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Top 10 Project Methodology Templates with Samples and Examples

Vaishali Rai

Project management is confusing. Have you ever been in a situation like this, sitting at your project meeting, perhaps feeling out of your depth, and finding it hard to follow the conversation around you? It may be due to unstructured and unorganized execution of the project's principles. You also might need to apply a suitable project management methodology. 

What is project management methodology?

A project management methodology is a set of principles, techniques, and procedures Project Managers use to execute and manage projects. There are several methodologies and all require different workflows, deliverables, and project management software development. The project management methodologies facilitate team collaboration by directing team members to work for a common objective.

Are your projects complex or straightforward? Whatever the case may be, these Top 10 Project Management Cycle Templates will help you organize and track every bit of it!

When a project is carried out systematically, chances of success are better. Project managers are responsible for planning tasks, tracking progress, and delivering results. Here’s when a project methodology comes in. It includes certain procedures that help you structure your team’s workflow.

There are many project methodologies available for the systematic execution of a project. Choosing the best one among a landscape of methodologies can be overwhelming. Some of these work well in specific projects or industries. However, Product managers select the methodology that best suits the way their teams work. 

Here, in this blog, we'll talk about project methodologies and templates you can use in your projects. 

Let’s explore!

Template 1: Project Management Methodologies PowerPoint Presentation Slides

This PPT displays an elaborative project agenda, including the project brief essential to operate efficiently. The layout also consists of details about the company's products. Showcase the progress summary, and the milestones achieved and reflect on the potential goals. Download now!

Download now!

Template 2: Three Principles of Waterfall Project Methodology

This PPT is designed while keeping in mind the linear approach, meaning that the tasks are organized in a sequence. This template allows you to map the tasks from beginning to end and work accordingly. It includes three essential waterfall project methodology principles: low customer involvement, robust project documentation, and sequential stages that smoothen up the project management process. Download now!

Template 3: 5D Consulting Project Methodology with Implementation

This PPT Template portrays a five-dimensional visualization process for consulting projects. It includes major steps like discovering, designing, developing, designing, and determining while considering budgetary and cost requirements. It also comprises activities like process assessment, tools management, collaboration, etc., that aid in accurate project deployment and maintenance. Download now!

Template 4: Enterprise Resource Planning Consulting Project Methodology

This template displays an execution method for designing ERP software for both parties; the consulting firm and the buyer. It includes the implementation team, administrative project management, project management team, etc. Ace your resource planning game by organizing, identifying, and listing the resources required to complete a project. Get it now!

Template 5: Rotation Process Illustrating Agile Project Methodology

Agile is more of an approach than a methodology. It is collaborative, fast and effective, data-backed, and values individuals over processes. This template lets you analyze processes, provide suggestions, plan & design projects, project construction, and evaluate & monitor processes. Download now!

Template 6: Consulting Project Methodology for Supply Chain and Logistics

This template exhibits consulting project methodology for supply chain and logistics. It includes the five-step process of mapping, internal audit, gap assessment, solution design, and implementation. The topics discussed in this slide are gap analysis, solution design, implementation, internal audit, and mapping. Download this versatile template now!

Template 7: Project Management Methodology Including Planning

This methodology is the one most used by project managers. It portrays the tasks in a chronological manner involving designing, developing, testing, and deploying a project. If you're looking for a comprehensive guide to your next project, look no further than this. Download it now!

Template 8: Project Management and Implementation Methodology Overview

Project management and implementation methodology plays a significant role in ensuring successful delivery of projects. This template explains how these methods can be used to ensure the successful delivery of projects, along with some tips for implementing them. They also include a variety of practical examples to help you understand how the methodology can be applied in a real-world scenario. Get it now!

Template 9: Waterfall vs Agile Development Methodology for Project

This two-stage process template for projects is explicit and effective. It combines clarity and concise expression to achieve holistic project development by enabling client/stakeholder collaboration. It encourages frequent interaction of team members, making them resolve any complexities and meet requirements before deadlines. Download this now!

Template 10: Methodology Five Steps Indicating Project Lifecycle

Strategically important complex projects that are long-term, resource-heavy, and extensive, require flexible project management methodology. This template includes five steps of a project lifecycle that helps bring more cohesion to your project. Keep every team member on the same page with this helpful and 100% customizable template. Download now!

Manage Your Projects Well

By choosing the right project management methodology at the right time and the right place, you’ll be able to make your projects more efficient. Finding the perfect project methodology also helps implement processes right for you, your team, and your organization.

We hope that the above set of templates serves as the ultimate tool in your belt!

FAQs on Project Methodology

What is a project methodology.

A project management methodology is a detailed manual to supervise project completion. A project team uses this set of defined processes to initiate, plan, and execute the project. The type of project methodology you choose establishes the way of work organization, prioritization, and completion. 

The project management methodology aims to standardize, structure, and organize work requirements and methods. This helps focus on what works best and enables the repetition of successful aspects and learning from mistakes, resulting in a continuous improvement process.

What are the five project methodologies?

Here are five common project methodologies used by Project Managers to manage workflow:

• Agile : This method is best suited for projects which require extreme flexibility and speed. It focuses less on documentation and more on customer satisfaction. Agile methodology is good for products with a faster release cycle. 
• Scrum : Scrum methodology has an iterative project management style. It follows the principles followed in Agile methodology. In this method, the work is done in sessions known as ‘Sprints’. Here, the Scrum Master facilitates the process instead of a Project Manager. 
• Waterfall : It is based on traditional methods and mainly focuses on following the processes. Here, much emphasis is given to project documentation. 
• Critical Path Method : This methodology is a step-by-step method and works best for projects with independent tasks. Its key role is to measure and prioritize tasks.
• Program Evaluation and Review Technique : This method is commonly used along with CPM (Critical Path Method). It is mostly used by businesses that are looking for expansion. It measures progress to create timelines and budgets.
• Critical Chain Method : A separate classification, this methodology is more advanced than the CPM methodology. Here, goals are created based on constraints while focusing on cost-saving benefits.

What are the three major types of project methodologies?

Here are three major types of methodologies commonly used:

• Scrum method : Scrum is the most widely used agile methodology for project management. It allows you to do more by scheduling tasks in short cycles named sprints. It enables you to work as a dedicated team to analyze processes, meet requirements, and meet deadlines. It also helps you receive continuous feedback rather than using final evaluations. The scrum methodology is mostly used to develop new projects, compile budgets, and organize annual reports. 
• Waterfall method : This method is linear and phase-based. It arranges and organizes tasks chronologically, which helps identify major areas of errors. Documentation is a huge part of waterfall methodology. It entails precise details about what you’re doing and how you’re doing it. This methodology doesn’t provide any room for flexibility.
• Lean and Six Sigma method : Lean and Six Sigma method is famous for its ability to manage the resource and time wastage that occurs in other methodologies. It is an approach to continuous improvement that is divided into two types of initiatives- Ongoing improvement initiatives and project-based initiatives. Each of these is associated with a set of methods and tools for you to employ. Ultimately, this methodology is based on the Kaizen principle that aims at making small changes on a daily basis for continuous improvement in small, easy steps.

How do you prepare a project methodology?

A good project method will represent the convergence of many factors, such as your scope, professional experience, and the research done. Here’s how you can prepare a project methodology in five steps:

• Communicate deliverables : A solid plan requires proper research and pre-planning. So, the first step is to set clear objectives, cost & budget, project requirements, and deliverables to work upon. 
• Define the process : Choose the project methodology that best suits your team’s workflow and organizational structure. Sit with your team and draft a process that matches your work style and project requirements. 
• Communicate risks and deadlines : Analyzing the ability to manage risks while meeting project deadlines is the next step in preparing a methodology. You need to observe the level of risk you can handle based on the size of the project.
• Determine task dependencies : Next, it is important to understand if you can perform tasks while keeping room for flexibility to alter the processes.

Define client/ stakeholder collaboration : Finally, you need to oversee the level of involvement you need from your stakeholders and clients in a project. It also defines team roles and assignments to help break down bigger projects into small and easy tasks.

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• [Updated 2023] Top 20 One Page Project Plans, Project Proposals, and Executive Summaries for Project Management
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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on August 25, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation , or research paper , the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic .

It should include:

• The type of research you conducted
• How you collected and analyzed your data
• Any tools or materials you used in the research
• How you mitigated or avoided research biases
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, other interesting articles, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ? How did you prevent bias from affecting your data?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalizable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalized your concepts and measured your variables. Discuss your sampling method or inclusion and exclusion criteria , as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on July 4–8, 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

• Information bias
• Omitted variable bias
• Regression to the mean
• Survivorship bias
• Undercoverage bias
• Sampling bias

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyze?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness store’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

• The Hawthorne effect
• Observer bias
• The placebo effect
• Response bias and Nonresponse bias
• The Pygmalion effect
• Recall bias
• Social desirability bias
• Self-selection bias

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods.

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Next, you should indicate how you processed and analyzed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analyzing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorizing and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviors, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalized beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalizable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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Here's What You Need to Understand About Research Methodology

Table of Contents

Research methodology involves a systematic and well-structured approach to conducting scholarly or scientific inquiries. Knowing the significance of research methodology and its different components is crucial as it serves as the basis for any study.

Typically, your research topic will start as a broad idea you want to investigate more thoroughly. Once you’ve identified a research problem and created research questions , you must choose the appropriate methodology and frameworks to address those questions effectively.

What is the definition of a research methodology?

Research methodology is the process or the way you intend to execute your study. The methodology section of a research paper outlines how you plan to conduct your study. It covers various steps such as collecting data, statistical analysis, observing participants, and other procedures involved in the research process

The methods section should give a description of the process that will convert your idea into a study. Additionally, the outcomes of your process must provide valid and reliable results resonant with the aims and objectives of your research. This thumb rule holds complete validity, no matter whether your paper has inclinations for qualitative or quantitative usage.

Studying research methods used in related studies can provide helpful insights and direction for your own research. Now easily discover papers related to your topic on SciSpace and utilize our AI research assistant, Copilot , to quickly review the methodologies applied in different papers.

The need for a good research methodology

While deciding on your approach towards your research, the reason or factors you weighed in choosing a particular problem and formulating a research topic need to be validated and explained. A research methodology helps you do exactly that. Moreover, a good research methodology lets you build your argument to validate your research work performed through various data collection methods, analytical methods, and other essential points.

Just imagine it as a strategy documented to provide an overview of what you intend to do.

While undertaking any research writing or performing the research itself, you may get drifted in not something of much importance. In such a case, a research methodology helps you to get back to your outlined work methodology.

A research methodology helps in keeping you accountable for your work. Additionally, it can help you evaluate whether your work is in sync with your original aims and objectives or not. Besides, a good research methodology enables you to navigate your research process smoothly and swiftly while providing effective planning to achieve your desired results.

What is the basic structure of a research methodology?

Usually, you must ensure to include the following stated aspects while deciding over the basic structure of your research methodology:

1. Your research procedure

Explain what research methods you’re going to use. Whether you intend to proceed with quantitative or qualitative, or a composite of both approaches, you need to state that explicitly. The option among the three depends on your research’s aim, objectives, and scope.

2. Provide the rationality behind your chosen approach

Based on logic and reason, let your readers know why you have chosen said research methodologies. Additionally, you have to build strong arguments supporting why your chosen research method is the best way to achieve the desired outcome.

3. Explain your mechanism

The mechanism encompasses the research methods or instruments you will use to develop your research methodology. It usually refers to your data collection methods. You can use interviews, surveys, physical questionnaires, etc., of the many available mechanisms as research methodology instruments. The data collection method is determined by the type of research and whether the data is quantitative data(includes numerical data) or qualitative data (perception, morale, etc.) Moreover, you need to put logical reasoning behind choosing a particular instrument.

4. Significance of outcomes

The results will be available once you have finished experimenting. However, you should also explain how you plan to use the data to interpret the findings. This section also aids in understanding the problem from within, breaking it down into pieces, and viewing the research problem from various perspectives.

5. Reader’s advice

Anything that you feel must be explained to spread more awareness among readers and focus groups must be included and described in detail. You should not just specify your research methodology on the assumption that a reader is aware of the topic.  

All the relevant information that explains and simplifies your research paper must be included in the methodology section. If you are conducting your research in a non-traditional manner, give a logical justification and list its benefits.

6. Explain your sample space

Include information about the sample and sample space in the methodology section. The term "sample" refers to a smaller set of data that a researcher selects or chooses from a larger group of people or focus groups using a predetermined selection method. Let your readers know how you are going to distinguish between relevant and non-relevant samples. How you figured out those exact numbers to back your research methodology, i.e. the sample spacing of instruments, must be discussed thoroughly.

For example, if you are going to conduct a survey or interview, then by what procedure will you select the interviewees (or sample size in case of surveys), and how exactly will the interview or survey be conducted.

7. Challenges and limitations

This part, which is frequently assumed to be unnecessary, is actually very important. The challenges and limitations that your chosen strategy inherently possesses must be specified while you are conducting different types of research.

The importance of a good research methodology

You must have observed that all research papers, dissertations, or theses carry a chapter entirely dedicated to research methodology. This section helps maintain your credibility as a better interpreter of results rather than a manipulator.

A good research methodology always explains the procedure, data collection methods and techniques, aim, and scope of the research. In a research study, it leads to a well-organized, rationality-based approach, while the paper lacking it is often observed as messy or disorganized.

You should pay special attention to validating your chosen way towards the research methodology. This becomes extremely important in case you select an unconventional or a distinct method of execution.

Curating and developing a strong, effective research methodology can assist you in addressing a variety of situations, such as:

• When someone tries to duplicate or expand upon your research after few years.
• If a contradiction or conflict of facts occurs at a later time. This gives you the security you need to deal with these contradictions while still being able to defend your approach.
• Gaining a tactical approach in getting your research completed in time. Just ensure you are using the right approach while drafting your research methodology, and it can help you achieve your desired outcomes. Additionally, it provides a better explanation and understanding of the research question itself.
• Documenting the results so that the final outcome of the research stays as you intended it to be while starting.

Instruments you could use while writing a good research methodology

As a researcher, you must choose which tools or data collection methods that fit best in terms of the relevance of your research. This decision has to be wise.

There exists many research equipments or tools that you can use to carry out your research process. These are classified as:

a. Interviews (One-on-One or a Group)

An interview aimed to get your desired research outcomes can be undertaken in many different ways. For example, you can design your interview as structured, semi-structured, or unstructured. What sets them apart is the degree of formality in the questions. On the other hand, in a group interview, your aim should be to collect more opinions and group perceptions from the focus groups on a certain topic rather than looking out for some formal answers.

In surveys, you are in better control if you specifically draft the questions you seek the response for. For example, you may choose to include free-style questions that can be answered descriptively, or you may provide a multiple-choice type response for questions. Besides, you can also opt to choose both ways, deciding what suits your research process and purpose better.

c. Sample Groups

Similar to the group interviews, here, you can select a group of individuals and assign them a topic to discuss or freely express their opinions over that. You can simultaneously note down the answers and later draft them appropriately, deciding on the relevance of every response.

d. Observations

If your research domain is humanities or sociology, observations are the best-proven method to draw your research methodology. Of course, you can always include studying the spontaneous response of the participants towards a situation or conducting the same but in a more structured manner. A structured observation means putting the participants in a situation at a previously decided time and then studying their responses.

Of all the tools described above, it is you who should wisely choose the instruments and decide what’s the best fit for your research. You must not restrict yourself from multiple methods or a combination of a few instruments if appropriate in drafting a good research methodology.

Types of research methodology

A research methodology exists in various forms. Depending upon their approach, whether centered around words, numbers, or both, methodologies are distinguished as qualitative, quantitative, or an amalgamation of both.

1. Qualitative research methodology

When a research methodology primarily focuses on words and textual data, then it is generally referred to as qualitative research methodology. This type is usually preferred among researchers when the aim and scope of the research are mainly theoretical and explanatory.

The instruments used are observations, interviews, and sample groups. You can use this methodology if you are trying to study human behavior or response in some situations. Generally, qualitative research methodology is widely used in sociology, psychology, and other related domains.

2. Quantitative research methodology

If your research is majorly centered on data, figures, and stats, then analyzing these numerical data is often referred to as quantitative research methodology. You can use quantitative research methodology if your research requires you to validate or justify the obtained results.

In quantitative methods, surveys, tests, experiments, and evaluations of current databases can be advantageously used as instruments If your research involves testing some hypothesis, then use this methodology.

3. Amalgam methodology

As the name suggests, the amalgam methodology uses both quantitative and qualitative approaches. This methodology is used when a part of the research requires you to verify the facts and figures, whereas the other part demands you to discover the theoretical and explanatory nature of the research question.

The instruments for the amalgam methodology require you to conduct interviews and surveys, including tests and experiments. The outcome of this methodology can be insightful and valuable as it provides precise test results in line with theoretical explanations and reasoning.

The amalgam method, makes your work both factual and rational at the same time.

Final words: How to decide which is the best research methodology?

If you have kept your sincerity and awareness intact with the aims and scope of research well enough, you must have got an idea of which research methodology suits your work best.

Before deciding which research methodology answers your research question, you must invest significant time in reading and doing your homework for that. Taking references that yield relevant results should be your first approach to establishing a research methodology.

Moreover, you should never refrain from exploring other options. Before setting your work in stone, you must try all the available options as it explains why the choice of research methodology that you finally make is more appropriate than the other available options.

You should always go for a quantitative research methodology if your research requires gathering large amounts of data, figures, and statistics. This research methodology will provide you with results if your research paper involves the validation of some hypothesis.

Whereas, if  you are looking for more explanations, reasons, opinions, and public perceptions around a theory, you must use qualitative research methodology.The choice of an appropriate research methodology ultimately depends on what you want to achieve through your research.

Frequently Asked Questions (FAQs) about Research Methodology

1. how to write a research methodology.

You can always provide a separate section for research methodology where you should specify details about the methods and instruments used during the research, discussions on result analysis, including insights into the background information, and conveying the research limitations.

2. What are the types of research methodology?

There generally exists four types of research methodology i.e.

• Observation
• Experimental
• Derivational

3. What is the true meaning of research methodology?

The set of techniques or procedures followed to discover and analyze the information gathered to validate or justify a research outcome is generally called Research Methodology.

4. Where lies the importance of research methodology?

Your research methodology directly reflects the validity of your research outcomes and how well-informed your research work is. Moreover, it can help future researchers cite or refer to your research if they plan to use a similar research methodology.

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• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• 6. The Methodology
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

Kallet, Richard H. "How to Write the Methods Section of a Research Paper." Respiratory Care 49 (October 2004): 1229-1232.

Importance of a Good Methodology Section

You must explain how you obtained and analyzed your results for the following reasons:

• Readers need to know how the data was obtained because the method you chose affects the results and, by extension, how you interpreted their significance in the discussion section of your paper.
• Methodology is crucial for any branch of scholarship because an unreliable method produces unreliable results and, as a consequence, undermines the value of your analysis of the findings.
• In most cases, there are a variety of different methods you can choose to investigate a research problem. The methodology section of your paper should clearly articulate the reasons why you have chosen a particular procedure or technique.
• The reader wants to know that the data was collected or generated in a way that is consistent with accepted practice in the field of study. For example, if you are using a multiple choice questionnaire, readers need to know that it offered your respondents a reasonable range of answers to choose from.
• The method must be appropriate to fulfilling the overall aims of the study. For example, you need to ensure that you have a large enough sample size to be able to generalize and make recommendations based upon the findings.
• The methodology should discuss the problems that were anticipated and the steps you took to prevent them from occurring. For any problems that do arise, you must describe the ways in which they were minimized or why these problems do not impact in any meaningful way your interpretation of the findings.
• In the social and behavioral sciences, it is important to always provide sufficient information to allow other researchers to adopt or replicate your methodology. This information is particularly important when a new method has been developed or an innovative use of an existing method is utilized.

Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects . 5th edition. Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008.

Structure and Writing Style

I.  Groups of Research Methods

There are two main groups of research methods in the social sciences:

• The e mpirical-analytical group approaches the study of social sciences in a similar manner that researchers study the natural sciences . This type of research focuses on objective knowledge, research questions that can be answered yes or no, and operational definitions of variables to be measured. The empirical-analytical group employs deductive reasoning that uses existing theory as a foundation for formulating hypotheses that need to be tested. This approach is focused on explanation.
• The i nterpretative group of methods is focused on understanding phenomenon in a comprehensive, holistic way . Interpretive methods focus on analytically disclosing the meaning-making practices of human subjects [the why, how, or by what means people do what they do], while showing how those practices arrange so that it can be used to generate observable outcomes. Interpretive methods allow you to recognize your connection to the phenomena under investigation. However, the interpretative group requires careful examination of variables because it focuses more on subjective knowledge.

II.  Content

The introduction to your methodology section should begin by restating the research problem and underlying assumptions underpinning your study. This is followed by situating the methods you used to gather, analyze, and process information within the overall “tradition” of your field of study and within the particular research design you have chosen to study the problem. If the method you choose lies outside of the tradition of your field [i.e., your review of the literature demonstrates that the method is not commonly used], provide a justification for how your choice of methods specifically addresses the research problem in ways that have not been utilized in prior studies.

The remainder of your methodology section should describe the following:

• Decisions made in selecting the data you have analyzed or, in the case of qualitative research, the subjects and research setting you have examined,
• Tools and methods used to identify and collect information, and how you identified relevant variables,
• The ways in which you processed the data and the procedures you used to analyze that data, and
• The specific research tools or strategies that you utilized to study the underlying hypothesis and research questions.

In addition, an effectively written methodology section should:

• Introduce the overall methodological approach for investigating your research problem . Is your study qualitative or quantitative or a combination of both (mixed method)? Are you going to take a special approach, such as action research, or a more neutral stance?
• Indicate how the approach fits the overall research design . Your methods for gathering data should have a clear connection to your research problem. In other words, make sure that your methods will actually address the problem. One of the most common deficiencies found in research papers is that the proposed methodology is not suitable to achieving the stated objective of your paper.
• Describe the specific methods of data collection you are going to use , such as, surveys, interviews, questionnaires, observation, archival research. If you are analyzing existing data, such as a data set or archival documents, describe how it was originally created or gathered and by whom. Also be sure to explain how older data is still relevant to investigating the current research problem.
• Explain how you intend to analyze your results . Will you use statistical analysis? Will you use specific theoretical perspectives to help you analyze a text or explain observed behaviors? Describe how you plan to obtain an accurate assessment of relationships, patterns, trends, distributions, and possible contradictions found in the data.
• Provide background and a rationale for methodologies that are unfamiliar for your readers . Very often in the social sciences, research problems and the methods for investigating them require more explanation/rationale than widely accepted rules governing the natural and physical sciences. Be clear and concise in your explanation.
• Provide a justification for subject selection and sampling procedure . For instance, if you propose to conduct interviews, how do you intend to select the sample population? If you are analyzing texts, which texts have you chosen, and why? If you are using statistics, why is this set of data being used? If other data sources exist, explain why the data you chose is most appropriate to addressing the research problem.
• Provide a justification for case study selection . A common method of analyzing research problems in the social sciences is to analyze specific cases. These can be a person, place, event, phenomenon, or other type of subject of analysis that are either examined as a singular topic of in-depth investigation or multiple topics of investigation studied for the purpose of comparing or contrasting findings. In either method, you should explain why a case or cases were chosen and how they specifically relate to the research problem.
• Describe potential limitations . Are there any practical limitations that could affect your data collection? How will you attempt to control for potential confounding variables and errors? If your methodology may lead to problems you can anticipate, state this openly and show why pursuing this methodology outweighs the risk of these problems cropping up.

NOTE:   Once you have written all of the elements of the methods section, subsequent revisions should focus on how to present those elements as clearly and as logically as possibly. The description of how you prepared to study the research problem, how you gathered the data, and the protocol for analyzing the data should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. If necessary, consider using appendices for raw data.

ANOTHER NOTE: If you are conducting a qualitative analysis of a research problem , the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods. Because you are the primary instrument for generating the data [e.g., through interviews or observations], the process for collecting that data has a significantly greater impact on producing the findings. Therefore, qualitative research requires a more detailed description of the methods used.

YET ANOTHER NOTE:   If your study involves interviews, observations, or other qualitative techniques involving human subjects , you may be required to obtain approval from the university's Office for the Protection of Research Subjects before beginning your research. This is not a common procedure for most undergraduate level student research assignments. However, i f your professor states you need approval, you must include a statement in your methods section that you received official endorsement and adequate informed consent from the office and that there was a clear assessment and minimization of risks to participants and to the university. This statement informs the reader that your study was conducted in an ethical and responsible manner. In some cases, the approval notice is included as an appendix to your paper.

III.  Problems to Avoid

Irrelevant Detail The methodology section of your paper should be thorough but concise. Do not provide any background information that does not directly help the reader understand why a particular method was chosen, how the data was gathered or obtained, and how the data was analyzed in relation to the research problem [note: analyzed, not interpreted! Save how you interpreted the findings for the discussion section]. With this in mind, the page length of your methods section will generally be less than any other section of your paper except the conclusion.

Unnecessary Explanation of Basic Procedures Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you applied a method , not on the mechanics of doing a method. An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.

Problem Blindness It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials. Do not ignore these problems or pretend they did not occur. Often, documenting how you overcame obstacles can form an interesting part of the methodology. It demonstrates to the reader that you can provide a cogent rationale for the decisions you made to minimize the impact of any problems that arose.

Literature Review Just as the literature review section of your paper provides an overview of sources you have examined while researching a particular topic, the methodology section should cite any sources that informed your choice and application of a particular method [i.e., the choice of a survey should include any citations to the works you used to help construct the survey].

It’s More than Sources of Information! A description of a research study's method should not be confused with a description of the sources of information. Such a list of sources is useful in and of itself, especially if it is accompanied by an explanation about the selection and use of the sources. The description of the project's methodology complements a list of sources in that it sets forth the organization and interpretation of information emanating from those sources.

Azevedo, L.F. et al. "How to Write a Scientific Paper: Writing the Methods Section." Revista Portuguesa de Pneumologia 17 (2011): 232-238; Blair Lorrie. “Choosing a Methodology.” In Writing a Graduate Thesis or Dissertation , Teaching Writing Series. (Rotterdam: Sense Publishers 2016), pp. 49-72; Butin, Dan W. The Education Dissertation A Guide for Practitioner Scholars . Thousand Oaks, CA: Corwin, 2010; Carter, Susan. Structuring Your Research Thesis . New York: Palgrave Macmillan, 2012; Kallet, Richard H. “How to Write the Methods Section of a Research Paper.” Respiratory Care 49 (October 2004):1229-1232; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008. Methods Section. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Rudestam, Kjell Erik and Rae R. Newton. “The Method Chapter: Describing Your Research Plan.” In Surviving Your Dissertation: A Comprehensive Guide to Content and Process . (Thousand Oaks, Sage Publications, 2015), pp. 87-115; What is Interpretive Research. Institute of Public and International Affairs, University of Utah; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University; Methods and Materials. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests. A qualitative approach, such as conducting interviews or content analysis of archival texts, can yield exciting new insights about a research problem, but it should not be undertaken simply because you have a disdain for running a simple regression. A well designed quantitative research study can often be accomplished in very clear and direct ways, whereas, a similar study of a qualitative nature usually requires considerable time to analyze large volumes of data and a tremendous burden to create new paths for analysis where previously no path associated with your research problem had existed.

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

There can be multiple meaning associated with the term "theories" and the term "methods" in social sciences research. A helpful way to delineate between them is to understand "theories" as representing different ways of characterizing the social world when you research it and "methods" as representing different ways of generating and analyzing data about that social world. Framed in this way, all empirical social sciences research involves theories and methods, whether they are stated explicitly or not. However, while theories and methods are often related, it is important that, as a researcher, you deliberately separate them in order to avoid your theories playing a disproportionate role in shaping what outcomes your chosen methods produce.

Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem. This is how scholarship grows and branches out into new intellectual territory.

Reynolds, R. Larry. Ways of Knowing. Alternative Microeconomics . Part 1, Chapter 3. Boise State University; The Theory-Method Relationship. S-Cool Revision. United Kingdom.

Yet Another Writing Tip

Methods and the Methodology

Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research . Descriptions of methods usually include defining and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].

The methodology refers to a discussion of the underlying reasoning why particular methods were used . This discussion includes describing the theoretical concepts that inform the choice of methods to be applied, placing the choice of methods within the more general nature of academic work, and reviewing its relevance to examining the research problem. The methodology section also includes a thorough review of the methods other scholars have used to study the topic.

Bryman, Alan. "Of Methods and Methodology." Qualitative Research in Organizations and Management: An International Journal 3 (2008): 159-168; Schneider, Florian. “What's in a Methodology: The Difference between Method, Methodology, and Theory…and How to Get the Balance Right?” PoliticsEastAsia.com. Chinese Department, University of Leiden, Netherlands.

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Research Methodology Example

Detailed Walkthrough + Free Methodology Chapter Template

If you’re working on a dissertation or thesis and are looking for an example of a research methodology chapter , you’ve come to the right place.

In this video, we walk you through a research methodology from a dissertation that earned full distinction , step by step. We start off by discussing the core components of a research methodology by unpacking our free methodology chapter template . We then progress to the sample research methodology to show how these concepts are applied in an actual dissertation, thesis or research project.

If you’re currently working on your research methodology chapter, you may also find the following resources useful:

• Research methodology 101 : an introductory video discussing what a methodology is and the role it plays within a dissertation
• Research design 101 : an overview of the most common research designs for both qualitative and quantitative studies
• Variables 101 : an introductory video covering the different types of variables that exist within research.
• Sampling 101 : an overview of the main sampling methods
• Methodology tips : a video discussion covering various tips to help you write a high-quality methodology chapter
• Private coaching : Get hands-on help with your research methodology

PS – If you’re working on a dissertation, be sure to also check out our collection of dissertation and thesis examples here .

FAQ: Research Methodology Example

Research methodology example: frequently asked questions, is the sample research methodology real.

Yes. The chapter example is an extract from a Master’s-level dissertation for an MBA program. A few minor edits have been made to protect the privacy of the sponsoring organisation, but these have no material impact on the research methodology.

Can I replicate this methodology for my dissertation?

As we discuss in the video, every research methodology will be different, depending on the research aims, objectives and research questions. Therefore, you’ll need to tailor your literature review to suit your specific context.

You can learn more about the basics of writing a research methodology chapter here .

Where can I find more examples of research methodologies?

The best place to find more examples of methodology chapters would be within dissertation/thesis databases. These databases include dissertations, theses and research projects that have successfully passed the assessment criteria for the respective university, meaning that you have at least some sort of quality assurance.

The Open Access Thesis Database (OATD) is a good starting point.

How do I get the research methodology chapter template?

You can access our free methodology chapter template here .

Is the methodology template really free?

Yes. There is no cost for the template and you are free to use it as you wish.

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Published by Nicolas at March 21st, 2024 , Revised On March 12, 2024

The Ultimate Guide To Research Methodology

Research methodology is a crucial aspect of any investigative process, serving as the blueprint for the entire research journey. If you are stuck in the methodology section of your research paper , then this blog will guide you on what is a research methodology, its types and how to successfully conduct one. 

Table of Contents

What Is Research Methodology?

Research methodology can be defined as the systematic framework that guides researchers in designing, conducting, and analyzing their investigations. It encompasses a structured set of processes, techniques, and tools employed to gather and interpret data, ensuring the reliability and validity of the research findings. 

Research methodology is not confined to a singular approach; rather, it encapsulates a diverse range of methods tailored to the specific requirements of the research objectives.

Here is why Research methodology is important in academic and professional settings.

Facilitating Rigorous Inquiry

Research methodology forms the backbone of rigorous inquiry. It provides a structured approach that aids researchers in formulating precise thesis statements , selecting appropriate methodologies, and executing systematic investigations. This, in turn, enhances the quality and credibility of the research outcomes.

Ensuring Reproducibility And Reliability

In both academic and professional contexts, the ability to reproduce research outcomes is paramount. A well-defined research methodology establishes clear procedures, making it possible for others to replicate the study. This not only validates the findings but also contributes to the cumulative nature of knowledge.

Guiding Decision-Making Processes

In professional settings, decisions often hinge on reliable data and insights. Research methodology equips professionals with the tools to gather pertinent information, analyze it rigorously, and derive meaningful conclusions.

This informed decision-making is instrumental in achieving organizational goals and staying ahead in competitive environments.

Contributing To Academic Excellence

For academic researchers, adherence to robust research methodology is a hallmark of excellence. Institutions value research that adheres to high standards of methodology, fostering a culture of academic rigour and intellectual integrity. Furthermore, it prepares students with critical skills applicable beyond academia.

Enhancing Problem-Solving Abilities

Research methodology instills a problem-solving mindset by encouraging researchers to approach challenges systematically. It equips individuals with the skills to dissect complex issues, formulate hypotheses , and devise effective strategies for investigation.

Understanding Research Methodology

In the pursuit of knowledge and discovery, understanding the fundamentals of research methodology is paramount. 

Basics Of Research

Research, in its essence, is a systematic and organized process of inquiry aimed at expanding our understanding of a particular subject or phenomenon. It involves the exploration of existing knowledge, the formulation of hypotheses, and the collection and analysis of data to draw meaningful conclusions. 

Research is a dynamic and iterative process that contributes to the continuous evolution of knowledge in various disciplines.

Types of Research

Research takes on various forms, each tailored to the nature of the inquiry. Broadly classified, research can be categorized into two main types:

• Quantitative Research: This type involves the collection and analysis of numerical data to identify patterns, relationships, and statistical significance. It is particularly useful for testing hypotheses and making predictions.
• Qualitative Research: Qualitative research focuses on understanding the depth and details of a phenomenon through non-numerical data. It often involves methods such as interviews, focus groups, and content analysis, providing rich insights into complex issues.

Components Of Research Methodology

To conduct effective research, one must go through the different components of research methodology. These components form the scaffolding that supports the entire research process, ensuring its coherence and validity.

Research Design

Research design serves as the blueprint for the entire research project. It outlines the overall structure and strategy for conducting the study. The three primary types of research design are:

• Exploratory Research: Aimed at gaining insights and familiarity with the topic, often used in the early stages of research.
• Descriptive Research: Involves portraying an accurate profile of a situation or phenomenon, answering the ‘what,’ ‘who,’ ‘where,’ and ‘when’ questions.
• Explanatory Research: Seeks to identify the causes and effects of a phenomenon, explaining the ‘why’ and ‘how.’

Data Collection Methods

Choosing the right data collection methods is crucial for obtaining reliable and relevant information. Common methods include:

• Surveys and Questionnaires: Employed to gather information from a large number of respondents through standardized questions.
• Interviews: In-depth conversations with participants, offering qualitative insights.
• Observation: Systematic watching and recording of behaviour, events, or processes in their natural setting.

Data Analysis Techniques

Once data is collected, analysis becomes imperative to derive meaningful conclusions. Different methodologies exist for quantitative and qualitative data:

• Quantitative Data Analysis: Involves statistical techniques such as descriptive statistics, inferential statistics, and regression analysis to interpret numerical data.
• Qualitative Data Analysis: Methods like content analysis, thematic analysis, and grounded theory are employed to extract patterns, themes, and meanings from non-numerical data.

The research paper we write have:

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Choosing a Research Method

Selecting an appropriate research method is a critical decision in the research process. It determines the approach, tools, and techniques that will be used to answer the research questions. 

Quantitative Research Methods

Quantitative research involves the collection and analysis of numerical data, providing a structured and objective approach to understanding and explaining phenomena.

Experimental Research

Experimental research involves manipulating variables to observe the effect on another variable under controlled conditions. It aims to establish cause-and-effect relationships.

Key Characteristics:

• Controlled Environment: Experiments are conducted in a controlled setting to minimize external influences.
• Random Assignment: Participants are randomly assigned to different experimental conditions.
• Quantitative Data: Data collected is numerical, allowing for statistical analysis.

Applications: Commonly used in scientific studies and psychology to test hypotheses and identify causal relationships.

Survey Research

Survey research gathers information from a sample of individuals through standardized questionnaires or interviews. It aims to collect data on opinions, attitudes, and behaviours.

• Structured Instruments: Surveys use structured instruments, such as questionnaires, to collect data.
• Large Sample Size: Surveys often target a large and diverse group of participants.
• Quantitative Data Analysis: Responses are quantified for statistical analysis.

Applications: Widely employed in social sciences, marketing, and public opinion research to understand trends and preferences.

Descriptive Research

Descriptive research seeks to portray an accurate profile of a situation or phenomenon. It focuses on answering the ‘what,’ ‘who,’ ‘where,’ and ‘when’ questions.

• Observation and Data Collection: This involves observing and documenting without manipulating variables.
• Objective Description: Aim to provide an unbiased and factual account of the subject.
• Quantitative or Qualitative Data: T his can include both types of data, depending on the research focus.

Applications: Useful in situations where researchers want to understand and describe a phenomenon without altering it, common in social sciences and education.

Qualitative Research Methods

Qualitative research emphasizes exploring and understanding the depth and complexity of phenomena through non-numerical data.

A case study is an in-depth exploration of a particular person, group, event, or situation. It involves detailed, context-rich analysis.

• Rich Data Collection: Uses various data sources, such as interviews, observations, and documents.
• Contextual Understanding: Aims to understand the context and unique characteristics of the case.
• Holistic Approach: Examines the case in its entirety.

Applications: Common in social sciences, psychology, and business to investigate complex and specific instances.

Ethnography

Ethnography involves immersing the researcher in the culture or community being studied to gain a deep understanding of their behaviours, beliefs, and practices.

• Participant Observation: Researchers actively participate in the community or setting.
• Holistic Perspective: Focuses on the interconnectedness of cultural elements.
• Qualitative Data: In-depth narratives and descriptions are central to ethnographic studies.

Applications: Widely used in anthropology, sociology, and cultural studies to explore and document cultural practices.

Grounded Theory

Grounded theory aims to develop theories grounded in the data itself. It involves systematic data collection and analysis to construct theories from the ground up.

• Constant Comparison: Data is continually compared and analyzed during the research process.
• Inductive Reasoning: Theories emerge from the data rather than being imposed on it.
• Iterative Process: The research design evolves as the study progresses.

Applications: Commonly applied in sociology, nursing, and management studies to generate theories from empirical data.

Research design is the structural framework that outlines the systematic process and plan for conducting a study. It serves as the blueprint, guiding researchers on how to collect, analyze, and interpret data.

Exploratory, Descriptive, And Explanatory Designs

Exploratory design.

Exploratory research design is employed when a researcher aims to explore a relatively unknown subject or gain insights into a complex phenomenon.

• Flexibility: Allows for flexibility in data collection and analysis.
• Open-Ended Questions: Uses open-ended questions to gather a broad range of information.
• Preliminary Nature: Often used in the initial stages of research to formulate hypotheses.

Applications: Valuable in the early stages of investigation, especially when the researcher seeks a deeper understanding of a subject before formalizing research questions.

