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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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How to Write Research Methodology

Last Updated: May 21, 2023 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 515,004 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 2 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

You Might Also Like

• ↑ 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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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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Home » Research Methodology – Types, Examples and writing Guide

Research Methodology – Types, Examples and writing Guide

Table of Contents

Research Methodology

Definition:

Research Methodology refers to the systematic and scientific approach used to conduct research, investigate problems, and gather data and information for a specific purpose. It involves the techniques and procedures used to identify, collect , analyze , and interpret data to answer research questions or solve research problems . Moreover, They are philosophical and theoretical frameworks that guide the research process.

Structure of Research Methodology

Research methodology formats can vary depending on the specific requirements of the research project, but the following is a basic example of a structure for a research methodology section:

I. Introduction

• Provide an overview of the research problem and the need for a research methodology section
• Outline the main research questions and objectives

II. Research Design

• Explain the research design chosen and why it is appropriate for the research question(s) and objectives
• Discuss any alternative research designs considered and why they were not chosen
• Describe the research setting and participants (if applicable)

III. Data Collection Methods

• Describe the methods used to collect data (e.g., surveys, interviews, observations)
• Explain how the data collection methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or instruments used for data collection

IV. Data Analysis Methods

• Describe the methods used to analyze the data (e.g., statistical analysis, content analysis )
• Explain how the data analysis methods were chosen and why they are appropriate for the research question(s) and objectives
• Detail any procedures or software used for data analysis

V. Ethical Considerations

• Discuss any ethical issues that may arise from the research and how they were addressed
• Explain how informed consent was obtained (if applicable)
• Detail any measures taken to ensure confidentiality and anonymity

VI. Limitations

• Identify any potential limitations of the research methodology and how they may impact the results and conclusions

VII. Conclusion

• Summarize the key aspects of the research methodology section
• Explain how the research methodology addresses the research question(s) and objectives

Research Methodology Types

Types of Research Methodology are as follows:

Quantitative Research Methodology

This is a research methodology that involves the collection and analysis of numerical data using statistical methods. This type of research is often used to study cause-and-effect relationships and to make predictions.

Qualitative Research Methodology

This is a research methodology that involves the collection and analysis of non-numerical data such as words, images, and observations. This type of research is often used to explore complex phenomena, to gain an in-depth understanding of a particular topic, and to generate hypotheses.

Mixed-Methods Research Methodology

This is a research methodology that combines elements of both quantitative and qualitative research. This approach can be particularly useful for studies that aim to explore complex phenomena and to provide a more comprehensive understanding of a particular topic.

Case Study Research Methodology

This is a research methodology that involves in-depth examination of a single case or a small number of cases. Case studies are often used in psychology, sociology, and anthropology to gain a detailed understanding of a particular individual or group.

Action Research Methodology

This is a research methodology that involves a collaborative process between researchers and practitioners to identify and solve real-world problems. Action research is often used in education, healthcare, and social work.

Experimental Research Methodology

This is a research methodology that involves the manipulation of one or more independent variables to observe their effects on a dependent variable. Experimental research is often used to study cause-and-effect relationships and to make predictions.

Survey Research Methodology

This is a research methodology that involves the collection of data from a sample of individuals using questionnaires or interviews. Survey research is often used to study attitudes, opinions, and behaviors.

Grounded Theory Research Methodology

This is a research methodology that involves the development of theories based on the data collected during the research process. Grounded theory is often used in sociology and anthropology to generate theories about social phenomena.

Research Methodology Example

An Example of Research Methodology could be the following:

Research Methodology for Investigating the Effectiveness of Cognitive Behavioral Therapy in Reducing Symptoms of Depression in Adults

Introduction:

The aim of this research is to investigate the effectiveness of cognitive-behavioral therapy (CBT) in reducing symptoms of depression in adults. To achieve this objective, a randomized controlled trial (RCT) will be conducted using a mixed-methods approach.

Research Design:

The study will follow a pre-test and post-test design with two groups: an experimental group receiving CBT and a control group receiving no intervention. The study will also include a qualitative component, in which semi-structured interviews will be conducted with a subset of participants to explore their experiences of receiving CBT.

Participants:

Participants will be recruited from community mental health clinics in the local area. The sample will consist of 100 adults aged 18-65 years old who meet the diagnostic criteria for major depressive disorder. Participants will be randomly assigned to either the experimental group or the control group.

Intervention :

The experimental group will receive 12 weekly sessions of CBT, each lasting 60 minutes. The intervention will be delivered by licensed mental health professionals who have been trained in CBT. The control group will receive no intervention during the study period.

Data Collection:

Quantitative data will be collected through the use of standardized measures such as the Beck Depression Inventory-II (BDI-II) and the Generalized Anxiety Disorder-7 (GAD-7). Data will be collected at baseline, immediately after the intervention, and at a 3-month follow-up. Qualitative data will be collected through semi-structured interviews with a subset of participants from the experimental group. The interviews will be conducted at the end of the intervention period, and will explore participants’ experiences of receiving CBT.

Data Analysis:

Quantitative data will be analyzed using descriptive statistics, t-tests, and mixed-model analyses of variance (ANOVA) to assess the effectiveness of the intervention. Qualitative data will be analyzed using thematic analysis to identify common themes and patterns in participants’ experiences of receiving CBT.

Ethical Considerations:

This study will comply with ethical guidelines for research involving human subjects. Participants will provide informed consent before participating in the study, and their privacy and confidentiality will be protected throughout the study. Any adverse events or reactions will be reported and managed appropriately.

Data Management:

All data collected will be kept confidential and stored securely using password-protected databases. Identifying information will be removed from qualitative data transcripts to ensure participants’ anonymity.

Limitations:

One potential limitation of this study is that it only focuses on one type of psychotherapy, CBT, and may not generalize to other types of therapy or interventions. Another limitation is that the study will only include participants from community mental health clinics, which may not be representative of the general population.

Conclusion:

This research aims to investigate the effectiveness of CBT in reducing symptoms of depression in adults. By using a randomized controlled trial and a mixed-methods approach, the study will provide valuable insights into the mechanisms underlying the relationship between CBT and depression. The results of this study will have important implications for the development of effective treatments for depression in clinical settings.

How to Write Research Methodology

Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It’s an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:

• Start by explaining your research question: Begin the methodology section by restating your research question and explaining why it’s important. This helps readers understand the purpose of your research and the rationale behind your methods.
• Describe your research design: Explain the overall approach you used to conduct research. This could be a qualitative or quantitative research design, experimental or non-experimental, case study or survey, etc. Discuss the advantages and limitations of the chosen design.
• Discuss your sample: Describe the participants or subjects you included in your study. Include details such as their demographics, sampling method, sample size, and any exclusion criteria used.
• Describe your data collection methods : Explain how you collected data from your participants. This could include surveys, interviews, observations, questionnaires, or experiments. Include details on how you obtained informed consent, how you administered the tools, and how you minimized the risk of bias.
• Explain your data analysis techniques: Describe the methods you used to analyze the data you collected. This could include statistical analysis, content analysis, thematic analysis, or discourse analysis. Explain how you dealt with missing data, outliers, and any other issues that arose during the analysis.
• Discuss the validity and reliability of your research : Explain how you ensured the validity and reliability of your study. This could include measures such as triangulation, member checking, peer review, or inter-coder reliability.
• Acknowledge any limitations of your research: Discuss any limitations of your study, including any potential threats to validity or generalizability. This helps readers understand the scope of your findings and how they might apply to other contexts.
• Provide a summary: End the methodology section by summarizing the methods and techniques you used to conduct your research. This provides a clear overview of your research methodology and helps readers understand the process you followed to arrive at your findings.

When to Write Research Methodology

Research methodology is typically written after the research proposal has been approved and before the actual research is conducted. It should be written prior to data collection and analysis, as it provides a clear roadmap for the research project.

The research methodology is an important section of any research paper or thesis, as it describes the methods and procedures that will be used to conduct the research. It should include details about the research design, data collection methods, data analysis techniques, and any ethical considerations.

The methodology should be written in a clear and concise manner, and it should be based on established research practices and standards. It is important to provide enough detail so that the reader can understand how the research was conducted and evaluate the validity of the results.

Applications of Research Methodology

Here are some of the applications of research methodology:

• To identify the research problem: Research methodology is used to identify the research problem, which is the first step in conducting any research.
• To design the research: Research methodology helps in designing the research by selecting the appropriate research method, research design, and sampling technique.
• To collect data: Research methodology provides a systematic approach to collect data from primary and secondary sources.
• To analyze data: Research methodology helps in analyzing the collected data using various statistical and non-statistical techniques.
• To test hypotheses: Research methodology provides a framework for testing hypotheses and drawing conclusions based on the analysis of data.
• To generalize findings: Research methodology helps in generalizing the findings of the research to the target population.
• To develop theories : Research methodology is used to develop new theories and modify existing theories based on the findings of the research.
• To evaluate programs and policies : Research methodology is used to evaluate the effectiveness of programs and policies by collecting data and analyzing it.
• To improve decision-making: Research methodology helps in making informed decisions by providing reliable and valid data.

Purpose of Research Methodology

Research methodology serves several important purposes, including:

• To guide the research process: Research methodology provides a systematic framework for conducting research. It helps researchers to plan their research, define their research questions, and select appropriate methods and techniques for collecting and analyzing data.
• To ensure research quality: Research methodology helps researchers to ensure that their research is rigorous, reliable, and valid. It provides guidelines for minimizing bias and error in data collection and analysis, and for ensuring that research findings are accurate and trustworthy.
• To replicate research: Research methodology provides a clear and detailed account of the research process, making it possible for other researchers to replicate the study and verify its findings.
• To advance knowledge: Research methodology enables researchers to generate new knowledge and to contribute to the body of knowledge in their field. It provides a means for testing hypotheses, exploring new ideas, and discovering new insights.
• To inform decision-making: Research methodology provides evidence-based information that can inform policy and decision-making in a variety of fields, including medicine, public health, education, and business.

Advantages of Research Methodology

Research methodology has several advantages that make it a valuable tool for conducting research in various fields. Here are some of the key advantages of research methodology:

• Systematic and structured approach : Research methodology provides a systematic and structured approach to conducting research, which ensures that the research is conducted in a rigorous and comprehensive manner.
• Objectivity : Research methodology aims to ensure objectivity in the research process, which means that the research findings are based on evidence and not influenced by personal bias or subjective opinions.
• Replicability : Research methodology ensures that research can be replicated by other researchers, which is essential for validating research findings and ensuring their accuracy.
• Reliability : Research methodology aims to ensure that the research findings are reliable, which means that they are consistent and can be depended upon.
• Validity : Research methodology ensures that the research findings are valid, which means that they accurately reflect the research question or hypothesis being tested.
• Efficiency : Research methodology provides a structured and efficient way of conducting research, which helps to save time and resources.
• Flexibility : Research methodology allows researchers to choose the most appropriate research methods and techniques based on the research question, data availability, and other relevant factors.
• Scope for innovation: Research methodology provides scope for innovation and creativity in designing research studies and developing new research techniques.