Descriptive Design

Descriptive research design focuses on portraying an accurate profile of a situation, group, or phenomenon.

• Structured Data Collection: Involves systematic and structured data collection methods.
• Objective Presentation: Aims to provide an unbiased and factual account of the subject.
• Quantitative or Qualitative Data: Can incorporate both types of data, depending on the research objectives.

Applications: Widely used in social sciences, marketing, and educational research to provide detailed and objective descriptions.

Explanatory Design

Explanatory research design aims to identify the causes and effects of a phenomenon, explaining the ‘why’ and ‘how’ behind observed relationships.

• Causal Relationships: Seeks to establish causal relationships between variables.
• Controlled Variables : Often involves controlling certain variables to isolate causal factors.
• Quantitative Analysis: Primarily relies on quantitative data analysis techniques.

Applications: Commonly employed in scientific studies and social sciences to delve into the underlying reasons behind observed patterns.

Cross-Sectional Vs. Longitudinal Designs

Cross-sectional design.

Cross-sectional designs collect data from participants at a single point in time.

• Snapshot View: Provides a snapshot of a population at a specific moment.
• Efficiency: More efficient in terms of time and resources.
• Limited Temporal Insights: Offers limited insights into changes over time.

Applications: Suitable for studying characteristics or behaviours that are stable or not expected to change rapidly.

Longitudinal Design

Longitudinal designs involve the collection of data from the same participants over an extended period.

• Temporal Sequence: Allows for the examination of changes over time.
• Causality Assessment: Facilitates the assessment of cause-and-effect relationships.
• Resource-Intensive: Requires more time and resources compared to cross-sectional designs.

Applications: Ideal for studying developmental processes, trends, or the impact of interventions over time.

Experimental Vs Non-experimental Designs

Experimental design.

Experimental designs involve manipulating variables under controlled conditions to observe the effect on another variable.

• Causality Inference: Enables the inference of cause-and-effect relationships.
• Quantitative Data: Primarily involves the collection and analysis of numerical data.

Applications: Commonly used in scientific studies, psychology, and medical research to establish causal relationships.

Non-Experimental Design

Non-experimental designs observe and describe phenomena without manipulating variables.

• Natural Settings: Data is often collected in natural settings without intervention.
• Descriptive or Correlational: Focuses on describing relationships or correlations between variables.
• Quantitative or Qualitative Data: This can involve either type of data, depending on the research approach.

Applications: Suitable for studying complex phenomena in real-world settings where manipulation may not be ethical or feasible.

Effective data collection is fundamental to the success of any research endeavour. 

Designing Effective Surveys

Objective Design:

• Clearly define the research objectives to guide the survey design.
• Craft questions that align with the study’s goals and avoid ambiguity.

Structured Format:

• Use a structured format with standardized questions for consistency.
• Include a mix of closed-ended and open-ended questions for detailed insights.

Pilot Testing:

• Conduct pilot tests to identify and rectify potential issues with survey design.
• Ensure clarity, relevance, and appropriateness of questions.

Sampling Strategy:

• Develop a robust sampling strategy to ensure a representative participant group.
• Consider random sampling or stratified sampling based on the research goals.

Conducting Interviews

Establishing Rapport:

• Build rapport with participants to create a comfortable and open environment.
• Clearly communicate the purpose of the interview and the value of participants’ input.

Open-Ended Questions:

• Frame open-ended questions to encourage detailed responses.
• Allow participants to express their thoughts and perspectives freely.

Active Listening:

• Practice active listening to understand areas and gather rich data.
• Avoid interrupting and maintain a non-judgmental stance during the interview.

Ethical Considerations:

• Obtain informed consent and assure participants of confidentiality.
• Be transparent about the study’s purpose and potential implications.

Observation

1. participant observation.

Immersive Participation:

• Actively immerse yourself in the setting or group being observed.
• Develop a deep understanding of behaviours, interactions, and context.

Field Notes:

• Maintain detailed and reflective field notes during observations.
• Document observed patterns, unexpected events, and participant reactions.

Ethical Awareness:

• Be conscious of ethical considerations, ensuring respect for participants.
• Balance the role of observer and participant to minimize bias.

2. Non-participant Observation

Objective Observation:

• Maintain a more detached and objective stance during non-participant observation.
• Focus on recording behaviours, events, and patterns without direct involvement.

Data Reliability:

• Enhance the reliability of data by reducing observer bias.
• Develop clear observation protocols and guidelines.

Contextual Understanding:

• Strive for a thorough understanding of the observed context.
• Consider combining non-participant observation with other methods for triangulation.

Archival Research

1. using existing data.

Identifying Relevant Archives:

• Locate and access archives relevant to the research topic.
• Collaborate with institutions or repositories holding valuable data.

Data Verification:

• Verify the accuracy and reliability of archived data.
• Cross-reference with other sources to ensure data integrity.

Ethical Use:

• Adhere to ethical guidelines when using existing data.
• Respect copyright and intellectual property rights.

2. Challenges and Considerations

Incomplete or Inaccurate Archives:

• Address the possibility of incomplete or inaccurate archival records.
• Acknowledge limitations and uncertainties in the data.

Temporal Bias:

• Recognize potential temporal biases in archived data.
• Consider the historical context and changes that may impact interpretation.

Access Limitations:

• Address potential limitations in accessing certain archives.
• Seek alternative sources or collaborate with institutions to overcome barriers.

Common Challenges in Research Methodology

Conducting research is a complex and dynamic process, often accompanied by a myriad of challenges. Addressing these challenges is crucial to ensure the reliability and validity of research findings.

Sampling Issues

Sampling bias:.

• The presence of sampling bias can lead to an unrepresentative sample, affecting the generalizability of findings.
• Employ random sampling methods and ensure the inclusion of diverse participants to reduce bias.

Sample Size Determination:

• Determining an appropriate sample size is a delicate balance. Too small a sample may lack statistical power, while an excessively large sample may strain resources.
• Conduct a power analysis to determine the optimal sample size based on the research objectives and expected effect size.

Data Quality And Validity

Measurement error:.

• Inaccuracies in measurement tools or data collection methods can introduce measurement errors, impacting the validity of results.
• Pilot test instruments, calibrate equipment, and use standardized measures to enhance the reliability of data.

Construct Validity:

• Ensuring that the chosen measures accurately capture the intended constructs is a persistent challenge.
• Use established measurement instruments and employ multiple measures to assess the same construct for triangulation.

Time And Resource Constraints

Timeline pressures:.

• Limited timeframes can compromise the depth and thoroughness of the research process.
• Develop a realistic timeline, prioritize tasks, and communicate expectations with stakeholders to manage time constraints effectively.

Resource Availability:

• Inadequate resources, whether financial or human, can impede the execution of research activities.
• Seek external funding, collaborate with other researchers, and explore alternative methods that require fewer resources.

Managing Bias in Research

Selection bias:.

• Selecting participants in a way that systematically skews the sample can introduce selection bias.
• Employ randomization techniques, use stratified sampling, and transparently report participant recruitment methods.

Confirmation Bias:

• Researchers may unintentionally favour information that confirms their preconceived beliefs or hypotheses.
• Adopt a systematic and open-minded approach, use blinded study designs, and engage in peer review to mitigate confirmation bias.

Tips On How To Write A Research Methodology

Conducting successful research relies not only on the application of sound methodologies but also on strategic planning and effective collaboration. Here are some tips to enhance the success of your research methodology:

Tip 1. Clear Research Objectives

Well-defined research objectives guide the entire research process. Clearly articulate the purpose of your study, outlining specific research questions or hypotheses.

Tip 2. Comprehensive Literature Review

A thorough literature review provides a foundation for understanding existing knowledge and identifying gaps. Invest time in reviewing relevant literature to inform your research design and methodology.

Tip 3. Detailed Research Plan

A detailed plan serves as a roadmap, ensuring all aspects of the research are systematically addressed. Develop a detailed research plan outlining timelines, milestones, and tasks.

Tip 4. Ethical Considerations

Ethical practices are fundamental to maintaining the integrity of research. Address ethical considerations early, obtain necessary approvals, and ensure participant rights are safeguarded.

Tip 5. Stay Updated On Methodologies

Research methodologies evolve, and staying updated is essential for employing the most effective techniques. Engage in continuous learning by attending workshops, conferences, and reading recent publications.

Tip 6. Adaptability In Methods

Unforeseen challenges may arise during research, necessitating adaptability in methods. Be flexible and willing to modify your approach when needed, ensuring the integrity of the study.

Tip 7. Iterative Approach

Research is often an iterative process, and refining methods based on ongoing findings enhance the study’s robustness. Regularly review and refine your research design and methods as the study progresses.

Frequently Asked Questions

What is the research methodology.

Research methodology is the systematic process of planning, executing, and evaluating scientific investigation. It encompasses the techniques, tools, and procedures used to collect, analyze, and interpret data, ensuring the reliability and validity of research findings.

What are the methodologies in research?

Research methodologies include qualitative and quantitative approaches. Qualitative methods involve in-depth exploration of non-numerical data, while quantitative methods use statistical analysis to examine numerical data. Mixed methods combine both approaches for a comprehensive understanding of research questions.

How to write research methodology?

To write a research methodology, clearly outline the study’s design, data collection, and analysis procedures. Specify research tools, participants, and sampling methods. Justify choices and discuss limitations. Ensure clarity, coherence, and alignment with research objectives for a robust methodology section.

How to write the methodology section of a research paper?

In the methodology section of a research paper, describe the study’s design, data collection, and analysis methods. Detail procedures, tools, participants, and sampling. Justify choices, address ethical considerations, and explain how the methodology aligns with research objectives, ensuring clarity and rigour.

What is mixed research methodology?

Mixed research methodology combines both qualitative and quantitative research approaches within a single study. This approach aims to enhance the details and depth of research findings by providing a more comprehensive understanding of the research problem or question.

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What is research methodology?

The basics of research methodology

Why do you need a research methodology, what needs to be included, why do you need to document your research method, what are the different types of research instruments, qualitative / quantitative / mixed research methodologies, how do you choose the best research methodology for you, frequently asked questions about research methodology, related articles.

When you’re working on your first piece of academic research, there are many different things to focus on, and it can be overwhelming to stay on top of everything. This is especially true of budding or inexperienced researchers.

If you’ve never put together a research proposal before or find yourself in a position where you need to explain your research methodology decisions, there are a few things you need to be aware of.

Once you understand the ins and outs, handling academic research in the future will be less intimidating. We break down the basics below:

A research methodology encompasses the way in which you intend to carry out your research. This includes how you plan to tackle things like collection methods, statistical analysis, participant observations, and more.

You can think of your research methodology as being a formula. One part will be how you plan on putting your research into practice, and another will be why you feel this is the best way to approach it. Your research methodology is ultimately a methodological and systematic plan to resolve your research problem.

In short, you are explaining how you will take your idea and turn it into a study, which in turn will produce valid and reliable results that are in accordance with the aims and objectives of your research. This is true whether your paper plans to make use of qualitative methods or quantitative methods.

The purpose of a research methodology is to explain the reasoning behind your approach to your research - you'll need to support your collection methods, methods of analysis, and other key points of your work.

Think of it like writing a plan or an outline for you what you intend to do.

When carrying out research, it can be easy to go off-track or depart from your standard methodology.

Tip: Having a methodology keeps you accountable and on track with your original aims and objectives, and gives you a suitable and sound plan to keep your project manageable, smooth, and effective.

With all that said, how do you write out your standard approach to a research methodology?

As a general plan, your methodology should include the following information:

• Your research method.  You need to state whether you plan to use quantitative analysis, qualitative analysis, or mixed-method research methods. This will often be determined by what you hope to achieve with your research.
• Explain your reasoning. Why are you taking this methodological approach? Why is this particular methodology the best way to answer your research problem and achieve your objectives?
• Explain your instruments.  This will mainly be about your collection methods. There are varying instruments to use such as interviews, physical surveys, questionnaires, for example. Your methodology will need to detail your reasoning in choosing a particular instrument for your research.
• What will you do with your results?  How are you going to analyze the data once you have gathered it?
• Advise your reader.  If there is anything in your research methodology that your reader might be unfamiliar with, you should explain it in more detail. For example, you should give any background information to your methods that might be relevant or provide your reasoning if you are conducting your research in a non-standard way.
• How will your sampling process go?  What will your sampling procedure be and why? For example, if you will collect data by carrying out semi-structured or unstructured interviews, how will you choose your interviewees and how will you conduct the interviews themselves?
• Any practical limitations?  You should discuss any limitations you foresee being an issue when you’re carrying out your research.

In any dissertation, thesis, or academic journal, you will always find a chapter dedicated to explaining the research methodology of the person who carried out the study, also referred to as the methodology section of the work.

A good research methodology will explain what you are going to do and why, while a poor methodology will lead to a messy or disorganized approach.

You should also be able to justify in this section your reasoning for why you intend to carry out your research in a particular way, especially if it might be a particularly unique method.

Having a sound methodology in place can also help you with the following:

• When another researcher at a later date wishes to try and replicate your research, they will need your explanations and guidelines.
• In the event that you receive any criticism or questioning on the research you carried out at a later point, you will be able to refer back to it and succinctly explain the how and why of your approach.
• It provides you with a plan to follow throughout your research. When you are drafting your methodology approach, you need to be sure that the method you are using is the right one for your goal. This will help you with both explaining and understanding your method.
• It affords you the opportunity to document from the outset what you intend to achieve with your research, from start to finish.

A research instrument is a tool you will use to help you collect, measure and analyze the data you use as part of your research.

The choice of research instrument will usually be yours to make as the researcher and will be whichever best suits your methodology.

There are many different research instruments you can use in collecting data for your research.

Generally, they can be grouped as follows:

• Interviews (either as a group or one-on-one). You can carry out interviews in many different ways. For example, your interview can be structured, semi-structured, or unstructured. The difference between them is how formal the set of questions is that is asked of the interviewee. In a group interview, you may choose to ask the interviewees to give you their opinions or perceptions on certain topics.
• Surveys (online or in-person). In survey research, you are posing questions in which you ask for a response from the person taking the survey. You may wish to have either free-answer questions such as essay-style questions, or you may wish to use closed questions such as multiple choice. You may even wish to make the survey a mixture of both.
• Focus Groups.  Similar to the group interview above, you may wish to ask a focus group to discuss a particular topic or opinion while you make a note of the answers given.
• Observations.  This is a good research instrument to use if you are looking into human behaviors. Different ways of researching this include studying the spontaneous behavior of participants in their everyday life, or something more structured. A structured observation is research conducted at a set time and place where researchers observe behavior as planned and agreed upon with participants.

These are the most common ways of carrying out research, but it is really dependent on your needs as a researcher and what approach you think is best to take.

It is also possible to combine a number of research instruments if this is necessary and appropriate in answering your research problem.

There are three different types of methodologies, and they are distinguished by whether they focus on words, numbers, or both.

➡️ Want to learn more about the differences between qualitative and quantitative research, and how to use both methods? Check out our guide for that!

If you've done your due diligence, you'll have an idea of which methodology approach is best suited to your research.

It’s likely that you will have carried out considerable reading and homework before you reach this point and you may have taken inspiration from other similar studies that have yielded good results.

Still, it is important to consider different options before setting your research in stone. Exploring different options available will help you to explain why the choice you ultimately make is preferable to other methods.

If proving your research problem requires you to gather large volumes of numerical data to test hypotheses, a quantitative research method is likely to provide you with the most usable results.

If instead you’re looking to try and learn more about people, and their perception of events, your methodology is more exploratory in nature and would therefore probably be better served using a qualitative research methodology.

It helps to always bring things back to the question: what do I want to achieve with my research?

Once you have conducted your research, you need to analyze it. Here are some helpful guides for qualitative data analysis:

➡️  How to do a content analysis

➡️  How to do a thematic analysis

➡️  How to do a rhetorical analysis

Research methodology refers to the techniques used to find and analyze information for a study, ensuring that the results are valid, reliable and that they address the research objective.

Data can typically be organized into four different categories or methods: observational, experimental, simulation, and derived.

Writing a methodology section is a process of introducing your methods and instruments, discussing your analysis, providing more background information, addressing your research limitations, and more.

Your research methodology section will need a clear research question and proposed research approach. You'll need to add a background, introduce your research question, write your methodology and add the works you cited during your data collecting phase.

The research methodology section of your study will indicate how valid your findings are and how well-informed your paper is. It also assists future researchers planning to use the same methodology, who want to cite your study or replicate it.

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helping you conduct any research project easily

7-Step Guide on How to Write Methodology of a Project

The methodology section helps the reader to understand how you collected data, the tools used, and the philosophy behind the steps you took. The section helps readers to determine the research veracity of your work. It can determine whether the paper meets desired conditions or it will fall short.

Creating a methodology is one of the most difficult tasks even though it can be a few paragraphs or pages in a paper that is hundreds of pages long. It must capture the type of research you did, how you collected data, the approach during analysis, tools used, and the rationale for all these actions.

Why is methodology important? It provides your philosophy on data collection and handling. It can tell a reader whether your data is valid and, therefore, whether your conclusions are justified. By the time the reader is interacting with the data, he will know that it has been collected professionally.

Here are crucial tips on how to write a project methodology section that captures the imagination of every reader.

• Understand the methodology section

To understand what to include in methods section, you must know the role that the section plays in a research paper. The chapter helps a reader to examine the validity of the data you are using to make conclusions. Notice that the section involves a revelation of the methods used to collect data, tools used during analysis, and the challenges you encountered.

A reader can determine whether those were the best methods or tools available. If you overlooked or assumed too much about research, your paper will miss the mark. The secret is to use the best methods and tools, anticipating the strongest outcomes.

• Use samples as a guide

One of the best guides on how to write a methodology for a project is a sample. The samples feature what you are expected to produce at the end of the writing process. You only should be cautious to obtain the samples from credible sources. A poor quality sample will mislead you instead, resulting in poor performance.

• Gather details on your research methodology

How have you executed your research methodology section? Did you use questionnaires or interviews? What analysis tools did you use? The information must be accurately captured in the section. Remember that transcripts of the interviews and the questionnaires used have to be attached at the end of the paper. Know what you used and the steps you took. A reader can test these assertions.

• Use past tense

One of the tricks on how to write a good research methodology chapter is to master the tense. The section comes from research carried out long before and the data analyzed. It is, therefore, only logical to use past tense in your writing.

• The chapter is descriptive

Use descriptive words when crafting the topic. The reader wants to visualize you collecting data and analyzing it. It is written in such a way that if the reader follows your steps, he will arrive at a similar conclusion. Language is a crucial trick on how to write methodology of a project. It explains the fact that research is already complete.

• Revisit your objectives and research questions

The research question and objectives will guide you on how to write methodology of project. All the data you collect and how you analyze it should help you to answer the research questions and meet these objectives. The two must, therefore, be tied to the methodology section.

• Discuss obstacles

Discuss the shortcomings you experienced. Such challenges are a part of every academic project. They show that your research is not conclusive, paving way for improvements in the future.

Plan your methodology section to be accurate and represent the objectives you set before the start. Use samples to guide you through the writing process. You may also hire professional writing assistants to enable you to draft the best chapter.

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• How to Write Your Methods

Ensure understanding, reproducibility and replicability

What should you include in your methods section, and how much detail is appropriate?

Why Methods Matter

The methods section was once the most likely part of a paper to be unfairly abbreviated, overly summarized, or even relegated to hard-to-find sections of a publisher’s website. While some journals may responsibly include more detailed elements of methods in supplementary sections, the movement for increased reproducibility and rigor in science has reinstated the importance of the methods section. Methods are now viewed as a key element in establishing the credibility of the research being reported, alongside the open availability of data and results.