Research Methodology Vs Research Methods

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Capstone Components

13 Methodology

The story continues….

The following morning, Harry went over to Physicus’ house.

“Here are our research questions,” said Physicus, “1 – How many mice will Pickles attack at one time? and 2 – How many mice in the room cause Pickles not to attack?”

Harry exclaimed excitedly. “Since we need to count the number of mice when Pickles attacks, and when he does not, we know we have a quantitative research design! I’m ready to answer our questions.”

“Hold on a minute, Harry,” Physicus chuckled. “We have to write out our steps first. Our methodology has to be written out like a recipe, step by step. This way, someone else could copy what we did to study their cat. Let’s start writing down exactly what we want to do.”

So, Harry and Physicus went to work writing down the steps they would take to gather data.

Like my favorite lasagna recipe, thought Harry, step by step. I can definitely do this!

Interpreting the Story

The friends were quickly able to determine how they will collect the data. Since both research questions involved number of mice, their questions are answered by counting mice.  All they need to do now is list the steps the friends will take to collect the data and analyze the results. The steps and sequence for how the data are collected and analyzed are called the methodology.

Methodology

The Methodology heading explains the specific steps followed in collecting the data and analyzing it. The writing describes each stage of data collection and data analysis and justifies the procedures in terms of validity (soundness) and reliability (consistency). The writing is descriptive, explanatory, and highly specific. This heading must be written in such a way that any researcher could duplicate the collection and analysis of the data. Specificity is the key to writing the Methodology.

The Methodology heading can be compared to a recipe, a sequence of steps that if followed will produce the same outcome. Hence, in the research project, the Methodology functions as a roadmap for conducting active research to answer the research or guiding questions. It is written in such a way that another researcher can replicate the process and achieve the same results, thereby making the process verifiable. By presenting and justifying a sound methodology, the conclusions are considered sound. Illogical, unsound, unacceptable, or unreliable methodologies result in unreliable conclusions. The writing explains how and why the procedures effectively answer the questions and fulfills the purpose.

Participants and Environment

The participants are described in a heading in the Methodology. In this heading, the characteristics of the participants are clearly defined, and any unique characteristics are highlighted. For example, the participants are fourth-grade teachers with at least two years of experience. The reason for having fourth-grade teachers with at least two years of experience as participants must be explained. The writing also notes any characteristics of the participants that are excluded and explains why.

The heading also explains the specific research environment. The research environment refers to the specific setting in which the data are collected. The research environment does not refer to the setting of the overall research story, like “elementary school.”  For example, if a study was conducted with elementary school teachers via a focus group that met in the library, a description of the library setting during the focus group would be explained. As with the description of the participants, the research environment is written in such a way that another researcher could replicate the environment. This means that any key or unique features are identified.

Data Collection

The data collection procedures are detailed in a heading in the Methodology. Each step in the process is described including, when, where, and how the data were collected. The writing explains the role of the researcher and the participants including any ethical concerns or limitations of the process. The procedures are written in the order in which they were carried out to ensure the procedures can be replicated.

Quantitative data are collected from a variety of sources, including surveys, observations, interviews, and documents. Numerical data are collected by counting or measuring. Data may be collected by the researcher, like counting the number of mice from our story. Data may also be obtained from documents, such as grades, district graduation rates, or ACT scores.  The numeric data are entered into a spreadsheet or statistical software package for analysis.

Qualitative data are collected by the researcher through surveys, observations, interviews, focus groups, and documents. Data are collected in the form of words, phrases, or paragraphs from sources including media or interview transcriptions, anecdotal or observational records, archived documents, and surveys. Collected data are coded by the researcher or entered into a qualitative software package for analysis.

Data Analysis

The data analysis procedures are explained in a separate heading in the Methodology.  The procedures for categorizing, manipulating, and evaluating the collected data are explained in this heading. Each statistical analysis and coding procedure is detailed. The writing also explains the relevance and the need for the procedures used to answer the research or guiding questions.

Quantitative data analysis methods include descriptive and inferential statistics as well as other counting and measuring calculations. Descriptive analyses produce results that summarize and describe the data collected, such as frequency of observed behaviors, number of mice encountered, mean GPA, or median test score. Inferential analyses produce results that predict or explain the association of two variables. For example, regression statistics can predict college success, or correlational statistics can calculate how closely test scores are related to the amount of time spent studying.

Content and thematic analyses are common for qualitative data analysis in educational research. Content analysis is used to identify patterns in documents or other sources of communication, like speeches. Words, phrases, images, etc. are coded (categorized) with words or phrases and then analyzed by finding the frequency of those codes in the content. Thematic analysis is similar to content analysis, but the goal is to identify patterns of meaning. Thematic analysis is best for interviews or focus group transcripts, where the meaning of what was communicated is the important feature. Content and thematic analyses help researchers find patterns and deeper meanings in specific educational contexts.

TELLING THE RESEARCH STORY

The Methodology is a play-by-play recollection of how data were obtained, who was involved and where, and what was done with the data. The setting and characters that are part of this expedition are depicted and the actions taken are explained. It tells what happened to the characters in the setting and details the journey in search of answers to the questions. The story chronicles the quest, describing every detail.

The heading continues the rising action of the research story. The writer details the quest and explains the choices behind the paths taken. The anticipation builds in this part of the story as the reader is enticed to find out the results, which is the climax of the research story.

The Methodology is in Chapter 2 of capstone projects. In the capstone project, the Methodology details the procedures used in conducting a needs assessment.

Capstone Projects in Education: Learning the Research Story Copyright © 2023 by Kimberly Chappell and Greg I. Voykhansky is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

15 Research Methodology Examples

Research methodologies can roughly be categorized into three group: quantitative, qualitative, and mixed-methods.

• Qualitative Research : This methodology is based on obtaining deep, contextualized, non-numerical data. It can occur, for example, through open-ended questioning of research particiapnts in order to understand human behavior. It’s all about describing and analyzing subjective phenomena such as emotions or experiences.
• Quantitative Research: This methodology is rationally-based and relies heavily on numerical analysis of empirical data . With quantitative research, you aim for objectivity by creating hypotheses and testing them through experiments or surveys, which allow for statistical analyses.
• Mixed-Methods Research: Mixed-methods research combines both previous types into one project. We have more flexibility when designing our research study with mixed methods since we can use multiple approaches depending on our needs at each time. Using mixed methods can help us validate our results and offer greater predictability than just either type of methodology alone could provide.

Below are research methodologies that fit into each category.

Qualitative Research Methodologies

1. case study.

Conducts an in-depth examination of a specific case, individual, or event to understand a phenomenon.

Instead of examining a whole population for numerical trend data, case study researchers seek in-depth explanations of one event.

The benefit of case study research is its ability to elucidate overlooked details of interesting cases of a phenomenon (Busetto, Wick & Gumbinger, 2020). It offers deep insights for empathetic, reflective, and thoughtful understandings of that phenomenon.

However, case study findings aren’t transferrable to new contexts or for population-wide predictions. Instead, they inform practitioner understandings for nuanced, deep approaches to future instances (Liamputtong, 2020).

2. Grounded Theory

Grounded theory involves generating hypotheses and theories through the collection and interpretation of data (Faggiolani, n.d.). Its distinguishing features is that it doesn’t test a hypothesis generated prior to analysis, but rather generates a hypothesis or ‘theory’ that emerges from the data.

It also involves the application of inductive reasoning and is often contrasted with the hypothetico-deductive model of scientific research. This research methodology was developed by Barney Glaser and Anselm Strauss in the 1960s (Glaser & Strauss, 2009). 

The basic difference between traditional scientific approaches to research and grounded theory is that the latter begins with a question, then collects data, and the theoretical framework is said to emerge later from this data.

By contrast, scientists usually begin with an existing theoretical framework , develop hypotheses, and only then start collecting data to verify or falsify the hypotheses.

3. Ethnography

In ethnographic research , the researcher immerses themselves within the group they are studying, often for long periods of time.

This type of research aims to understand the shared beliefs, practices, and values of a particular community by immersing the researcher within the cultural group.

Although ethnographic research cannot predict or identify trends in an entire population, it can create detailed explanations of cultural practices and comparisons between social and cultural groups.

When a person conducts an ethnographic study of themselves or their own culture, it can be considered autoethnography .

Its strength lies in producing comprehensive accounts of groups of people and their interactions.

Common methods researchers use during an ethnographic study include participant observation , thick description, unstructured interviews, and field notes vignettes. These methods can provide detailed and contextualized descriptions of their subjects.

Example Study

Liquidated: An Ethnography of Wall Street by Karen Ho involves an anthropologist who embeds herself with Wall Street firms to study the culture of Wall Street bankers and how this culture affects the broader economy and world.

4. Phenomenology

Phenomenology to understand and describe individuals’ lived experiences concerning a specific phenomenon.

As a research methodology typically used in the social sciences , phenomenology involves the study of social reality as a product of intersubjectivity (the intersection of people’s cognitive perspectives) (Zahavi & Overgaard, n.d.).

This philosophical approach was first developed by Edmund Husserl.

5. Narrative Research

Narrative research explores personal stories and experiences to understand their meanings and interpretations.

It is also known as narrative inquiry and narrative analysis(Riessman, 1993).

This approach to research uses qualitative material like journals, field notes, letters, interviews, texts, photos, etc., as its data.

It is aimed at understanding the way people create meaning through narratives (Clandinin & Connelly, 2004).

6. Discourse Analysis

A discourse analysis examines the structure, patterns, and functions of language in context to understand how the text produces social constructs.

This methodology is common in critical theory , poststructuralism , and postmodernism. Its aim is to understand how language constructs discourses (roughly interpreted as “ways of thinking and constructing knowledge”).

As a qualitative methodology , its focus is on developing themes through close textual analysis rather than using numerical methods. Common methods for extracting data include semiotics and linguistic analysis.

7. Action Research

Action research involves researchers working collaboratively with stakeholders to address problems, develop interventions, and evaluate effectiveness.

Action research is a methodology and philosophy of research that is common in the social sciences.

The term was first coined in 1944 by Kurt Lewin, a German-American psychologist who also introduced applied research and group communication (Altrichter & Gstettner, 1993).