A clear methods section impacts editorial evaluation and readers’ understanding, and is also the backbone of transparency and replicability.

For example, the Reproducibility Project: Cancer Biology project set out in 2013 to replicate experiments from 50 high profile cancer papers, but revised their target to 18 papers once they understood how much methodological detail was not contained in the original papers.

What to include in your methods section

What you include in your methods sections depends on what field you are in and what experiments you are performing. However, the general principle in place at the majority of journals is summarized well by the guidelines at PLOS ONE : “The Materials and Methods section should provide enough detail to allow suitably skilled investigators to fully replicate your study. ” The emphases here are deliberate: the methods should enable readers to understand your paper, and replicate your study. However, there is no need to go into the level of detail that a lay-person would require—the focus is on the reader who is also trained in your field, with the suitable skills and knowledge to attempt a replication.

A constant principle of rigorous science

A methods section that enables other researchers to understand and replicate your results is a constant principle of rigorous, transparent, and Open Science. Aim to be thorough, even if a particular journal doesn’t require the same level of detail . Reproducibility is all of our responsibility. You cannot create any problems by exceeding a minimum standard of information. If a journal still has word-limits—either for the overall article or specific sections—and requires some methodological details to be in a supplemental section, that is OK as long as the extra details are searchable and findable .

Imagine replicating your own work, years in the future

As part of PLOS’ presentation on Reproducibility and Open Publishing (part of UCSF’s Reproducibility Series ) we recommend planning the level of detail in your methods section by imagining you are writing for your future self, replicating your own work. When you consider that you might be at a different institution, with different account logins, applications, resources, and access levels—you can help yourself imagine the level of specificity that you yourself would require to redo the exact experiment. Consider:

• Which details would you need to be reminded of? 
• Which cell line, or antibody, or software, or reagent did you use, and does it have a Research Resource ID (RRID) that you can cite?
• Which version of a questionnaire did you use in your survey? 
• Exactly which visual stimulus did you show participants, and is it publicly available? 
• What participants did you decide to exclude? 
• What process did you adjust, during your work? 

Tip: Be sure to capture any changes to your protocols

You yourself would want to know about any adjustments, if you ever replicate the work, so you can surmise that anyone else would want to as well. Even if a necessary adjustment you made was not ideal, transparency is the key to ensuring this is not regarded as an issue in the future. It is far better to transparently convey any non-optimal methods, or methodological constraints, than to conceal them, which could result in reproducibility or ethical issues downstream.

Visual aids for methods help when reading the whole paper

Consider whether a visual representation of your methods could be appropriate or aid understanding your process. A visual reference readers can easily return to, like a flow-diagram, decision-tree, or checklist, can help readers to better understand the complete article, not just the methods section.

Ethical Considerations

In addition to describing what you did, it is just as important to assure readers that you also followed all relevant ethical guidelines when conducting your research. While ethical standards and reporting guidelines are often presented in a separate section of a paper, ensure that your methods and protocols actually follow these guidelines. Read more about ethics .

Existing standards, checklists, guidelines, partners

While the level of detail contained in a methods section should be guided by the universal principles of rigorous science outlined above, various disciplines, fields, and projects have worked hard to design and develop consistent standards, guidelines, and tools to help with reporting all types of experiment. Below, you’ll find some of the key initiatives. Ensure you read the submission guidelines for the specific journal you are submitting to, in order to discover any further journal- or field-specific policies to follow, or initiatives/tools to utilize.

Tip: Keep your paper moving forward by providing the proper paperwork up front

Be sure to check the journal guidelines and provide the necessary documents with your manuscript submission. Collecting the necessary documentation can greatly slow the first round of peer review, or cause delays when you submit your revision.

Randomized Controlled Trials – CONSORT The Consolidated Standards of Reporting Trials (CONSORT) project covers various initiatives intended to prevent the problems of  inadequate reporting of randomized controlled trials. The primary initiative is an evidence-based minimum set of recommendations for reporting randomized trials known as the CONSORT Statement . 

Systematic Reviews and Meta-Analyses – PRISMA The Preferred Reporting Items for Systematic Reviews and Meta-Analyses ( PRISMA ) is an evidence-based minimum set of items focusing  on the reporting of  reviews evaluating randomized trials and other types of research.

Research using Animals – ARRIVE The Animal Research: Reporting of In Vivo Experiments ( ARRIVE ) guidelines encourage maximizing the information reported in research using animals thereby minimizing unnecessary studies. (Original study and proposal , and updated guidelines , in PLOS Biology .) 

Laboratory Protocols Protocols.io has developed a platform specifically for the sharing and updating of laboratory protocols , which are assigned their own DOI and can be linked from methods sections of papers to enhance reproducibility. Contextualize your protocol and improve discovery with an accompanying Lab Protocol article in PLOS ONE .

Consistent reporting of Materials, Design, and Analysis – the MDAR checklist A cross-publisher group of editors and experts have developed, tested, and rolled out a checklist to help establish and harmonize reporting standards in the Life Sciences . The checklist , which is available for use by authors to compile their methods, and editors/reviewers to check methods, establishes a minimum set of requirements in transparent reporting and is adaptable to any discipline within the Life Sciences, by covering a breadth of potentially relevant methodological items and considerations. If you are in the Life Sciences and writing up your methods section, try working through the MDAR checklist and see whether it helps you include all relevant details into your methods, and whether it reminded you of anything you might have missed otherwise.

Summary Writing tips

The main challenge you may find when writing your methods is keeping it readable AND covering all the details needed for reproducibility and replicability. While this is difficult, do not compromise on rigorous standards for credibility!

• Keep in mind future replicability, alongside understanding and readability.
• Follow checklists, and field- and journal-specific guidelines.
• Consider a commitment to rigorous and transparent science a personal responsibility, and not just adhering to journal guidelines.
• Establish whether there are persistent identifiers for any research resources you use that can be specifically cited in your methods section.
• Deposit your laboratory protocols in Protocols.io, establishing a permanent link to them. You can update your protocols later if you improve on them, as can future scientists who follow your protocols.
• Consider visual aids like flow-diagrams, lists, to help with reading other sections of the paper.
• Be specific about all decisions made during the experiments that someone reproducing your work would need to know.

Don’t

• Summarize or abbreviate methods without giving full details in a discoverable supplemental section.
• Presume you will always be able to remember how you performed the experiments, or have access to private or institutional notebooks and resources.
• Attempt to hide constraints or non-optimal decisions you had to make–transparency is the key to ensuring the credibility of your research.
• How to Write a Great Title
• How to Write an Abstract
• How to Report Statistics
• How to Write Discussions and Conclusions
• How to Edit Your Work

The contents of the Peer Review Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …

There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher…

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How to Write Research Methodology

Last Updated: May 27, 2024 Approved

This article was co-authored by Alexander Ruiz, M.Ed. and by wikiHow staff writer, Jennifer Mueller, JD . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. wikiHow marks an article as reader-approved once it receives enough positive feedback. In this case, several readers have written to tell us that this article was helpful to them, earning it our reader-approved status. This article has been viewed 526,547 times.

The research methodology section of any academic research paper gives you the opportunity to convince your readers that your research is useful and will contribute to your field of study. An effective research methodology is grounded in your overall approach – whether qualitative or quantitative – and adequately describes the methods you used. Justify why you chose those methods over others, then explain how those methods will provide answers to your research questions. [1] X Research source

Describing Your Methods

• In your restatement, include any underlying assumptions that you're making or conditions that you're taking for granted. These assumptions will also inform the research methods you've chosen.
• Generally, state the variables you'll test and the other conditions you're controlling or assuming are equal.

• If you want to research and document measurable social trends, or evaluate the impact of a particular policy on various variables, use a quantitative approach focused on data collection and statistical analysis.
• If you want to evaluate people's views or understanding of a particular issue, choose a more qualitative approach.
• You can also combine the two. For example, you might look primarily at a measurable social trend, but also interview people and get their opinions on how that trend is affecting their lives.

• For example, if you conducted a survey, you would describe the questions included in the survey, where and how the survey was conducted (such as in person, online, over the phone), how many surveys were distributed, and how long your respondents had to complete the survey.
• Include enough detail that your study can be replicated by others in your field, even if they may not get the same results you did. [4] X Research source

• Qualitative research methods typically require more detailed explanation than quantitative methods.
• Basic investigative procedures don't need to be explained in detail. Generally, you can assume that your readers have a general understanding of common research methods that social scientists use, such as surveys or focus groups.

• For example, suppose you conducted a survey and used a couple of other research papers to help construct the questions on your survey. You would mention those as contributing sources.

Justifying Your Choice of Methods

• Describe study participants specifically, and list any inclusion or exclusion criteria you used when forming your group of participants.
• Justify the size of your sample, if applicable, and describe how this affects whether your study can be generalized to larger populations. For example, if you conducted a survey of 30 percent of the student population of a university, you could potentially apply those results to the student body as a whole, but maybe not to students at other universities.

• Reading other research papers is a good way to identify potential problems that commonly arise with various methods. State whether you actually encountered any of these common problems during your research.

• If you encountered any problems as you collected data, explain clearly the steps you took to minimize the effect that problem would have on your results.

• In some cases, this may be as simple as stating that while there were numerous studies using one method, there weren't any using your method, which caused a gap in understanding of the issue.
• For example, there may be multiple papers providing quantitative analysis of a particular social trend. However, none of these papers looked closely at how this trend was affecting the lives of people.

Connecting Your Methods to Your Research Goals

• Depending on your research questions, you may be mixing quantitative and qualitative analysis – just as you could potentially use both approaches. For example, you might do a statistical analysis, and then interpret those statistics through a particular theoretical lens.

• For example, suppose you're researching the effect of college education on family farms in rural America. While you could do interviews of college-educated people who grew up on a family farm, that would not give you a picture of the overall effect. A quantitative approach and statistical analysis would give you a bigger picture.

• If in answering your research questions, your findings have raised other questions that may require further research, state these briefly.
• You can also include here any limitations to your methods, or questions that weren't answered through your research.

• Generalization is more typically used in quantitative research. If you have a well-designed sample, you can statistically apply your results to the larger population your sample belongs to.

Template to Write Research Methodology

Community Q&A

• Organize your methodology section chronologically, starting with how you prepared to conduct your research methods, how you gathered data, and how you analyzed that data. [13] X Research source Thanks Helpful 0 Not Helpful 0
• Write your research methodology section in past tense, unless you're submitting the methodology section before the research described has been carried out. [14] X Research source Thanks Helpful 0 Not Helpful 0
• Discuss your plans in detail with your advisor or supervisor before committing to a particular methodology. They can help identify possible flaws in your study. [15] X Research source Thanks Helpful 0 Not Helpful 0

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• ↑ http://expertjournals.com/how-to-write-a-research-methodology-for-your-academic-article/
• ↑ http://libguides.usc.edu/writingguide/methodology
• ↑ https://www.skillsyouneed.com/learn/dissertation-methodology.html
• ↑ https://uir.unisa.ac.za/bitstream/handle/10500/4245/05Chap%204_Research%20methodology%20and%20design.pdf
• ↑ https://elc.polyu.edu.hk/FYP/html/method.htm

About This Article

To write a research methodology, start with a section that outlines the problems or questions you'll be studying, including your hypotheses or whatever it is you're setting out to prove. Then, briefly explain why you chose to use either a qualitative or quantitative approach for your study. Next, go over when and where you conducted your research and what parameters you used to ensure you were objective. Finally, cite any sources you used to decide on the methodology for your research. To learn how to justify your choice of methods in your research methodology, scroll down! Did this summary help you? Yes No

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Writing a Methodology for your Dissertation | Complete Guide & Steps

What is a methodology.

The methodology is perhaps the most challenging and laborious part of the dissertation . Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the ‘how’ part of your research.

This means that your methodology chapter should clearly state whether you chose to use quantitative or qualitative data collection techniques or a mix of both.

Your research methodology should explain the following:

• What was the purpose of your research?
• What type of research method was used?
• What were the data-collecting methods?
• How did you analyse the data?
• What kind of resources were used in your research?
• Why did you choose these methods?

You will be required to provide justifications as to why you preferred a certain method over the others. If you are trying to figure out exactly how to write methodology or the structure of a methodology for a dissertation, this article will point you in the right direction.

Students must be sure of why they chose a certain research method over another. “I figured out” or “In my opinion” statements will not be an acceptable justification. So, you will need to come up with concrete academic reasons for your selection of research methods.

What are the Standard Contents of a Research Methodology?

The methodology generally acts as a guideline or plan for exactly how you intend to carry out your research. This is especially true for students who must submit their methodology chapter before carrying out the research.

Your methodology should link back to the literature review and clearly state why you chose certain data collection and analysis methods for your research/dissertation project.

The methodology chapter consists of the following:

• Research Design
• Philosophical Approach
• Data Collection Methods
• Research Limitations
• Ethical Considerations (If Any)
• Data Analysis Methods

For those who are submitting their dissertation as a single paper, their methodology should also touch on any modifications they had to make as their work progressed.

However, it is essential to provide academic justifications for all choices made by the researcher.

How to Choose your Dissertation Methodology and Research Design?

The theme of your research methodology chapter should be related to your literature review and research question (s).

You can visit your college or university library to find textbooks and articles that provide information about the commonly employed research methods .

An intensive reading of such books can help you devise your research philosophy and choose the appropriate methods. Any limitations or weaknesses of your chosen research approach should also be explained, as well as the strategies to overcome them.

To research well, you should read well! Read as many research articles (from reputed journals) as you can. Seeing how other researchers use methods in their studies and why will help you justify, in the long run, your own research method(s).

Regardless of the chosen research approach, you will find researchers who either support it or don’t. Use the arguments for and against articulated in the literature to clarify why you decided to choose the selected research design and why the research limitations are irrelevant to your research.

How to Structure your Dissertation Methodology?

The typical structure of the methodology chapter is as follows:

• Research Design And Strategy
• Methods Of Data Collection And Data Analysis
• Ethical Considerations, Reliability , Limitations And Generalisability

In research jargon, generalisability is termed external validity . It means how generalisable your research findings are to other contexts, places, times, people, etc. External validity is expected to be significantly high, especially in quantitative studies.

According to USC-Research Guides (2017) , a research design’s primary function is to enable the researcher to answer the research questions through evidence effectively. Generally, this section will shed light on how you collected your data.

The researcher will have to justify their choice of data collection methods, such as the one that was reviewed, the use of data tools (interviews, phone surveys, questionnaires, observation, online surveys , etc.) and the like.

Moreover, data sampling choice should also be clearly explained with a focus on how you chose the ethnicity, group, profession and age of the participants.

• What type of questions do you intend to ask the respondents?
• How will they help to answer your research questions ?
• How will they help to test the hypothesis of the dissertation?

It is recommended to prepare these questions at the start of your research. You should develop your research problem and questions. This approach can allow the room to change or modify research questions if your data collection methods do not give the desired results.

It’s a good practice to keep referring to your research questions whilst planning or writing the research design section. This will help your reader recall what the research is about; why you have done what you did. Even though this technique is recommended to be applied at the start of every section within a dissertation, it’s especially beneficial in the methodology section.

In short, you will need to make sure that the data you are going to collect relates to the topic you are exploring. The complexity and length of the research design section will vary depending on your academic subject and the scope of your research, but a well-written research design will have the following characteristics:

• It sheds light on alternative research design options and justifies why your chosen design is the best to address the research problem.
• Clearly specifies the research questions that the research aims to address or the hypothesis to validate.
• Explain how the collected data will help address the research problem and discusses your research methodology to collect the data.

Philosophical Approach Behind Writing a Methodology

This will discuss your chosen philosophy to strengthen your research and the research model. Commonly employed philosophies in academia are

• Interpretivism,
• Positivism/Post-Positivism
• Constructivism

There are several other research philosophies that you could adopt.

The choice of philosophy will depend on many factors, including your academic subject and the type and complexity of the research study. Regardless of which philosophy is used, you will be required to make different assumptions about the world.

Once you have chosen your research philosophy, the next step will describe your research context to answer all the questions, including when, where, why, how and what of your research.

Essentially, as a researcher, you will be required to decide whether you will be using a qualitative method, a quantitative method or a mix of both.

Did you know?

Using both qualitative and quantitative methods leads to the use of a mixed-methods approach. This approach also goes by another seldom-used name: eclectic approach.

The process of data collection is different for each method. Typically, you would want to decide whether you will adopt the positivist approach, defining your hypothesis and testing it against reality.

If this is the case, you will be required to take the quantitative approach, collecting numerical data at a large scale (from 30 or more respondents) and testing your hypotheses with this data.

Collecting data from at least 30 respondents/participants ensures reliable statistical analysis . This is especially true for quantitative studies. If the data contains less than 30 responses, it won’t be enough to carry out reliable statistical analyses on such data.

The other option for you would be to base your research on a qualitative approach, which will point you in a direction where you will be investigating broader areas by identifying people’s emotions and perceptions of a subject.

With a qualitative approach, you will have to collect responses from respondents and look at them in all their richness to develop theories about the field you are exploring.

Finally, you can also use a mix of qualitative and quantitative methods (which is becoming increasingly popular among researchers these days). This method is beneficial if you are interested in putting quantitative data into a real-world context or reflecting different perspectives on a subject.

Research philosophy in the ‘research onion.’

Methods of Data Collection and Data Analysis

This section will require you to clearly specify how you gathered the data and briefly discuss the tools you used to analyse it. For example, you may choose to conduct surveys and/or interviews as part of the data collection process.

Similarly, if you used software such as Excel or SPSS to process the data , you will have to justify your software choice. In this section of your methodology chapter , you will also have to explain how you arrived at your findings and how reliable they are.

It is important to note that your readers or supervisor would want to see a correlation between your findings and the hypothesis/research questions you based your study on at the very beginning.

Your supervisor or dissertation research assistant can play a key role in helping you write the methodology chapter according to established research standards. So, keep your supervisor in the loop to get their contributions and recommendations throughout the process.

In this section, you should briefly describe the methods you’ve used to analyse the data you’ve collected.

Qualitative Methods

The qualitative method includes analysing language, images, audio, videos, or any textual data (textual analysis). The following types of methods are used in textual analysis .

Discourse analysis:

Discourse analysis is an essential aspect of studying a language and its uses in day-to-day life.

Content analysis:

It is a method of studying and retrieving meaningful information from documents Thematic analysis:

It’s a method of identifying patterns of themes in the collected information, such as face-to-face interviews, texts, and transcripts.

Example: After collecting the data, it was checked thoroughly to find the missing information. The interviews were transcribed, and textual analysis was conducted. The repetitions of the text, types of colours displayed, and the tone of the speakers was measured.

Quantitative Methods

Quantitative data analysis is used for analysing numerical data. Include the following points:

• The methods of preparing data before analysing it.
• Which statistical test you have used? (one-ended test, two-ended test)
• The type of software you’ve used.

Ethical Considerations, Reliability and Limitations of a Dissertation Methodology

Other important sections of your methodology are:

Ethical Considerations

Always consider how your research will influence other individuals who are beyond the scope of the study. This is especially true for human subjects. As a researcher, you are always expected to make sure that your research and ideas do not harm anyone in any way.Discussion concerning data protection, data handling and data confidentiality will also be included in this brief segment.

• How did you ensure your participants’/respondents’ anonymity and/or confidentiality?
• Did you remove any identifiable markers after conducting the study (post-test stage) so that readers wouldn’t be able to guess the identity of the participant/respondent?
• Was personal information collected according to the purpose of the research? (For instance, asking respondents their age when it wasn’t even relevant in the study). All such ethical considerations need to be mentioned.