Lewin originally defined action research as involving two primary processes: taking action and doing research (Lewin, 1946).

Action research involves planning, action, and information-seeking about the result of the action.

Since Lewin’s original formulation, many different theoretical approaches to action research have been developed. These include action science, participatory action research, cooperative inquiry, and living educational theory among others.

Using Digital Sandbox Gaming to Improve Creativity Within Boys’ Writing (Ellison & Drew, 2019) is a study conducted by a school teacher who used video games to help teach his students English. It involved action research, where he interviewed his students to see if the use of games as stimuli for storytelling helped draw them into the learning experience, and iterated on his teaching style based on their feedback (disclaimer: I am the second author of this study).

See More: Examples of Qualitative Research

Quantitative Research Methodologies

8. experimental design.

As the name suggests, this type of research is based on testing hypotheses in experimental settings by manipulating variables and observing their effects on other variables.

The main benefit lies in its ability to manipulate specific variables to determine their effect on outcomes which is a great method for those looking for causational links in their research.

This is common, for example, in high-school science labs, where students are asked to introduce a variable into a setting in order to examine its effect.

9. Non-Experimental Design

Non-experimental design observes and measures associations between variables without manipulating them.

It can take, for example, the form of a ‘fly on the wall’ observation of a phenomenon, allowing researchers to examine authentic settings and changes that occur naturally in the environment.

10. Cross-Sectional Design

Cross-sectional design involves analyzing variables pertaining to a specific time period and at that exact moment.

This approach allows for an extensive examination and comparison of distinct and independent subjects, thereby offering advantages over qualitative methodologies such as case studies or surveys.

While cross-sectional design can be extremely useful in taking a ‘snapshot in time’, as a standalone method, it is not useful for examining changes in subjects after an intervention. The next methodology addresses this issue.

The prime example of this type of study is a census. A population census is mailed out to every house in the country, and each household must complete the census on the same evening. This allows the government to gather a snapshot of the nation’s demographics, beliefs, religion, and so on.

11. Longitudinal Design

Longitudinal research gathers data from the same subjects over an extended period to analyze changes and development.

In contrast to cross-sectional tactics, longitudinal designs examine variables more than once, over a pre-determined time span, allowing for multiple data points to be taken at different times.

A cross-sectional design is also useful for examining cohort effects , by comparing differences or changes in multiple different generations’ beliefs over time.

With multiple data points collected over extended periods ,it’s possible to examine continuous changes within things like population dynamics or consumer behavior. This makes detailed analysis of change possible.

12. Quasi-Experimental Design

Quasi-experimental design involves manipulating variables for analysis, but uses pre-existing groups of subjects rather than random groups.

Because the groups of research participants already exist, they cannot be randomly assigned to a cohort as with a true experimental design study. This makes inferring a causal relationship more difficult, but is nonetheless often more feasible in real-life settings.

Quasi-experimental designs are generally considered inferior to true experimental designs.

13. Correlational Research

Correlational research examines the relationships between two or more variables, determining the strength and direction of their association.

Similar to quasi-experimental methods, this type of research focuses on relationship differences between variables.

This approach provides a fast and easy way to make initial hypotheses based on either positive or negative correlation trends that can be observed within dataset.

Methods used for data analysis may include statistic correlations such as Pearson’s or Spearman’s.

Mixed-Methods Research Methodologies

14. sequential explanatory design (quan→qual).

This methodology involves conducting quantitative analysis first, then supplementing it with a qualitative study.

It begins by collecting quantitative data that is then analyzed to determine any significant patterns or trends.

Secondly, qualitative methods are employed. Their intent is to help interpret and expand the quantitative results.

This offers greater depth into understanding both large and smaller aspects of research questions being addressed.

The rationale behind this approach is to ensure that your data collection generates richer context for gaining insight into the particular issue across different levels, integrating in one study, qualitative exploration as well as statistical procedures.

15. Sequential Exploratory Design (QUAL→QUAN)

This methodology goes in the other direction, starting with qualitative analysis and ending with quantitative analysis.

It starts with qualitative research that delves deeps into complex areas and gathers rich information through interviewing or observing participants.

After this stage of exploration comes to an end, quantitative techniques are used to analyze the collected data through inferential statistics.

The idea is that a qualitative study can arm the researchers with a strong hypothesis testing framework, which they can then apply to a larger sample size using qualitative methods.

When I first took research classes, I had a lot of trouble distinguishing between methodologies and methods.

The key is to remember that the methodology sets the direction, while the methods are the specific tools to be used. A good analogy is transport: first you need to choose a mode (public transport, private transport, motorized transit, non-motorized transit), then you can choose a tool (bus, car, bike, on foot).

While research methodologies can be split into three types, each type has many different nuanced methodologies that can be chosen, before you then choose the methods – or tools – to use in the study. Each has its own strengths and weaknesses, so choose wisely!

Altrichter, H., & Gstettner, P. (1993). Action Research: A closed chapter in the history of German social science? Educational Action Research , 1 (3), 329–360. https://doi.org/10.1080/0965079930010302

Audi, R. (1999). The Cambridge dictionary of philosophy . Cambridge ; New York : Cambridge University Press. http://archive.org/details/cambridgediction00audi

Clandinin, D. J., & Connelly, F. M. (2004). Narrative Inquiry: Experience and Story in Qualitative Research . John Wiley & Sons.

Creswell, J. W. (2008). Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research . Pearson/Merrill Prentice Hall.

Faggiolani, C. (n.d.). Perceived Identity: Applying Grounded Theory in Libraries . https://doi.org/10.4403/jlis.it-4592

Gauch, H. G. (2002). Scientific Method in Practice . Cambridge University Press.

Glaser, B. G., & Strauss, A. L. (2009). The Discovery of Grounded Theory: Strategies for Qualitative Research . Transaction Publishers.

Kothari, C. R. (2004). Research Methodology: Methods and Techniques . New Age International.

Kuada, J. (2012). Research Methodology: A Project Guide for University Students . Samfundslitteratur.

Lewin, K. (1946). Action research and minority problems. Journal of Social Issues , 2,  4 , 34–46. https://doi.org/10.1111/j.1540-4560.1946.tb02295.x

Mills, J., Bonner, A., & Francis, K. (2006). The Development of Constructivist Grounded Theory. International Journal of Qualitative Methods , 5 (1), 25–35. https://doi.org/10.1177/160940690600500103

Mingers, J., & Willcocks, L. (2017). An integrative semiotic methodology for IS research. Information and Organization , 27 (1), 17–36. https://doi.org/10.1016/j.infoandorg.2016.12.001

OECD. (2015). Frascati Manual 2015: Guidelines for Collecting and Reporting Data on Research and Experimental Development . Organisation for Economic Co-operation and Development. https://www.oecd-ilibrary.org/science-and-technology/frascati-manual-2015_9789264239012-en

Peirce, C. S. (1992). The Essential Peirce, Volume 1: Selected Philosophical Writings (1867–1893) . Indiana University Press.

Reese, W. L. (1980). Dictionary of Philosophy and Religion: Eastern and Western Thought . Humanities Press.

Riessman, C. K. (1993). Narrative analysis . Sage Publications, Inc.

Saussure, F. de, & Riedlinger, A. (1959). Course in General Linguistics . Philosophical Library.

Thomas, C. G. (2021). Research Methodology and Scientific Writing . Springer Nature.

Zahavi, D., & Overgaard, S. (n.d.). Phenomenological Sociology—The Subjectivity of Everyday Life .

Tio Gabunia (B.Arch, M.Arch)

Tio Gabunia is an academic writer and architect based in Tbilisi. He has studied architecture, design, and urban planning at the Georgian Technical University and the University of Lisbon. He has worked in these fields in Georgia, Portugal, and France. Most of Tio’s writings concern philosophy. Other writings include architecture, sociology, urban planning, and economics.

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Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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• Project management |
• Project management methodologies: 12 po ...

Project management methodologies: 12 popular frameworks

Project management is an ever-evolving field that requires a number of approaches to be successful. Learning the most popular project management methodologies can help you become an industry expert. 

In order to be the best possible project manager , learn about each of these 12 frameworks to find the one that best fits your team’s needs. 

12 project management frameworks

What it is: The Agile project management methodology is one of the most common project management processes. But the reality is that Agile isn’t technically a methodology. Instead, it’s best defined as a project management principle. 

The basis of an Agile approach is:

Collaborative

Fast and effective

Iterative and data-backed

Values individuals over processes

When it comes to putting the Agile manifesto in place, teams often choose specific methodologies to use alongside Agile. These could include Scrum, Kanban, extreme programming, crystal, or even Scrumban . That's because connecting Agile methodology with a more detailed approach produces a well-rounded project management philosophy and a tangible plan for delivering great work. 

Who should use it: The Agile framework can be used for just about any team. This is because the principle behind it is rather universal. The real trick is deciding which methodology to use with it.

2. Waterfall

What it is: The waterfall model is also a very popular framework. But unlike Agile, waterfall is an actual methodology that is rather straightforward. The waterfall methodology , also known as software development life cycle (SDLC), is a linear process in which work cascades down (similar to a waterfall) and is organized in sequential order. 

To achieve this approach, each work task is connected by a dependency. This means each task must be completed before the next task can be started. Not only does this ensure that work stays on track, but it also fosters clear communication throughout the process. 

While viewed as a traditional approach by some modern organizations, this method is good for creating a predictable and thoroughly planned-out project plan . 

Who should use it: Since the waterfall project management methodology is so detailed, it’s great for working on large projects with multiple different stakeholders. This is because there are clear steps throughout the project and dependencies that help track the work needed to reach goals. 

What it is: The Scrum methodology involves short “sprints” that are used to create a project cycle. These cycles span one to two weeks at a time and are organized with teams of 10 or less. This is different from the waterfall approach where individual tasks are broken down into dependencies.

Scum is unique for a variety of reasons, one being the use of a Scrum master. Or, in other words, a project manager that leads daily Scrum meetings, demos, sprints, and sprint retrospectives after each sprint is completed. These meetings aim to connect project stakeholders and ensure tasks are completed on time. 

While Scrum is technically a project management methodology in its own right, it’s most commonly associated with an Agile framework. This is because they share similar principles, such as collaboration and valuing individuals over processes. 

Who should use it: Teams that use an Agile approach should use, or at least try, the Scrum methodology as well. Since sprints are divided into small teams, this approach can work for both small and large teams. 

What it is: The Kanban methodology represents project backlogs using visual elements, specifically boards. This approach is used by Agile teams to better visualize workflows and project progress while decreasing the likelihood of bottlenecks. It’s also usually in the form of a software tool that allows you to change and drag boards seamlessly within projects, though it’s not a requirement. 