Even though there is no established rule to include ethical considerations and limitations within the methodology section, it’s generally recommended to include it in this section, as it makes more sense than including it, say, after the discussions section or within the conclusion.

This is mainly because limitations almost always occur in the methodology stage of research. And ethical considerations need to be taken while sampling, an important aspect of the research methodology.

Here are some examples of ethical issues that you should be mindful of

• Does your research involve participants recalling episodes of suffering and pain?
• Are you trying to find answers to questions considered culturally sensitive either by participants or the readers?
• Are your research, analysis and findings based on a specific location or a group of people?

All such issues should be categorically addressed and a justification provided for your chosen research methodology by highlighting the study’s benefits.

Reliability

Is your research study and findings reliable for other researchers in your field of work? To establish yourself as a reliable researcher, your study should be both authentic and reliable.

Reliability means the extent to which your research can yield similar results if it was replicated in another setting, at a different time, or under different circumstances. If replication occurs and different findings come to light, your (original) research would be deemed unreliable.

Limitations

Good dissertation writers will always acknowledge the limitations of their research study. Limitations in data sampling can decrease your results’ reliability.

A classic example of research limitation is collecting responses from people of a certain age group when you could have targeted a more representative cross-section of the population.Be humble and admit to your own study’s limitations. Doing so makes your referees, editors, supervisors, readers and anyone else involved in the research enterprise aware that you were also aware of the things that limited your study.

Limitations are NOT the same as implications. Sometimes, the two can be confused. Limitations lead to implications, that is, due to a certain factor being absent in the study (limitation) for instance, future research could be carried out in a setting where that factor is present (implication).

Dissertation Methodology Example

At this point, you might have a basic understanding of how to craft a well-written, organised, accurate methodology section for your dissertation. An example might help bring all the aforementioned points home. Here is a dissertation methodology example in pdf to better understand how to write methodology for a dissertation.

Sample Dissertation Methodology

Does your Research Methodology Have the Following?

• Great Research/Sources
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• Accurate Sources

If not, we can help. Our panel of experts makes sure to keep the 3 pillars of Research Methodology strong.

Types of Methodologies

A scientific or lab-based study.

A methodology section for a scientific study will need to elaborate on reproducibility and meticulousness more than anything else. If your methods have obvious flaws, the readers are not going to be impressed. Therefore, it is important to ensure that your chosen research methodology is vigorous in nature.

Any information related to the procedure, setup and equipment should be clearly stated so other researchers in your field of study can work with the same method in the future if needed.

Variables that are likely to falsify your data must be taken into the equation to avoid ambiguities. It is recommended to present a comprehensive strategy to deal with these variables when gathering and analysing the data and drawing conclusions.

Statistical models employed as part of your scientific study will have to be justified, and so your methodology should include details of those statistical models.

Another scholar in the future might use any aspect of your methodology as the starting point for their research. For example, they might base their research on your methodology but analyse the data using other statistical models. Hence, this is something you should be mindful of.

Behavioural or Social Sciences-Based Dissertation

Like scientific or lab-based research, a behavioural and social sciences methodology needs to be built along the same lines. The chosen methodology should demonstrate reproducibility and firmness so other scholars can use your whole dissertation methodology or a part of it based on their research needs.

But there are additional issues that the researcher must take into consideration when working with human subjects. As a starting point, you will need to decide whether your analysis will be based on qualitative data, quantitative data or mixed-method of research, where qualitative data is used to provide contextual background to quantitative data or the other way around.

Here are some questions for you to consider:

• Will you observe the participants undertaking some activity, ask them to fill out a questionnaire, or record their responses during the interviews ?
• Will you base your research on existing evidence and datasets and avoid working with human subjects?
• What are the length, width, and reach of your data? Define its scope.
• Is the data highly explicit to the location or cultural setting you carried your study in, or can it be generalised to other situations and frameworks (reliability)? What are your reasons and justifications?

While you will be required to demonstrate that you have taken care of the above questions, it is equally important to make sure that you address your research study’s ethical issues side-by-side.

Of course, the first step in that regard will be to obtain formal approval for your research design from the ethics bodies (such as IRBs – institutional review boards), but still, there will be many more issues that could trigger a sense of grief and discomfort among some of the readers.

Humanities and Arts Dissertation Project

The rigour and dependability of the methods of research employed remain undisputed and unquestionable for humanities and arts-based dissertations as well. However, the way you convince your readers of your dissertation’s thoroughness is slightly different.

Unlike social science dissertation or a scientific study, the methodology of dissertations in arts and humanities subjects needs to be directly linked to the literature review regardless of how innovative your dissertation’s topic might be.

For example, you could demonstrate the relationship between A and B to discover a new theoretical background or use existing theories in a new framework.

The methodology section of humanities and arts-based dissertations is less complex, so there might be no need to justify it in detail. Students can achieve a seamless transition from the literature review to the analysis section.

However, like with every other type of research methodology, it is important to provide a detailed justification of your chosen methodology and relate it to the research problem.

Failing to do so could leave some readers unconvinced of your theoretical foundations’ suitability, which could potentially jeopardise your whole research.

Make sure that you are paying attention to and giving enough information about the social and historical background of the theoretical frameworks your research methodology is based on. This is especially important if there is an essential difference of opinion between your research and the research done on the subject in the past.

A justification of why opposing schools of thought disagree and why you still went ahead to use aspects of these schools of thought in your methodology should be clearly presented for the readers to understand how they would support your readings.

A Dissertation in Creative Arts

Some degree programs in the arts allow students to undertake a portfolio of artworks or creative writing rather than produce an extended dissertation research project.However, in practice, your creative research will be required to be submitted along with a comprehensive evaluative paper, including background information and an explanation that hypothesises your innovative exercise.

While this might seem like an easy thing to do, critical evaluation of someone’s work is highly complex and notorious in nature. This further reinforces the argument of developing a rigorous methodology and adhering to it.

As a scholar, you will be expected to showcase the ability to critically analyse your methodology and show that you are capable of critically evaluating your own creative work.Such an approach will help you justify your method of creating the work, which will give the readers the impression that your research is grounded in theory.

What to Avoid in Methodology?

All chapters of a dissertation paper are interconnected. This means that there will undoubtedly be some information that would overlap between the different chapters of the dissertation .

For example, some of the text material may seem appropriate to both the literature review and methodology sections; you might even end up moving information from pillar to post between different chapters as you edit and improve your dissertation .

However, make sure that you are not making the following a part of your dissertation methodology, even though it may seem appropriate to fit them in there:

A Long Review of Methods Employed by Previous Researchers

It might seem relevant to include details of the models your dissertation methodology is based on. However, a detailed review of models and precedents used by other scholars and theorists will better fit in the literature review chapter, which you can link back to. This will help the readers understand why you decided to go in favour of or against a certain tactic.

Unnecessary Details Readers Might Not be Interested In

There is absolutely no need to provide extensive details of things like lab equipment and experiment procedures. Having such information in the methodology chapter would discourage some readers who might not be interested in your equipment, setup, lab environment, etc.

Your aim as the author of the document will be to retain the readers’ interest and make the methodology chapter as readable as possible.

While it is important to get all the information relating to how others can reproduce your experiment, it is equally important to ensure your methodology section isn’t unnecessarily long. Again, additional information is better to be placed within the appendices chapter.

The methodology is not the section to provide raw data, even if you are only discussing the data collection process. All such information should be moved to the appendices section.

Even if you feel some finding or numerical data is crucial to be presented within the methodology section, you can, at most, make brief comments about such data. Its discussion, however, is only allowed in the discussions section .

What Makes your Methodology Stand Out?

The factors which can determine if your dissertation methodology is ‘great’ depend on many factors, including the level of study you are currently enrolled in.

Undergraduate dissertations are, of course, less complex and less demanding. At most universities in the UK, undergraduate students are required to exhibit the ability to conduct thorough research as they engage for the first time with theoretical and conceptual frameworks in their chosen research area.

As an undergraduate student, you will be expected to showcase the capacity to reproduce what you have learnt from theorists in your academic subject, transform your leanings into a methodology that would help you address the research problem, and test the research hypothesis, as mentioned in the introduction chapter.

A great undergraduate-level dissertation will incorporate different schools of thought and make a valuable contribution to existing knowledge. However, in general, undergraduate-level dissertations’ focus should be to show thorough desk-based and independent research skills.

Postgraduate dissertation papers are much more compound and challenging because they are expected to make a substantial contribution to existing knowledge.

Depending on the academic institute, some postgraduate students are even required to develop a project published by leading academic journals as an approval of their research skills.

It is important to recognise the importance of a postgraduate dissertation towards building your professional career, especially if your work is considered impactful in your area of study and receives citations from multiple scholars, enhancing your reputation in academic communities.

Even if some academics cite your literature review and conclusion in their own work, it is a well-known fact that your methodology framework will result in many more citations regardless of your academic subject.

Other scholars and researchers in your area of study are likely to give much more value to a well-crafted methodology, especially one they can use as the starting point for their own research.

Of course, they can alter, refine and enhance your methodology in one way or another. They can even apply your methodological framework to a new data set or apply it in a completely new situation that is irrelevant to your work.

Finally, postgraduate dissertations are expected to be highly convincing and demonstrate in-depth engagement. They should be reproducible and show rigour, so the findings and conclusions can be regarded as authentic and reliable among scientific and academic communities.

The methodology is the door to success when it comes to dissertation projects. An original methodology that takes into consideration all aspects of research is likely to have an impact on the field of study.

As a postgraduate student, you should ask yourself, Is my dissertation methodology reproducible and transferable? Producing a methodology that others can reproduce in the future is as important as answering research questions .

The methodology chapter can either make or break the grade of your research/dissertation paper. It’s one of the research elements that leave a memorable impression on your readers. So, it would help if you took your time when it comes to choosing the right design and philosophical approach for your research.

Always use authentic academic sources and discuss your plans in detail with your supervisor if you believe your research design or approach has flaws in it.

Did this article help you learn how to write a dissertation methodology and how to structure a dissertation methodology? Let us know in your comments.

Are you struggling to create a thorough and well-rounded dissertation methodology?

Avail of our dissertation writing services ! At ResearchProspect, we have Master’s and PhD qualified dissertation writers for all academic subjects, so you can be confident that the writer we will assign to your dissertation order will be an expert in your field of study. They can help you with your whole dissertation or just a part of it. You decide how much or how little help you need.

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Home » Dissertation Methodology – Structure, Example and Writing Guide

Dissertation Methodology – Structure, Example and Writing Guide

• Table of Contents

Dissertation Methodology

In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.

Here are the basic elements that are typically included in a dissertation methodology:

• Introduction : This section should explain the importance and goals of your research .
• Research Design : Outline your research approach and why it’s appropriate for your study. You might be conducting an experimental research, a qualitative research, a quantitative research, or a mixed-methods research.
• Data Collection : This section should detail the methods you used to collect your data. Did you use surveys, interviews, observations, etc.? Why did you choose these methods? You should also include who your participants were, how you recruited them, and any ethical considerations.
• Data Analysis : Explain how you intend to analyze the data you collected. This could include statistical analysis, thematic analysis, content analysis, etc., depending on the nature of your study.
• Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your study. For instance, you could discuss measures taken to reduce bias, how you ensured that your measures accurately capture what they were intended to, or how you will handle any limitations in your study.
• Ethical Considerations : This is where you state how you have considered ethical issues related to your research, how you have protected the participants’ rights, and how you have complied with the relevant ethical guidelines.
• Limitations : Acknowledge any limitations of your methodology, including any biases and constraints that might have affected your study.
• Summary : Recap the key points of your methodology chapter, highlighting the overall approach and rationalization of your research.

Types of Dissertation Methodology

The type of methodology you choose for your dissertation will depend on the nature of your research question and the field you’re working in. Here are some of the most common types of methodologies used in dissertations:

Experimental Research

This involves creating an experiment that will test your hypothesis. You’ll need to design an experiment, manipulate variables, collect data, and analyze that data to draw conclusions. This is commonly used in fields like psychology, biology, and physics.

Survey Research

This type of research involves gathering data from a large number of participants using tools like questionnaires or surveys. It can be used to collect a large amount of data and is often used in fields like sociology, marketing, and public health.

Qualitative Research

This type of research is used to explore complex phenomena that can’t be easily quantified. Methods include interviews, focus groups, and observations. This methodology is common in fields like anthropology, sociology, and education.

Quantitative Research

Quantitative research uses numerical data to answer research questions. This can include statistical, mathematical, or computational techniques. It’s common in fields like economics, psychology, and health sciences.

Case Study Research

This type of research involves in-depth investigation of a particular case, such as an individual, group, or event. This methodology is often used in psychology, social sciences, and business.

Mixed Methods Research

This combines qualitative and quantitative research methods in a single study. It’s used to answer more complex research questions and is becoming more popular in fields like social sciences, health sciences, and education.

Action Research

This type of research involves taking action and then reflecting upon the results. This cycle of action-reflection-action continues throughout the study. It’s often used in fields like education and organizational development.

Longitudinal Research

This type of research involves studying the same group of individuals over an extended period of time. This could involve surveys, observations, or experiments. It’s common in fields like psychology, sociology, and medicine.

Ethnographic Research

This type of research involves the in-depth study of people and cultures. Researchers immerse themselves in the culture they’re studying to collect data. This is often used in fields like anthropology and social sciences.

Structure of Dissertation Methodology

The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements:

• Introduction : Briefly introduce your overall approach to the research. Explain what you plan to explore and why it’s important.
• Research Design/Approach : Describe your overall research design. This can be qualitative, quantitative, or mixed methods. Explain the rationale behind your chosen design and why it is suitable for your research questions or hypotheses.
• Data Collection Methods : Detail the methods you used to collect your data. You should include what type of data you collected, how you collected it, and why you chose this method. If relevant, you can also include information about your sample population, such as how many people participated, how they were chosen, and any relevant demographic information.
• Data Analysis Methods : Explain how you plan to analyze your collected data. This will depend on the nature of your data. For example, if you collected quantitative data, you might discuss statistical analysis techniques. If you collected qualitative data, you might discuss coding strategies, thematic analysis, or narrative analysis.
• Reliability and Validity : Discuss how you’ve ensured the reliability and validity of your research. This might include steps you took to reduce bias or increase the accuracy of your measurements.
• Ethical Considerations : If relevant, discuss any ethical issues associated with your research. This might include how you obtained informed consent from participants, how you ensured participants’ privacy and confidentiality, or any potential conflicts of interest.
• Limitations : Acknowledge any limitations in your research methodology. This could include potential sources of bias, difficulties with data collection, or limitations in your analysis methods.
• Summary/Conclusion : Briefly summarize the key points of your methodology, emphasizing how it helps answer your research questions or hypotheses.

How to Write Dissertation Methodology

Writing a dissertation methodology requires you to be clear and precise about the way you’ve carried out your research. It’s an opportunity to convince your readers of the appropriateness and reliability of your approach to your research question. Here is a basic guideline on how to write your methodology section:

1. Introduction

Start your methodology section by restating your research question(s) or objective(s). This ensures your methodology directly ties into the aim of your research.

2. Approach

Identify your overall approach: qualitative, quantitative, or mixed methods. Explain why you have chosen this approach.

• Qualitative methods are typically used for exploratory research and involve collecting non-numerical data. This might involve interviews, observations, or analysis of texts.
• Quantitative methods are used for research that relies on numerical data. This might involve surveys, experiments, or statistical analysis.
• Mixed methods use a combination of both qualitative and quantitative research methods.

3. Research Design

Describe the overall design of your research. This could involve explaining the type of study (e.g., case study, ethnography, experimental research, etc.), how you’ve defined and measured your variables, and any control measures you’ve implemented.

4. Data Collection

Explain in detail how you collected your data.

• If you’ve used qualitative methods, you might detail how you selected participants for interviews or focus groups, how you conducted observations, or how you analyzed existing texts.
• If you’ve used quantitative methods, you might detail how you designed your survey or experiment, how you collected responses, and how you ensured your data is reliable and valid.

5. Data Analysis

Describe how you analyzed your data.

• If you’re doing qualitative research, this might involve thematic analysis, discourse analysis, or grounded theory.
• If you’re doing quantitative research, you might be conducting statistical tests, regression analysis, or factor analysis.

Discuss any ethical issues related to your research. This might involve explaining how you obtained informed consent, how you’re protecting participants’ privacy, or how you’re managing any potential harms to participants.

7. Reliability and Validity

Discuss the steps you’ve taken to ensure the reliability and validity of your data.

• Reliability refers to the consistency of your measurements, and you might discuss how you’ve piloted your instruments or used standardized measures.
• Validity refers to the accuracy of your measurements, and you might discuss how you’ve ensured your measures reflect the concepts they’re supposed to measure.

8. Limitations

Every study has its limitations. Discuss the potential weaknesses of your chosen methods and explain any obstacles you faced in your research.

9. Conclusion

Summarize the key points of your methodology, emphasizing how it helps to address your research question or objective.

Example of Dissertation Methodology

An Example of Dissertation Methodology is as follows:

Chapter 3: Methodology

• Introduction

This chapter details the methodology adopted in this research. The study aimed to explore the relationship between stress and productivity in the workplace. A mixed-methods research design was used to collect and analyze data.

Research Design

This study adopted a mixed-methods approach, combining quantitative surveys with qualitative interviews to provide a comprehensive understanding of the research problem. The rationale for this approach is that while quantitative data can provide a broad overview of the relationships between variables, qualitative data can provide deeper insights into the nuances of these relationships.

Data Collection Methods

Quantitative Data Collection : An online self-report questionnaire was used to collect data from participants. The questionnaire consisted of two standardized scales: the Perceived Stress Scale (PSS) to measure stress levels and the Individual Work Productivity Questionnaire (IWPQ) to measure productivity. The sample consisted of 200 office workers randomly selected from various companies in the city.

Qualitative Data Collection : Semi-structured interviews were conducted with 20 participants chosen from the initial sample. The interview guide included questions about participants’ experiences with stress and how they perceived its impact on their productivity.

Data Analysis Methods

Quantitative Data Analysis : Descriptive and inferential statistics were used to analyze the survey data. Pearson’s correlation was used to examine the relationship between stress and productivity.

Qualitative Data Analysis : Interviews were transcribed and subjected to thematic analysis using NVivo software. This process allowed for identifying and analyzing patterns and themes regarding the impact of stress on productivity.

Reliability and Validity

To ensure reliability and validity, standardized measures with good psychometric properties were used. In qualitative data analysis, triangulation was employed by having two researchers independently analyze the data and then compare findings.

Ethical Considerations

All participants provided informed consent prior to their involvement in the study. They were informed about the purpose of the study, their rights as participants, and the confidentiality of their responses.

Limitations

The main limitation of this study is its reliance on self-report measures, which can be subject to biases such as social desirability bias. Moreover, the sample was drawn from a single city, which may limit the generalizability of the findings.

Where to Write Dissertation Methodology

In a dissertation or thesis, the Methodology section usually follows the Literature Review. This placement allows the Methodology to build upon the theoretical framework and existing research outlined in the Literature Review, and precedes the Results or Findings section. Here’s a basic outline of how most dissertations are structured:

• Acknowledgements
• Literature Review (or it may be interspersed throughout the dissertation)
• Methodology
• Results/Findings
• References/Bibliography

In the Methodology chapter, you will discuss the research design, data collection methods, data analysis methods, and any ethical considerations pertaining to your study. This allows your readers to understand how your research was conducted and how you arrived at your results.