Since this method doesn’t have a defined process like others, many teams use it differently. The main concept to keep in mind is that Kanban aims to focus on the most important project tasks, keeping the overall framework simple.

Who should use it: Kanban boards are great for teams of all sizes and specifically remote-first teams. This is because the visual capabilities of Kanban boards help team members stay on track no matter where they are. 

5. Scrumban

What it is: As you may have guessed, Scrumban is a methodology that draws inspiration from both Scrum and Kanban frameworks. Some think of this as a hybrid approach that incorporates the best of each. 

Scrumban uses a similar sprint cycle as Scrum but allows individual tasks to be pulled into the plan like Kanban. This allows the most important work to be completed and keeps project plans simple. Scrumban also uses Scrum meetings to enhance collaboration and keep goals top of mind. 

Who should use it: If you like the idea of breaking down a project into smaller tasks, but likewise want to keep it visually simple, Scrumban might be for you. It’s the perfect intersection of simplicity and clarity.  

What it is: PRINCE2 , otherwise known as PR ojects IN C ontrolled E nvironments, uses the overarching waterfall methodology to define stages within a project. It was initially created by the UK government for IT projects and still primarily suits large IT initiatives over the traditional product or market-focused projects. 

There are seven main principles of PRINCE2, which include:

Starting a project

Directing a project

Initiating a project

Controlling a project

Managing product delivery

Managing a stage boundary

Closing a project

These seven principles create a thorough project process and make for an effective enterprise project methodology altogether. It aims to define roles and back management. Not only that, but PRINCE2 can be used to streamline a ton of individual project management tasks, like controlling a stage, managing product delivery, and initiating and closing a project. 

Who should use it: Due to the particular nature of the PRINCE2 project management methodology, it’s best suited for large enterprise projects with a number of project stakeholders . Using it for small projects may create a longer and more complicated process than necessary. 

7. Six Sigma

What it is: Unlike the other PM methodologies, Six Sigma is used for quality management and is frequently described as a philosophy rather than a traditional methodology. It is often paired with either a lean methodology or Agile framework, otherwise known as lean Six Sigma and Agile Six Sigma. 

The main purpose of Six Sigma is to continuously improve processes and eliminate defects. This is achieved through continuous improvements by field experts to sustain, define, and control processes. 

To take this method one step further, you can use a Six Sigma DMAIC process, which creates a phased approach. These phases include:

Define: Create a project scope , business case , and initial stand-up meeting.

Measure: Collect data that helps inform improvement needs.

Analyze: Identify the root causes of problems. 

Improve: Solve the root causes found.

Control: Work to sustain the solutions for future projects. 

Who should use it: Six Sigma is best for large organizations, usually those with a few hundred employees or more. This is when the need to eliminate project waste starts to have a larger impact on your organization. 

8. Critical path method (CPM)

What it is: The critical path method works to identify and schedule critical tasks within a project. This includes creating task dependencies, tracking project goals and progress, prioritizing deliverables , and managing due dates—all of which are similar to a work breakdown structure .

The objective of this methodology is to properly manage successful projects at scale so that milestones and deliverables are mapped correctly. 

Who should use it: The critical path method is best for small and mid-size projects and teams. This is because large projects require many deliverables with multiple stakeholders and the CPM isn’t built to manage complex projects. 

9. Critical chain project management (CCPM)

What it is: The critical chain project management framework is closely related to the critical path methodology but is even more detailed, making it one of the most comprehensive options. 

Along with implementing a work breakdown structure like CPM, CCPM includes specific time requirements for each task. This helps take task tracking one step further, making it clear when tasks are going over their allotted time. It also uses resource leveling which aims to resolve large workloads by distributing work across available resources. 

Not only do these help both productivity and efficiency, but they also help connect the work needed to be completed with project goals. Many project management tools even have visual elements to better visualize these goals, creating an organized road map for team members. 

Who should use it: CCPM is a great method for both small and large teams, but it mostly helps solve project efficiency problems . It can also be a great way to report work in progress to leadership. 

What it is: The lean project management methodology aims to cut waste and create a simple framework for project needs. This ultimately means doing more with less in order to maximize efficiency and teamwork. 

While reducing waste originally referred to a physical product (which dates back to the method used by Henry Ford and later by Toyota and Motorola), it now refers to wasteful practices. There are three Ms that represent this:

Muda (wastefulness): Practices that consume resources but don’t add value  

Mura (unevenness): Occurs through overproduction and leaves behind waste 

Muri (overburden): Occurs when there is too much strain on resources  

As a project manager, your job is to prevent the three Ms in order to better execute projects and streamline processes. This is similar to the approach of rational unified process (RUP), which also aims to reduce waste. The difference is that RUP aims to reduce development costs instead of wasteful practices. 

Who should use it: Since lean is all about reducing waste, it’s best suited for teams struggling with efficiency issues. While this will have a greater impact on large organizations, it can be helpful for project teams of all sizes. 

11. Project management institute’s PMBOK® Guide

What it is: While the PMI’s Project Management Body of Knowledge is associated as a project management methodology, it’s more closely related to a set of best practices that take into account various development processes. 

This framework focuses on implementing the five project management phases , all of which help easily manage a project from start to finish in a structured phase approach. The five phases include:

Project initiation

Project planning

Project executing

Project performance

Project closure

While this is a good foundation to keep in mind, the PMBOK® Guide isn’t necessarily as specific as other approaches. This means you’ll need to decide which tasks to complete in each phase. 