Advantages of Dissertation Methodology

The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation:

• Clarifies Your Research Approach : The methodology section explains how you plan to tackle your research question, providing a clear plan for data collection and analysis.
• Enables Replication : A detailed methodology allows other researchers to replicate your study. Replication is an important aspect of scientific research because it provides validation of the study’s results.
• Demonstrates Rigor : A well-written methodology shows that you’ve thought critically about your research methods and have chosen the most appropriate ones for your research question. This adds credibility to your study.
• Enhances Transparency : Detailing your methods allows readers to understand the steps you took in your research. This increases the transparency of your study and allows readers to evaluate potential biases or limitations.
• Helps in Addressing Research Limitations : In your methodology section, you can acknowledge and explain the limitations of your research. This is important as it shows you understand that no research method is perfect and there are always potential weaknesses.
• Facilitates Peer Review : A detailed methodology helps peer reviewers assess the soundness of your research design. This is an important part of the publication process if you aim to publish your dissertation in a peer-reviewed journal.
• Establishes the Validity and Reliability : Your methodology section should also include a discussion of the steps you took to ensure the validity and reliability of your measurements, which is crucial for establishing the overall quality of your research.

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Muhammad Hassan

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How to Write a Project Proposal (Examples & Template Included)

Table of Contents

Types of project proposals, project proposal vs. project charter, project proposal vs. business case, project proposal vs. project plan, project proposal outline, how to write a project proposal, project proposal example, project proposal tips, what is a project proposal.

A project proposal is a project management document that’s used to define the objectives and requirements of a project. It helps organizations and external project stakeholders agree on an initial project planning framework.

The main purpose of a project proposal is to get buy-in from decision-makers. That’s why a project proposal outlines your project’s core value proposition; it sells value to both internal and external project stakeholders. The intent of the proposal is to grab the attention of stakeholders and project sponsors. Then, the next step is getting them excited about the project summary.

Getting into the heads of the audience for which you’re writing the project proposal is vital: you need to think like the project’s stakeholders to deliver a proposal that meets their needs.

We’ve created a free project proposal template for Word to help structure documents, so you don’t have to remember the process each time.

Get your free

Project Proposal Template

Use this free Project Proposal Template for Word to manage your projects better.

In terms of types of project proposals, you can have one that’s formally solicited, informally solicited or a combination. There can also be renewal and supplemental proposals. Here’s a brief description of each of them.

• Solicited project proposal: This is sent as a response to a request for proposal (RFP) . Here, you’ll need to adhere to the RFP guidelines of the project owner.
• Unsolicited project proposal: You can send project proposals without having received a request for a proposal. This can happen in open bids for construction projects , where a project owner receives unsolicited project proposals from many contractors.
• Informal project proposal: This type of project proposal is created when a client asks for an informal proposal without an RFP.
• Renewal project proposal: You can use a renewal project proposal when you’re reaching out to past customers. The advantage is that you can highlight past positive results and future benefits.
• Continuation project proposal: A continuation project proposal is sent to investors and stakeholders to communicate project progress.
• Supplemental project proposal: This proposal is sent to investors to ask for additional resources during the project execution phase.

All the elements in the above project proposal outline are present in our template. This free project proposal template for Word will provide you with everything you need to write an excellent project proposal. It will help you with the executive summary, project process, deliverables, costs—even terms and conditions. Download your free template today.

A project proposal is a detailed project document that’s used to convince the project sponsor that the project being proposed is worth the time, money and effort to deliver it. This is done by showing how the project will address a business problem or opportunity. It also outlines the work that will be done and how it will be done.

A project charter can seem like the same thing as a project proposal as it also defines the project in a document. It identifies the project objectives, scope, goals, stakeholders and team. But it’s done after the project has been agreed upon by all stakeholders and the project has been accepted. The project charter authorizes the project and documents its requirements to meet stakeholders’ needs.

A business case is used to explain why the proposed project is justified. It shows that the project is worth the investment of time and money. It’s more commonly used in larger companies in the decision-making process when prioritizing one project over another.

The business case answers the questions: what is the project, why should it be taken up, who will be involved and how much will it cost? It’s therefore related to a project proposal, but the project proposal comes before the business case and is usually part of the larger proposal.

Again, the project proposal and the project plan in this case are very similar documents. It’s understandable that there would be some confusion between these two project terms. They both show how the project will be run and what the results will be. However, they’re not the same.

The project proposal is a document that aims to get a project approved and funded. It’s used to convince stakeholders of the viability of the project and their investment. The project plan, on the other hand, is made during the planning phase of the project, once it’s been approved. It’s a detailed outline of how the project will be implemented, including schedule, budget, resources and more.

There are several key operational and strategic questions to consider, including:

• Executive summary: This is the elevator pitch that outlines the project being proposed and why it makes business sense. While it also touches on the information that’ll follow in the project proposal, the executive summary should be brief and to the point.
• Project background: This is another short part of the proposal, usually only one page, which explains the problem you’ll solve or the opportunity you’re taking advantage of with the proposed project. Also, provide a short history of the business to put the company in context to the project and why it’s a good fit.
• Project vision & success criteria: State the goal of the project and how it aligns with the goals of the company. Be specific. Also, note the metrics used to measure the success of the project.
• Potential risks and mitigation strategies: There are always risks. Detail them here and what strategies you’ll employ to mitigate any negative impact as well as take advantage of any positive risk.
• Project scope & deliverables: Define the project scope, which is all the work that has to be done and how it will be done. Also, detail the various deliverables that the project will have.
• Set SMART goals: When setting goals, be SMART. That’s an acronym for specific, measurable, achievable, relevant and time-bound. All your goals would be defined by those five things.
• Project approach: Define the approach you’ll use for the contract. There are several different types of contracts used in construction , for example, such as lump sum, cost plus, time and materials, etc. This is also a good place to describe the delivery method you’ll use.
• Expected benefits: Outline the benefits that will come from the successful completion of the project.
• Project resource requirements: List the resources, such as labor, materials, equipment, etc., that you’ll need to execute the project if approved.
• Project costs & budget: Detail all the costs, including resources, that’ll be required to complete the project and set up a budget to show how those costs will be spent over the course of the project.
• Project timeline: Lay out the project timeline , which shows the project from start to finish, including the duration of each phase and the tasks within it, milestones, etc.

In addition to these elements, it’s advisable to use a cover letter, which is a one-page document that helps you introduce your project proposal and grab the attention of potential clients and stakeholders.

To make the best proposal possible, you’ll want to be thorough and hit on all the points we’ve listed above. Here’s a step-by-step guide to writing a persuasive priority proposal.

1. Write an Executive Summary

The executive summary provides a quick overview of the main elements of your project proposal, such as your project background, project objectives and project deliverables, among other things. The goal is to capture the attention of your audience and get them excited about the project you’re proposing. It’s essentially the “elevator pitch” for the project life cycle. It should be short and to the point.

The executive summary should be descriptive and paint a picture of what project success looks like for the client. Most importantly, it should motivate the project client; after all, the goal is getting them to sign on the dotted line to get the project moving!

2. Provide a Project Background

The project background is a one-page section of your project proposal that explains the problem that your project will solve. You should explain when this issue started, its current state and how your project will be the ideal solution.

• Historic data: The history section outlines previously successful projects and those that could have run more smoothly. By doing so, this section establishes precedents and how the next project can be more effective using information from previous projects.
• Solution: The solution section addresses how your project will solve the client’s problem. Accordingly, this section includes any project management techniques , skills and procedures your team will use to work efficiently.

3. Establish a Project Vision & Success Criteria

You’ll need to define your project vision. This is best done with a vision statement, which acts as the north star for your project. It’s not specific as much as it’s a way to describe the impact your company plans to make with the project.

It’s also important to set up success criteria to show that the project is in fact doing what it’s proposed to do. Three obvious project success criteria are the triple constraint of cost, scope and time. But you’ll need to set up a way to measure these metrics and respond to them if they’re not meeting your plan.

4. Identify Potential Risks and Mitigation Strategies

To reduce the impact of risk in your project, you need to identify what those risks might be and develop a plan to mitigate them . List all the risks, prioritize them, describe what you’ll do to mitigate or take advantage of them and who on the team is responsible for keeping an eye out for them and resolving them.

5. Define Your Project Scope and Project Deliverables

The project scope refers to all the work that’ll be executed. It defines the work items, work packages and deliverables that’ll be delivered during the execution phase of your project life cycle. It’s important to use a work breakdown structure (WBS) to define your tasks and subtasks and prioritize them.

6. Set SMART Goals for Your Project Proposal

The best mindset when developing goals and objectives for your project proposal is to use the SMART system :

• Specific – Make sure your goals and objectives are clear, concise and specific to the task at hand.
• Measurable – Ensure your goals and objectives are measurable so it’s obvious to see when things are on track and going well, and conversely, when things are off track and issues need to be addressed. Measurable goals make it easy to develop the milestones you’ll use to track the progress of the project and identify a reasonable date for completion and/or closure.
• Attainable – It’s important every project has a “reach” goal. Hitting this goal would mean an outstanding project that extends above and beyond expectations. However, it’s important that the project’s core goal is attainable, so morale stays high and the job gets done with time and resources to spare.
• Relevant – Make sure all of your goals are directly relevant to the project and address the scope within which you’re working.
• Time-Based – Timelines and specific dates should be at the core of all goals and objectives. This helps keep the project on track and ensures all project team members can manage the work that’s ahead of them.

7. Explain What’s Your Project Approach

Your project approach defines the project management methodology , tools and governance for your project. In simple terms, it allows project managers to explain to stakeholders how the project will be planned, executed and controlled successfully.

8. Outline The Expected Benefits of Your Project Proposal

If you want to convince internal stakeholders and external investors, you’ll need to show them the financial benefits that your project could bring to their organization. You can use cost-benefit analysis and projected financial statements to demonstrate why your project is profitable.

9. Identify Project Resource Requirements

Project resources are critical for the execution of your project. The project proposal briefly describes what resources are needed and how they’ll be used. Later, during the planning phase, you’ll need to create a resource management plan that’ll be an important element of your project plan. Project requirements are the items, materials and resources needed for the project. This section should cover both internal and external needs.

10. Estimate Project Costs and Project Budget

All the resources that you’ll need for your project have a price tag. That’s why you need to estimate those costs and create a project budget . The project budget needs to cover all your project expenses, and as a project manager, you’ll need to make sure that you adhere to the budget.

11. Define a Project Timeline

Once you’ve defined your project scope, you’ll need to estimate the duration of each task to create a project timeline. Later during the project planning phase , you’ll need to create a schedule baseline, which estimates the total length of your project. Once the project starts, you’ll compare your actual project schedule to the schedule baseline to monitor progress.

Now let’s explore some project proposal examples to get a better understanding of how a project proposal would work in the real world. For this example, let’s imagine a city that’s about to build a rapid transit system. The city government has the funds to invest but lacks the technical expertise and resources that are needed to build it, so it issues a request for proposal (RFP) document and sends it to potential builders.

Then, the construction companies that are interested in executing this rapid transit project will prepare a project proposal for the city government. Here are some of the key elements they should include.

• Project background: The construction firm will provide an explanation of the challenges that the project presents from a technical perspective, along with historical data from similar projects that have been completed successfully by the company.
• Project vision & success criteria: Write a vision statement and explain how you’ll track the triple constraint to ensure the successful delivery of the project.
• Potential risks and mitigation strategies: List all risks and how they’ll be mitigated, and be sure to prioritize them.
• Project scope & deliverables: The work that’ll be done is outlined in the scope, including all the deliverables that’ll be completed over the life cycle of the project.
• Set SMART goals: Use the SMART technique to define your project goals by whether they’re specific, measurable, achievable, relevant and time-bound.
• Project approach: Define the methodology that the project manager will employ to manage the project. Also, figure out what type of contract will be used to define the project.
• Expected benefits: Show how the project will deliver advantages to the company and define what these benefits are in a quantifiable way.
• Project resource requirements: List all the resources, such as labor, materials, equipment, etc., needed to execute the project.
• Project costs & budget: Estimate the cost of the project and lay that out in a project budget that covers everything from start to finish.
• Project timeline: Outline the project schedule, including phases, milestones and task duration on a visual timeline.

Whatever project proposal you’re working on, there are a few tips that apply as best practices for all. While above we suggested a project proposal template that would have a table of contents, meaning it would be many pages long, the best-case scenario is keeping the proposal to one or two pages max. Remember, you’re trying to win over stakeholders, not bore them.

Speaking of project stakeholders , do the research. You want to address the right ones. There’s no point in doing all the work necessary to write a great proposal only to have it directed to the wrong target audience. Whoever is going to read it, though, should be able to comprehend the proposal. Keep the language simple and direct.

When it comes to writing, get a professional. Even a business document like a project proposal, business case or executive summary will suffer if it’s poorly constructed or has typos. If you don’t want to hire a professional business writer, make sure you get someone on your project team to copy, edit and proof the document. The more eyes on it, the less likely mistakes will make it to the final edition.

While you want to keep the proposal short and sweet, it helps to sweeten the pot by adding customer testimonials to the attachments. Nothing sells a project plan better than a customer base looking for your product or service.

ProjectManager & Project Proposals

ProjectManager allows you to plan proposals within our software. You can update tasks for the project proposal to signify where things stand and what’s left to be done. The columns allow you to organize your proposal by section, creating a work breakdown structure (WBS) of sorts.

When building a project proposal, it’s vital to remember your target audience. Your audience includes those who are excited about the project, and see completion as a gain for their organization. Conversely, others in your audience will see the project as a pain and something to which they aren’t looking forward. To keep both parties satisfied, it’s essential to keep language factual and concise.

Our online kanban boards help you think through that language and collaborate on it effectively with other team members, if necessary. Each card shows the percentage completed so everyone in the project management team is aware of the work done and what’s left to be done.

As you can see from the kanban board above, work has begun on tasks such as product documentation and design. Tasks regarding stakeholder feedback, ideation, market research and more have been completed, and there’s a good start on the engineering drawings, 3D rendering, supply chain sourcing and translation services.

A PDF is then attached to the card, and everyone added to the task receives an email notifying them of the change. This same process can be used throughout the life-cycle of the project to keep the team updated, collaborating, and producing a first-class project proposal. In addition to kanban boards, you can also use other project management tools such as Gantt charts , project dashboards, task lists and project calendars to plan, schedule and track your projects.

Project proposals are just the first step in the project planning process. Once your project is approved, you’ll have to solidify the plan, allocate and manage resources, monitor the project, and finally hand in your deliverables. This process requires a flexible, dynamic and robust project management software package. ProjectManager is online project management software that helps all your team members collaborate and manage this process in real-time. Try our award-winning software with this free 30-day trial .

Deliver your projects on time and on budget

Start planning your projects.

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HOW TO WRITE CHAPTER THREE OF YOUR RESEARCH PROJECT (RESEARCH METHODOLOGY) | ResearchWap Blog

• Posted: Friday, 17 April 2020
• By: ResearchWap Admin

How To Write Chapter Three Of Your Research Project (Research Methodology)

Methodology In Research Paper

Chapter three of the research project or the research methodology is another significant part of the research project writing. In developing the chapter three of the research project, you state the purpose of research, research method you wish to adopt, the instruments to be used, where you will collect your data, types of data collection, and how you collected it.

This chapter explains the different methods to be used in the research project. Here you mention the procedures and strategies you will employ in the study such as research design, study design in research, research area (area of the study), the population of the study, etc.

You also tell the reader your research design methods, why you chose a particular method, method of analysis, how you planned to analyze your data. Your methodology should be written in a simple language such that other researchers can follow the method and arrive at the same conclusion or findings.

You can choose a survey design when you want to survey a particular location or behavior by administering instruments such as structured questionnaires, interviews, or experimental; if you intend manipulating some variables.

The purpose of chapter three (research methodology) is to give an experienced investigator enough information to replicate the study. Some supervisors do not understand this and require students to write what is in effect, a textbook.

A research design is used to structure the research and to show how all of the major parts of the research project, including the sample, measures, and methods of assignment, work together to address the central research questions in the study. The chapter three should begin with a paragraph reiterating the purpose of research.

It is very important that before choosing design methods, try and ask yourself the following questions:

Will I generate enough information that will help me to solve the research problem by adopting this method?

Method vs Methodology

I think the most appropriate in methods versus methodology is to think in terms of their inter-connectedness and relationship between both. You should not beging thinking so much about research methods without thinking of developing a research methodology.

Metodologia or methodology is the consideration of your research objectives and the most effective method  and approach to meet those objectives. That is to say that methodology in research paper is the first step in planning a research project work. 

Design Methodology: Methodological Approach                

Example of methodology in research paper, you are attempting to identify the influence of personality on a road accident, you may wish to look at different personality types, you may also look at accident records from the FRSC, you may also wish to look at the personality of drivers that are accident victims, once you adopt this method, you are already doing a survey, and that becomes your  metodologia or methodology .

Your methodology should aim to provide you with the information to allow you to come to some conclusions about the personalities that are susceptible to a road accident or those personality types that are likely to have a road accident. The following subjects may or may not be in the order required by a particular institution of higher education, but all of the subjects constitute a defensible in metodologia or methodology chapter.

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Methodology

A  methodology  is the rationale for the research approach, and the lens through which the analysis occurs. Said another way, a methodology describes the “general research strategy that outlines the way in which research is to be undertaken” The methodology should impact which method(s) for a research endeavor are selected in order to generate the compelling data.

Example Of Methodology In Research Paper :

• Phenomenology: describes the “lived experience” of a particular phenomenon
• Ethnography: explores the social world or culture, shared beliefs and behaviors
• Participatory: views the participants as active researchers
• Ethno methodology: examines how people use dialogue and body language to construct a world view
• Grounding theory*: assumes a blank slate and uses an inductive approach to develop a new theory

A  method  is simply the tool used to answer your research questions — how, in short, you will go about collecting your data.

Methods Section Of Research Paper Example :

• Contextual inquiry
• Usability study
• Diary study

If you are choosing among these, you might say “what method should I use?” and settle on one or more methods to answer your research question.

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Research Design Definition: WRITING A RESEARCH DESIGN

A qualitative study does not have variables. A scientific study has variables, which are sometimes mentioned in Chapter 1 and defined in more depth in Chapter 3. Spell out the independent and dependent, variables. An unfortunate trend in some institutions is to repeat the research questions and/or hypotheses in both Chapter 1 and Chapter 3. Sometimes an operational statement of the research hypotheses in the null form is given to set the stage for later statistical inferences. In a quantitative study, state the level of significance that will be used to accept or reject the hypotheses.

Pilot Study

In a quantitative study, a survey instrument that the researcher designed needs a pilot study to validate the effectiveness of the instrument, and the value of the questions to elicit the right information to answer the primary research questions in. In a scientific study, a pilot study may precede the main observation to correct any problems with the instrumentation or other elements in the data collection technique. Describe the pilot study as it relates to the research design, development of the instrument, data collection procedures, or characteristics of the sample.

Instruments

In a research study, the instrument used to collect data may be created by the researcher or based on an existing instrument. If the instrument is the researcher created, the process used to select the questions should be described and justified. If an existing instrument is used, the background of the instrument is described including who originated it, and what measures were used to validate it.

If a Likert scale is used, the scale should be described. If the study involves interviews, an interview protocol should be developed that will result in a consistent process of data collection across all interviews. Two types of questions are found in an interview protocol: the primary research questions, which are not asked of the participants, and the interview questions that are based on the primary research questions and are asked of the participants.

In a qualitative study, this is the section where most of the appendices are itemized, starting with letters of permission to conduct the study and letters of invitation to participate with the attached consent forms. Sample: this has to do with the number of your participants or subjects as the case may be. Analysis (how are you planning to analyze the results?)

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EFFECTIVE GUIDE AND METHODOLOGY SAMPLES

This chapter deals effectively with the research methods to be adopted in conducting the research, and it is organized under the following sub-headings:

• Research Design
• Area of Study

The population of the Study

• Sample and Sampling Techniques
• Instruments for Data Collection

The validity of the Instrument

Reliability of the Instrument

• Administration of the instruments
• Scoring the instruments

Method of Data Collection

Method of Data Analysis

Research Design:

This has to do with the structure of the research instrument to be used in collecting data. It could be in sections depending on different variables that form the construct for the entire topic of the research problems. A reliable instrument with a wrong research design will adversely affect the reliability and generalization of the research. The choice of design suitable for each research is determined by many factors among which are: kind of research, research hypothesis, the scope of the research, and the sensitive nature of the research.

Area of Study:

Research Area; this has to do with the geographical environment of the study area where the places are located, the historical background when necessary and commercial activities of that geographical area. For example, the area of the study is Ebonyi State University. At the creation of Ebonyi State in 1996, the Abakaliki campus of the then ESUT was upgraded to Ebonyi State University College by Edict no. 5 of Ebonyi State, 1998 still affiliated to ESUT with Prof. Fidelis Ogah, former ESUT Deputy Vice-Chancellor as the first Rector. In 1997, the Faculty of Applied and Natural Sciences with 8 departments was added to the fledging University, and later in 1998 when the ESUT Pre-Science Programme was relocated to Nsukka, the EBSUC Pre-Degree School commenced lectures in both Science and Arts in replacement of the former. This study focused on the students of the Business Education department in Ebonyi state university.

The population is regarded in research work as the type of people and the group of people under investigation. It has to be specific or specified. For example educational study teachers in Lagos state. Once the population is chosen, the next thing is to choose the samples from the population.

According to Uma (2007), the population is referred to as the totality of items or object which the researcher is interested in. It can also be the total number of people in an area of study. Hence, the population of this study comprised of all the students in the department of Business Education, Ebonyi State University which is made up of year one to four totaling 482. The actual number for the study was ascertained using Yaro-Yamane's formula which stated thus:

n   =        N

N is the Population

1 is constant

e is the error margin

Then, n   =         482

1+482(0.05)2

= 214.35 approximately 214

Sample and sampling technique:

It may not be possible to reach out to the number of people that form the entire population for the study to either interview, observe, or serve them with copies of the questionnaire. To be realistic, the sample should be up to 20% of the total population. Two sampling techniques are popular among all the sampling techniques. These are random and stratified random sampling techniques. (A). in Random Sampling, the writers select any specific number from a place like a school, village, etc. (B). In Stratified Random Sampling, one has to indicate a specific number from a stratum which could be a group of people according to age, qualification, etc. or different groups from different locations and different considerations attached.

Instruments for Data Collection:

This is a device or different devices used in collecting data. Example: interview, questionnaire, checklist, etc. instrument is prepared in sets or subsections, each set should be an entity thus asking questions about a particular variable to be tested after collecting data. The type of instrument used will determine the responses expected. All questions should be well set so as to determine the reliability of the instrument.

This has to do with different measures in order to determine the validity and reliability of the research instrument. For example, presenting the drafted questionnaire to the supervisor for scrutiny. Giving the questionnaire to the supervisor for useful comments and corrections would help to validate the instrument.

The test-retest reliability method is one of the simplest ways of testing the stability and reliability of an instrument over time. The test-retest approach was adopted by the researcher in establishing the reliability of the instrument. In doing this 25 copies of the questionnaire were administered on twenty-five selected respondents. After two weeks another 25 copies of the same questionnaire were re-administered on the same group. Their responses on the two occasions were correlated using Parsons Product Moment Correlation. A co-efficient of 0.81 was gotten and this was high enough to consider the instrument reliable.

Administration of the instruments:

Here, the writer states whether he or she administers the test personally or through an assistant. He also indicates the rate of return of the copies of the questionnaire administered.

Scoring the instruments:

Here items on the questionnaire or any other device used must be assigned numerical values. For example, 4 points to strongly agree, 3 points to agree, 2 points to disagree, and 1 point to strongly disagree.

Table of Analysis

The researcher collected data using the questionnaire. Copies of the questionnaire were administered by the researcher on the respondents. All the respondents were expected to give maximum co-operation, as the information on the questionnaire is all on things that revolve around their study. Hence, enough time was taken to explain how to tick or indicate their opinion on the items stated in the research questionnaire.

In this study, the mean was used to analyze the data collected. A four (4) point Likert scale was used to analyze each of the questionnaire items.

The weighing was as follows:

VGE—————- Very Great Extent (4 points)

GE—————– Great Extent (3 points)

LE—————– Little Extent (2 points)

VLE—————- Very Little Extent (1 point)

SA—————– Strongly Agree (4 points)

A——————- Agree (3 points)

D—————— Disagree (2 points)

SD—————- Strongly Disagree (1 point)

The mean of the scale will then be determined by summing up the points and dividing their number as follows with the formula:

Where; x= mean

f= frequency

X= Nominal value of the option

∑= summation

N= Total Number

Therefore, the mean of the scale is 2.5.

This means that any item statement with a mean of 2.50 and above is considered agreed by the respondents and any item statement below 2.5 is considered disagreed.

EDITORS SOURCE: How To Write Chapter Three Of Your Research Project (Research Methodology)

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How to write an effective project plan in 6 simple steps

Contributing writer

If you’re a Type A personality, project planning might sound like music to your ears. Setting deadlines, organizing tasks, and creating order out of chaos — what’s not to love?

The reality is that project planning isn’t for everyone. In one survey by Association for Project Management, 76% of project professionals said their main project was a source of stress . Poor planning, unclear responsibilities, and overallocation are often the culprits behind the stress. 

An effective project plan helps teams stay within budget, scope, and schedule, while delivering quality work. In short, it gets you to the finish line without the stress.  

What is a project plan?

A project plan, also known as a work plan, is a blueprint of your project lifecycle. It’s like a roadmap — it clearly outlines how to get from where you are now (the beginning of the project) to where you want to go (the successful completion of the project). 

“A project plan is an action plan outlining how…[to] accomplish project goals,” says Jami Yazdani , certified Project Management Professional (PMP), project coach, project management consultant, and founder of Yazdani Consulting and Facilitation . 

A comprehensive project plan includes the project schedule, project scope, due dates, and deliverables. Writing a good project plan is key for any new, complex project in the pipeline.

Why Are Project Plans Important?

Project plans allow you to visualize your entire project, from beginning to end—and develop a clear strategy to get from point A to point B. Project plans steer stakeholders in the right direction and keep team members accountable with a common baseline.  

Project plans help you stay agile

Projects are bound by what is traditionally called the “iron triangle” of project management . It means that project managers have to work within the three constraints of scope, resources (project budget and teams), and schedule. You cannot make changes to one without impacting the other two.    

Modern-day project management has shifted to a more agile approach, with a focus on quality. This means that resources and schedules remain unchanged but a fixed number of iterations (flexible scope) helps teams deliver better quality and more value. 

A project plan puts this “agile triangle” in place by mapping out resources, schedules, and the number of iterations — sprints if you’re using a Scrum framework and work in progress (WIP) limits if you’re using the Kanban methodology . 

As Yazdani points out, “Project plans help us strategize a path to project success, allowing us to consider the factors that will impact our project, from stakeholders to budget to schedule delays, and plan how to maximize or mitigate these factors.” 

Project plans provide complete visibility

A project plan, when created with a comprehensive project management software , gives you 360-degree visibility throughout the project lifecycle. 

As a project manager, you need a single source of truth on team members and their project tasks, project scope, project objectives, and project timelines. A detailed project plan gives you this visibility and helps teams stay on track.

Project plans also help to get everyone involved on the same page, setting clear expectations around what needs to be accomplished, when, and by who. 

“Project plans create a framework for measuring project progress and success,” says Yazdani. “Project plans set clear expectations for…stakeholders by outlining exactly what…will [be accomplished] and when it will be delivered.”

Project plans boost engagement and productivity

A well-written project plan clarifies how each individual team member’s contributions play into the larger scope of the project and align with company goals. When employees see how their work directly impacts organizational growth, it generates buy-in and drives engagement , which is critical to a project’s success. 

“Project plans provide…teams with purpose and direction,” says Yazdani. “Transparent project plans show team members how their individual tasks and responsibilities contribute to the overall success of the project, encouraging engagement and collaboration.”

How To Write A Project Plan in 6 Steps

Writing a project plan requires, well, planning. Ideally, the seeds for a project plan need to be sowed before internal project sign-off begins. Before that sign-off, conduct capacity planning to estimate the resources you will need and if they’re available for the duration of the project. After all, you want to set your teams up for success with realistic end dates, buffer time to recharge or catch up in case of unexpected delays, and deliver quality work without experiencing burnout .

Based on organizational capacity, you can lay down project timelines and map out scope as well as success metrics, outline tasks, and build a feedback loop into your project plan. Follow these project planning steps to create a winning plan:      

1. Establish Project Scope And Metrics

Defining your project scope is essential to protecting your iron, or agile, triangle from crumbling. Too often, projects are hit with scope creep , causing delays, budget overruns, and anxiety.

“Clearly define your project’s scope or overall purpose,” says Yazdani. “Confirm any project parameters or constraints, like budget, resource availability, and timeline,” says Yazdani.

A project purpose statement is a high-level brief that defines the what, who, and why of the project along with how and when the goal will be accomplished. But just as important as defining your project scope and purpose is defining what metrics you’re going to use to track progress.

“Establish how you will measure success,” says Yazdani. “Are there metrics, performance criteria, or quality standards you need to meet?”

Clearly defining what your project is, the project’s overall purpose, and how you’re going to measure success lays the foundation for the rest of your project plan—so make sure you take the time to define each of these elements from the get-go.

2. Identify Key Project Stakeholders 

Get clarity on the team members you need to bring the project to life. In other words, identify the key stakeholders of the project. 

“List individuals or groups who will be impacted by the project,” says Yazdani. 

In addition to identifying who needs to be involved in the project, think about how they’ll need to be involved—and at what level. Use a tool like Confluence to run a virtual session to clarify roles and responsibilities, and find gaps that need to be filled. 

Let’s say you’re managing a cross-functional project to launch a new marketing campaign that includes team members from your marketing, design, and sales departments. 

When identifying your key stakeholders, you might create different lists based on the responsibility or level of involvement with the project:

• Decision-makers (who will need to provide input at each step of the project)
• Managers (who will be overseeing employees within their department) 
• Creative talent (who will be actually creating the project deliverables for the campaign) from each department. 

Give your project plan an edge by using a Confluence template like the one below to outline roles and responsibilities.

Define roles, discuss responsibilities, and clarify which tasks fall under each teammate’s purview using this Confluence template. 

Getting clarity on who needs to be involved in the project—and how they’re going to be involved—will help guide the rest of the project plan writing process (particularly when it comes to creating and assigning tasks).

3. Outline Deliverables

Now is the time to get granular.

Each project milestone comprises a series of smaller, tangible tasks that your teams need to produce. While a big-picture view keeps teams aligned, you need signposts along the way to guide them on a day-to-day or weekly basis. Create a list of deliverables that will help you achieve the greater vision of the project. 

“What will you create, build, design, produce, accomplish or deliver?” says Yazdani. “Clearly outline your project’s concrete and tangible deliverables or outcomes.” Centralize these deliverables in a Trello board with designated cards for each one, like in the example below, so you keep work moving forward.

Each card on a board represents tasks and ideas and you can move cards across lists to show progress.

Defining the concrete items you need your project to deliver will help you reverse-engineer the things that need to happen to bring those items to life—which is a must before moving on to the next step.

4. Develop Actionable Tasks

Task management is an important component of any project plan because they help employees see what exactly they need to accomplish. Drill down those deliverables into actionable tasks to assign to your team. 

You can use either Confluence or Jira for different task management needs. If you want to track tasks alongside your work, like action items from a meeting or small team projects, it’s best to use Confluence. But if a project has multiple teams and you need insight into workflows, task history, and reporting, Jira makes it easy.      

“Let your deliverables guide the work of the project,” says Yazdani. “Break down each deliverable into smaller and smaller components until you get to an actionable task.” If a major deliverable is a set of content pieces, the smaller actionable tasks would be to create topic ideas, conduct research, and create outlines for each topic.  

Once you’ve broken down all of your deliverables into manageable, assignable subtasks, analyze how each of those tasks interacts with each other. That way, you can plan, prioritize, assign, and add deadlines accordingly.  

“Highlight any dependencies between tasks, such as tasks that can’t be started until another task is complete,” says Yazdani. “List any resources you will need to accomplish these tasks.”

When a task has multiple assignees, you need to streamline the workflow in your project plan. Say the content pieces you outlined need to be edited or peer-reviewed. A couple of articles may need an interview with a subject matter expert. Lay down a stage-by-stage process of each piece of content and pinpoint when each team member comes into play so you prevent bottlenecks and adjust timeframes.     

5. Assign Tasks And Deadlines

Assign tasks to your team and collaborate with employees to set deadlines for each task. When you involve employees in setting workloads and deadlines , you increase ownership and boost the chances of delivering quality work on time.  

After all, you want to move projects forward at a steady pace, but you also want to make sure your teams stay motivated and engaged. So, when writing your project plan, make sure to “set realistic and achievable deadlines for completing tasks and deliverables,” says Yazdani. “Highlight dates that are inflexible and factor in task dependencies. Add in milestones or checkpoints to monitor progress and celebrate successes .”

Use Jira and Confluence to create tasks that live alongside your project plan or meeting agendas.

Once you map out all of your tasks and deadlines, you should have a clear picture of how and when your project is going to come together—and the initial writing process is just about finished.

But that doesn’t mean your project plan is complete! There’s one more key step to the process.

6. Share, Gather Feedback, And Adjust The Project Plan As Necessary

While steps 1 through 5 may make up your initial writing process, if you want your project plan to be as strong and complete as it can be, it’s important to share it with your team—and get their input on how they think it can be improved.

“Share the plan with your project team and key stakeholders, gathering feedback to make adjustments and improvements,” says Yazdani. 

A tool like Confluence helps knowledge flow freely within teams and departments, leading to better teamwork, higher collaboration, and a shared understanding of priorities. Coworkers can use comments, mentions, notifications, and co-editing capabilities to provide and discuss feedback. 

After you gather your team’s feedback —and make any necessary adjustments based on that feedback—you can consider your project plan complete. Hooray! 

But as your project progresses, things may change or evolve—so it’s important to stay flexible and make changes and adjustments as needed.

“Expect to update your plan as you gather more information, encounter changing requirements and delays, and learn from feedback and mistakes,” says Yazdani. “By using your project plan to guide your activities and measure progress, you’ll be able to refine and improve your plan as you move through the project, tweaking tasks and deadlines as deliverables are developed.”

Download a  template to create your project plan and customize it based on your needs.

Example of a simple project plan 

A project plan doesn’t have to be a complicated spreadsheet with multiple tabs and drop-down menus. It’s best to use a project planning tool like Confluence — or at least a project plan template — to make sure you cover every aspect of the project. A simple project plan includes these elements:

• Project name, brief summary, and objective.
• Project players or team members who will drive the project, along with their roles and responsibilities.
• Key outcomes and due dates.
• Project elements, ideally divided into must-have, nice-to-have and not-in-scope categories.
• Milestones, milestone owners, and a project end date.
• Reference material relevant to the project.

Best Practices For Writing Effective Project Plans

A project planning process can quickly turn into a mishmash of goals and tasks that end up in chaos but these best practices can give you a framework to create a project plan that leads to success.

Use Other Project Plans For Inspiration

There’s no need to reinvent the wheel for every new project! Instead, look to other successful project plans for inspiration—and use them as a guide when writing the plan for your project.

“Review templates and plans for similar projects, or for other projects within your organization or industry, to get ideas for structuring and drafting your own plan,” says Yazdani.

To get started, use a Trello project management template and customize it for your project plan by creating unique lists and adding cards under each list.

Build your team’s ideal workflow and mark each stage of the project plan as a list, with cards for each task. 

Get Your Team Involved In The Process

You may be in charge of spearheading the project. But that doesn’t mean that you have to—or even that you should—write the project plan alone. 

“Collaborate with your project team and key stakeholders on crafting a project plan,” says Yazdani. “Input into the project plan supports buy-in to project goals and encourages continued engagement throughout the project.”

With Confluence , you can organize project details in a centralized space and build a project plan collaboratively.

Don’t Let Perfect Be The Enemy Of The Good

You may be tempted to write (and rewrite) your project plan until you’ve got every detail mapped out perfectly. But spending too much time trying to get everything “perfect” can actually hold up the project. So don’t let perfect be the enemy of the good—and instead of getting caught up in getting everything perfect from the get-go, stay willing and flexible to adjust your project plan as you move forward.

“Focus on outcomes, not plan perfection,” says Yazdani. “While it would be awesome for the first draft of our plan to require no changes while also inspiring our team and ensuring project success, our goal shouldn’t be a perfect plan. Our goal is a plan that allows us to successfully deliver on project goals. Responsiveness to changing needs and a shifting environment is more important than plan perfection.”

Use the right tools to succeed with your project plan

Writing a project plan, especially if you’re new to the process, can feel overwhelming. But now that you know the exact steps to write one, make sure you have the tools you need to create a strong, cohesive plan from the ground up—and watch your project thrive as a result. 

Atlassian Together can help with project planning and management with a powerful combination of tools that make work flow across teams.

Guide your team to project success with Atlassian Together’s suite of products.

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The Ultimate Guide to Agile Methodology – Everything to Know and Tips

Fahad Sheikh

Agile is like that friend who insists on taking the scenic route but ensures you soak in every detail along the way. It’s all about taking a large project and slicing it into bite-sized pieces, making the journey of development an iterative and enjoyable adventure.

Through the lens of Agile, the System Development Life Cycle transforms into a well-orchestrated dance of structured yet adaptable steps, leading to the creation of high-quality products. This approach isn’t just systematic, it’s a celebration of collaboration, adaptability, and the spirit of continuous improvement. In the following narrative, we’ll pull back the curtain on the Agile methodology, shedding light on its essence and how it has been reshaping the landscape of project management.

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In the field of software development, Agile stands out as a prominent project management methodology, with Scrum as one of its widely recognized frameworks. Both Agile and Scrum operate on the foundational ethos of enabling fast and efficient software development through iterative and collaborative practices.

While sharing common objectives, Scrum provides a specific procedural structure within the broader Agile approach, each bringing its own set of strengths to the table. As we delve deeper into Agile methodologies, we’ll explore the distinct facets and the inherent synergy of Agile and Scrum in fostering a conducive environment for successful software development.

There are typically three main methodologies, i.e., Scrum in which the project is broken down into sprints and Kanban Boards as well as Extreme Programming .

Diving into the Agile System Development Lifecycle

The Agile methodology has become a linchpin in modern organizational frameworks, dramatically reshaping the legacy of traditional methodologies. The Agile System Development Lifecycle (SDLC) is akin to a well-scripted narrative that unfolds from the inception of a project to its post-development stage, ensuring a smooth transition through each act.

Envision the Agile SDLC as the heartbeat of a project, where each pulse represents a phase designed to add value and bring the project closer to a solution that resonates with the users’ needs. It’s a collaborative journey that focuses on iterative progress, immediate feedback, and relentless pursuit of quality.

Within the Agile SDLC, a project is meticulously deconstructed into a series of distinct tasks. Each task is designed to be result-oriented and fine-tuned to contribute to the holistic vision of the product. Embracing the Agile SDLC not only paves the way for high-quality end products but aligns them meticulously with user requirements.

Now, while the nomenclature may vary slightly across different schools of thought, the essence of the stages remains intact. According to a report by the Project Management Institute, Agile organizations experience 28% higher success rates in project delivery compared to their traditional counterparts.

Here’s a sneak peek into the six enthralling stages of the Agile System Development Lifecycle that we will be dissecting in the subsequent narrative:

• Strategy and Vision: Setting the compass for the project’s journey.
• Inception: Planting the seeds of the project, defining scope and objectives.
• Iteration: Embarking on cycles of planning, executing, and reviewing.
• Implementation and Deployment: Bringing the solution to life in the real world.
• Maintenance: Ensuring the solution’s relevance and effectiveness post-deployment.

In the upcoming sections, we’ll explore each stage in meticulous detail, shedding light on how they contribute to a robust, adaptive, and user-centric software development narrative. But let’s take a look at the difference between traditional approaches and the Agile approach to project management.

Agile Vs Traditional System Development Lifecycle: A Tale of Two Methodologies

Ah, the age-old clash between the contemporary Agile and the classical Waterfall. These two methodologies are like the contrasting characters in a riveting drama, each with its own set of ideologies and ways of orchestrating the software development saga.

Let’s step into the realm of the Traditional System Development Lifecycle (SDLC) first. Picture a serene river, following a predetermined path, cascading from one phase to another. This is the essence of the Waterfall model – a linear and sequential approach where each phase depends heavily on the deliverables of the preceding phase. It’s structured, it’s straightforward, but alas, it’s also rigid. Changes in scope are viewed with a squint, and feedback is a guest that arrives late to the party, often at the end of the project.

Now, let’s leap into the modern-day narrative of Agile. Imagine a bustling city with roads intertwined, where feedback flows like traffic, guiding the way at every intersection. Agile SDLC is like a dynamic network, embracing changes, encouraging feedback, and promoting a collaborative environment. It’s a methodology that’s flexible and adaptive, making room for adjustments as the project evolves. Unlike its Waterfall counterpart, Agile welcomes change even late in the development process, making it a darling among teams that thrive on collaboration and customer-centricity.

Here are a few stark contrasts that set these methodologies apart:

• Flexibility : Agile is like clay, ready to be moulded as per the project’s evolving needs, while Waterfall is like a rock, solid and unyielding in its structure.
• Feedback Loops : Agile fosters a culture of continuous feedback, ensuring the product is aligned with customer expectations. On the flip side, Waterfall often reserves feedback for the final act, which could lead to dramatic revelations.
• Collaboration : Agile promotes a collaborative ethos among cross-functional teams, fostering a vibrant ecosystem of ideas and solutions. In contrast, Waterfall follows a more hierarchical structure, often operating in silos.

The choice between Agile and Waterfall boils down to the nature of the project, the environment, and the level of uncertainty. Agile, with its iterative and collaborative nature, tends to shine in dynamic, fast-paced environments where change is the only constant. Meanwhile, Waterfall might find its niche in projects with well-defined requirements and a clear, unchanging path to the finish line.

As we voyage through the nuances of Agile, you’ll discover how this modern methodology has been a catalyst in driving successful, user-centric software development in today’s digital landscape.

The Stages of Agile System Development Lifecycle

Alright, let’s dive into the heart of Agile by breaking down the journey into five relatable stages. Imagine you’re embarking on an exciting road trip, with each stage being a memorable stop along the way, gradually unfolding the landscape of your project into a user-friendly masterpiece. Here’s how it rolls out:

Strategy and Vision

Picture this as the stage where you pull out the map, mark your destination, and plot the route you’re going to take. It’s all about understanding the terrain, getting everyone on the same page, and being excited about the adventure ahead. You’ll be chatting with stakeholders, brainstorming with your squad, and sketching out the big picture of what’s to come. It’s about laying a solid foundation that will steer the wheel throughout the journey.

Now, you’re revving up the engine and checking the gears. In this stage, you’re gathering all the nitty-gritty details, the user stories, and beginning to see how your project will take shape. It’s the ‘let’s get down to business’ phase where collaboration with stakeholders and your team is the name of the game. You start visualizing the roadmap and everyone’s role in making the project a reality.

You’re on the road now, and every mile you cover brings you closer to your destination. In the Agile world, these miles are your iterations or sprints, where you tackle challenges, adapt to new insights, and keep refining your strategies based on the feedback you receive. It’s the heart and soul of the journey, where the rubber meets the road, and your project starts to truly evolve.

Implementation and Deployment

You’ve reached the town, but now you need to find the exact address. This stage is about fine-tuning, testing the waters, and making sure everything is in tip-top shape before you unveil your project to the world. It’s the moment of truth where all your hard work gets tested in the real world scenario, and you inch closer to the finishing line.

Maintenance

You’ve arrived, but the journey doesn’t end here. It’s about keeping the car running smoothly, ensuring everything remains in order, and being ready to tweak and tune as the road conditions change. In the project world, it’s about providing ongoing support, fixing any hitches, and ensuring your project continues to shine and deliver value.

This is the Agile roadmap broken down into enjoyable, manageable stages, making the whole process less daunting and more of a collaborative, evolving adventure. Each stage is a blend of meticulous planning, lively collaboration, and the thrill of seeing your project come to life, step by step.

Battle-tested Tips for You to Implement the Agile SDLC

In managing the Agile System Development Life Cycle (SDLC), a blend of structured planning and flexibility for adaptation is key. Here are some refined tips, interspersed with facts and figures, to ensure smooth sailing through the Agile SDLC:

Continuous Collaboration with Stakeholders

Engage stakeholders throughout the project, ensuring regular feedback loops to keep everyone aligned and to make informed decisions based on stakeholder input.

Choose the Right Agile Methodology

Pick an Agile framework that aligns with your project’s needs and your team’s capabilities. For example, Scrum could be ideal for its focus on short-term goals, while Kanban might suit a team aiming for workflow visualization and continuous delivery​.

Effective Planning of Iterations

Break down the project into smaller, manageable chunks (iterations) and prioritize them based on stakeholder feedback and business value.

Daily Stand-up Meetings

Conduct daily stand-ups to keep the team synced, address blockers, and ensure everyone is on the same page regarding project progress.

Test Iterations with Stakeholders

Involve stakeholders in reviewing and testing each iteration, ensuring that the deliverables meet their expectations and align with the project goals​.

Utilize Project Management Software

Implement a robust Agile project management tool to facilitate communication, track progress, manage backlogs, and ensure everyone has access to the necessary information for effective decision-making.

Continuous Deployment

Embrace Continuous Deployment to ensure that every change passes through a reliable pipeline to be automatically tested before getting released into production, maintaining high quality and rapid delivery​.

Educate and Align the Team

Internalize the Agile values and principles among the team, encouraging a mindset shift towards a more collaborative, iterative, and customer-centric approach to project development​.

Methodology, Architecture, Automation, Infrastructure, and Technology (MAAIT)

Evaluate and optimize these five key areas to propel speed and agility in your software development process​.

Adopt Kanban for Workflow Management:

If suited, implement Kanban to visualize work, identify bottlenecks, and optimize the flow of tasks through various stages of development​.

Implementing Agile effectively requires a blend of adopting the right methodologies, engaging in continuous collaboration, and leveraging technology for project management and deployment. As you navigate through the Agile voyage, keeping these tips in mind can play a pivotal role in steering your projects towards success.

Let’s Wrap up and go Agile!

In conclusion, Agile SDLC, when managed effectively, can significantly enhance project control, and adaptability, and ultimately lead to successful project outcomes. It’s not merely about adopting a methodology but embracing a culture of continuous improvement and stakeholder engagement. Good luck on your Agile journey!

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Demystifying Project Management Documentation

• Written by John Terra
• Updated on July 23, 2024

Good management is an essential part of a successful project, which is made possible with good documentation. This article explores the topic of project management documentation, including what it is, its benefits, uses, phases, tools, and more.

It also shares a project management program professionals can take to get practical experience and earn a certificate.

What Is Project Documentation?

Project documentation is a collection of documents and data that captures a project’s relevant information. Usually, the project manager collects all the project’s relevant documents for each stage, including files related to budgeting, design, goals, proposals, requirements, implementation, testing, deployment, and support. Project documentation lets project leaders stay organized, track progress better, and ensure compliance.

The Benefits of Documentation in Project Management

It is no surprise that collecting all your project’s documents into one place helps the team work more efficiently; they don’t have to waste time searching for files or disrupting workflow when they need to refer to budgets or when stakeholders want to see a project proposal or design. Here are some of the primary advantages of project management documentation:

• Improved communication. Documenting the project ensures it remains transparent and all stakeholders are on the same page. This makes updating the different timelines, milestones, and deliverables easier.
• Enhanced collaboration. Collaboration becomes easier when all relevant documents are accounted for since members from different teams enjoy access to the same information. Project documentation ensures everyone is on the same page and working together towards the project’s common goal.
• Increased accountability. You can better guarantee that the project’s stakeholders are held accountable for tasks they’re responsible for when you document the different project steps.
• Provided clarity. Project documentation adds value to the development process by clarifying work’s progress and what is left to do and establishing work requirements, goals, and objectives.

Also Read: What is a Project Management Office? A Beginner’s Guide

Project Management Documentation Uses

Experienced project managers specialize in making and following standard project documentation templates. These managers reuse successful business cases, project plans, requirement sheets, project status reports, and other resources to help them focus on managing the project rather than balancing unmanageable paperwork.

Project Documentation by Project Phase

Not all project management documentation is the same; it varies depending on the project phase. Most projects are split into stages: initiation, planning, execution, and close-out. Here’s a very brief overview of each phase’s documentation.

#1. Project initiation. Project initiation documents define project goals and objectives and include the following:

• Project charter
• Project proposal
• Business case
• Project kickoff meeting agenda

#2. Project planning. Here’s a list of the documents you will need during the project planning phase:

• Work breakdown structure (WBS)
• Work plan template
• Working agreement
• Statement of work (SOW), especially if the project will employ professionals outside the organization
• Project schedule
• Communications plan
• Risk management plan
• Quality management plan
• Procurement plan
• Change management plan
• Project budget
• Resource plan

#3. Project execution. Project execution documentation helps track the project’s performance and progress. This stage includes the following:

• Deliverables
• Status/progress report

#4. Project close-out. Close-out documentation helps you wrap up the project and hand it over to the client. This final stage includes the following documents:

• Project closure report
• Customer satisfaction survey
• Audit report
• Project archive

Also Read: AI for Project Management: Creating More Efficiency, Accuracy, and Better Results

Types of Project Management Documents

Each project will have different documents reflecting the unique scope, type of project, and team members involved. However, all kinds of projects can benefit from documentation because it provides organization and clarity. Let’s review some different document types you should include.

• Project charters: This document outlines the project’s components, scope, objectives, and stakeholders as a general anchor to guide you through the milestones.
• Statement of work (SOW): This is a formal agreement between two parties that outlines the project’s scope and objectives, often used when working with external parties.
• Project status reports: These useful reports help project managers track recent task updates and check on a project’s progress.
• Risk management plans: A risk management plan outlines potential risks and roadblocks that may occur during a project and includes plans for reacting to them, including solutions.
• Financial plans: This document summarizes how funds are allocated to the project’s various tasks and milestones.
• Issue tracker: Issue trackers allow project managers to monitor issues that may arise at any point in the project. This process helps prevent more significant issues later on.
• Technical documents: Technical documents contain details for designing, using, or developing a technical system, plus information on functions and safety.
• Rollout plan: A rollout plan documents how systems will be implemented in an organization, including the different phases, steps, and training.

Project Management Documentation Best Practices

Files aren’t usually created with documentation in mind, but it’s essential to adapt them appropriately when organizing all your documents to make it more convenient to retrieve data. So, follow these tips to manage your project documentation seamlessly.

• Build up a team of contributors. Project documentation is a collaborative process, so create a team of editors, contributors, and reviewers pulled from different teams to ensure your documents are consistent and accurate.
• Stick to a consistent structure. Use clear headers, labels, prioritization, topics, tags, and sub-topics to ensure documents are well-structured and easily searchable.
• Make good use of templates. Templates help your team structure project documentation so that it’s easy to search and reference data. Start things smoothly with a work tool like monday.com (see the Tools section below) with built-in documentation templates.
• Update documentation regularly. Keep track of document version histories and update documentation regularly for the project’s lifespan to guarantee that the information is always current.
• Don’t get bogged down by minutiae. Not every document has to be highly detailed; sometimes, less is more. Being concise makes some documents more accessible. Ensure your documents have enough information for their relevant tasks.

How to Create Project Management Documentation

Follow these steps for successful project management documentation.

• Collect all necessary files. Documents are scattered across many platforms, such as hard drives, internal messages, Word docs, e-mails, and PDFs. So, the first step in the project documentation preparation process is gathering all these tools into one centralized space.
• Ensure the documents are descriptive. Each project stage requires different documentation, so ensure you have all the necessary documentation for each stage from start to finish. Naturally, more documents are expected to be added during the project, but having the right ones on hand from the beginning helps keep tasks on track.
• Structure documents for easier searches. Existing documents might be loaded with unnecessary information, which can distract when searching for specific data. To save the team time, consider adding features such as internal links, table of contents, and sub-categories.
• Make the production a collaborative effort. It can be challenging to separate relevant information from noise and clutter, so get your team involved in the project documentation process’s early stages to help contribute or review and improve essential documents. This involvement ensures anything that needs to be clarified, added, or updated gets addressed and updated.
• Publish and maintain your documents. When the documents are finalized, add extra touches and features such as tags and indexing to the documentation platform to facilitate searches. Project documentation is an ongoing effort that demands regular maintenance as the project develops, so you regularly review the project documents to ensure they’re up-to-date and relevant.

Also Read: Exploring Top AI Project Management Tools

Project Documentation Tools

There’s a plethora of project documentation tools available today. Here’s a sampling:

• BigTime. BigTime is Professional Services Automation (PSA) software that lets users track and act on operational metrics. It simultaneously simplifies time management, expense management, and billing for multiple projects.
• monday.com Work OS . This tool helps teams plan, execute, and track projects in one centralized, collaborative workspace. It features over 200 templates, easy integrations, and intelligent no code automation.
• Quickbase . Quickbase is a no code software platform that lets users create customized solutions as it incorporates analytics, billing, expense tracking, and more.
• Workzone. Workzone is ideal for project managers who manage many projects at once. Its easy-to-use features include resource management, collaboration, reporting, sharing Gantt charts, etc.
• Wrike. Boasting over 400 application integrations, Wrike lets managers visualize priorities, enhance collaboration, and keep projects under control.
• Zoho Projects . This tool allows managers to automate project notifications, tasks, and workflows. It offers intuitive reporting of budget health and project progress, enabling teams to make decisions faster.

Learn About Project Management

If you want to learn more about project management and become a project manager, check out this professional certificate program in project management online course. This 12-week bootcamp is aligned with IASSC-Lean Six Sigma and PMI-PMP® and helps you gain the skills needed to master complex projects and ensure success in today’s complex digital age.

Indeed.com indicates that project managers earn an average yearly salary of $88,949. Check out this certification course to sharpen your project manager skills.

Q: What is project documentation in project management?

A: Project management documentation collects documents and data that capture a project’s relevant information.

Q: What are the different types of project management documentation?

A: Project documentation types include:

• Project charters
• Statement of work (SOW)
• Project status reports
• Risk management plans
• Financial plans
• Issue trackers
• Technical documents
• Rollout plans

You might also like to read:

How to Negotiate the Best Project Manager Salary

What is Enterprise Resource Planning, And How Does It Help Organizations?

What Are Network Diagrams in Project Management, and Why Are They Effective?

PMP® Exam Tips: A 2024 Guide

What is the Pomodoro Technique & How Does It Help in Time Management?

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Project Management Bootcamp

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Job Postings

Find employment opportunities with legislatures, states and public policy organizations.

Posted July 24, 2024

Washington Joint Legislative Audit and Review Committee

Communications Consultant (Temporary)

Hybrid/Olympia, Wash.

Range: $6,832 to $8,400 per month, depending on experience and qualifications.

Posted July 23, 2024

Legislative Budget Office

Economist (Budget Analyst II)

Hybrid/St. Paul, Minn.

Range: $91,996 to $166,048 p/year

Pew Charitable Trusts

Associate I, Government Relations

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Range: $70,000 - $90,000 based on experience and qualifications.

Full Time (On-site)

Aug. 14, 2024

Job Overview

The Legislative Budget Office (LBO) is seeking to fill an Economist position as part of their tax expenditure evaluation team. This is a full-time benefits eligible position. The economist enjoys rewarding work applying statistical and econometric research methods to support the Minnesota Legislature in evaluating tax expenditure policies including, tax credits, tax exemptions, and preferential rates, among other tax incentives. The Legislative Budget Office will determine the starting salary based on the successful applicant’s qualifications and experience. The full salary range for the position is $91,996 to $166,048. The starting salary offered will be based upon an assessment of the candidate’s qualifications and experience. A complete position description is available on the legislative coordinating commission's employment opportunities webpage or call 651-284-6436 to request a copy. For more information regarding the LBO, visit the LBO website.

Responsibilities

The Economist position supports the Minnesota Legislature by contributing as an essential member of the LBO team through:

• Utilizing tax research and modeling methods to estimate the impact of tax expenditure policy on tax revenues in Minnesota.
• Working as part of a team to develop and implement metrics and methods to evaluate the effectiveness of tax expenditures.
• Contributing to the development of written reports submitted to the Minnesota Tax Expenditure Review Commission.
• Presenting research and findings as needed to support the work of the LBO.

Qualifications

• A graduate level degree in applied economics, economics, statistics, public policy or related field and at least three years of experience in a related field; OR, a PhD degree in a related field.
• Graduate coursework in econometrics and statistics.
• Critical thinking and problem-solving skills.
• Excellent written and oral communication skills.
• Ability to work collaboratively in a team environment.
• Non-partisan background and ability to act impartially, in a politically neutral manner. Desired Qualifications:
• Experience forecasting tax revenues.
• Experience with input-output economic modeling.
• Knowledge of Minnesota’s state tax structure.
• Knowledge of programing language for R and other statistical analysis software.

Work Environment

The LBO is committed to building a staff complement that includes diverse perspectives and backgrounds. The LBO plays a meaningful role in the legislative process and provides elected officials with objective and nonpartisan analysis needed to make informed decisions. The Minnesota Legislature offers a comprehensive benefits package.

Comprehensive Benefit Package

The State of Minnesota offers exceptional benefits including low cost medical and dental insurance, employer paid life insurance, other optional insurance, optional pre-tax spending accounts, retirement plan, optional tax-deferred compensation, vacation and sick leave and paid holidays each year. The LBO recognizes there are key elements that make life and work meaningful: health and wellness, financial well-being, professional development, and work/life balance. These benefits, in addition to your salary, make up your total compensation.

About the Organization

During peak periods, LBO staff may experience long work hours and deadlines requiring the ability to stay composed under pressure. The LBO values the unique contributions that candidates with diverse experiences, knowledge, and backgrounds can bring to our work. The State of Minnesota is an equal opportunity employer. We are committed to embedding diversity, equity, inclusion, and accessibility at our workplace.

How to Apply

To ensure consideration, applications should be received by Wednesday, August 14, 2024. Interested applicants must submit a cover letter with their resume to the LBO Economist Search Committee at [email protected] or mail to LBO Economist Search Committee, Legislative Budget Office, 658 Cedar St., Centennial Building, 1st Floor, St. Paul, MN 55155.

If you have specific questions, please contact Christian Larson at [email protected] .

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