Who should use it: The PMBOK® Guide can be used on its own for small teams on standard projects, though it’s a good idea to pair it with a more detailed methodology (like CPM) for large teams handling complex projects. 

12. Extreme programming (XP)

What it is: As the name suggests, extreme programming is used for fast-paced projects with tight deadlines. The approach works by creating short development cycles with many releases. This makes for quick turnaround times and increased productivity . 

Extreme programming has a few core values, which include simplicity, communication, feedback, respect, and courage. It also includes a specific set of XP rules which includes all phases from planning to testing. 

Who should use it: Extreme programming can be used for individual projects with tight deadlines, most commonly with small to midsize teams. Since XP is a fast-paced method, it should be used lightly in order to prevent burnout . 

Choosing the right project management methodology for your team

There is no one-size-fits-all approach when it comes to project management methodologies. Each one offers unique principles to take a development project from an initial plan to final execution. 

The main aspects to keep in mind are the size of your team and how your team prefers to work. Here are some additional tips to consider:

Your industry : Consider if you’re in an industry that changes frequently. For example, a technology company would be an industry that is ever-evolving. This will affect project consistency and should be paired with either a flexible or stagnant methodology. 

Your project focus : Consider the objectives of your projects . Do you value people over efficiency? This will help pair you with a methodology that matches a similar objective. 

The complexity of projects : Are your projects on the more complex side, or are they usually straightforward? Some methods aren’t as good as others at organizing complex tasks, such a CCPM.

The specialization of roles : Consider how niche the roles within your team are. Can multiple team members alternate the same type of work, or do you need a method that focuses on specialization?

Your organization’s size : The size of your organization and team should be weighed heavily when deciding on a methodology. Methods like Kanban are universal for team size, while options like CPM are better suited for small teams. 

Whether your team members prefer a visual process like Kanban or a more traditional project management approach like the waterfall method, there’s an option for every type of team. To take a project management methodology one step further, consider a work management tool to better track and execute development projects. 

Methods to manage your projects mindfully

With the right project management methodology in place, you’ll be able to take your projects to new levels of efficiency and implement processes that are right for your team, your organization, and yourself.

Related resources

Unmanaged business goals don’t work. Here’s what does.

How Asana uses work management to drive product development

How Asana uses work management to streamline project intake processes

How Asana uses work management for smoother creative production

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Examples of Student Research Projects

What’s Included: Methodology Template

This template covers all the core components required in the research methodology chapter or section of a typical dissertation or thesis, including:

• The opening section
• Research philosophy
• Research type
• Research strategy
• Time horizon
• Sampling strategy
• Data collection methods
• Data analysis methods
• Conclusion & summary

The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what’s required, along with links to additional free resources (articles, videos, etc.) to help you along your research journey.

The cleanly-formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

PS – if you’d like a high-level template for the entire thesis, you can we’ve got that too .

What format is the template (DOC, PDF, PPT, etc.)?

The methodology chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

What types of dissertations/theses can this template be used for?

The methodology template follows the standard format for academic research projects, which means it will be suitable for the vast majority of dissertations and theses (especially those within the sciences), whether they adopt a qualitative, quantitative, or mixed-methods approach. The template is loosely based on Saunders’ research onion , which is recommended as a methodological framework by many universities.

Keep in mind that the exact requirements for the methodology chapter/section will vary between universities and degree programs. These are typically minor, but it’s always a good idea to double-check your university’s requirements before you finalize your structure.

Is this template for an undergrad, Master or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require the methodology chapter to be more extensive/comprehensive, but the structure will typically remain the same.

How long should the methodology chapter be?

This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate. 

How detailed should my methodology be?

As a rule of thumb, you should provide enough detail for another researcher to replicate your study. This includes clear descriptions of procedures, tools, and techniques you used to collect and analyse your data, as well as your sampling approach.

How technical should my language be in this chapter?

In the methodology chapter, your language should be technical enough to accurately convey your research methods and processes, but also clear and precise to ensure it’s accessible to readers within your field.

Aim for a balance where the technical aspects of your methods are thoroughly explained without overusing jargon or overly complex language.

Should I include a pilot study in my methodology?

If you conducted a pilot study, you can include it in the methodology to demonstrate the feasibility and refinement of your methods. Be sure to obtain the necessary permissions from your research advisor before conducting any pilot studies, though. 

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, we kindly request that you reference this page as your source.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my methodology?

Yes, we can assist with your methodology chapter (or any other chapter) on a coaching basis. If you’re interested, feel free to get in touch to discuss our private coaching services .

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• How to write an APA methods section

How to Write an APA Methods Section | With Examples

Published on February 5, 2021 by Pritha Bhandari . Revised on June 22, 2023.

The methods section of an APA style paper is where you report in detail how you performed your study. Research papers in the social and natural sciences often follow APA style. This article focuses on reporting quantitative research methods .

In your APA methods section, you should report enough information to understand and replicate your study, including detailed information on the sample , measures, and procedures used.

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Table of contents

Structuring an apa methods section.

Participants

Example of an APA methods section

Other interesting articles, frequently asked questions about writing an apa methods section.

The main heading of “Methods” should be centered, boldfaced, and capitalized. Subheadings within this section are left-aligned, boldfaced, and in title case. You can also add lower level headings within these subsections, as long as they follow APA heading styles .

To structure your methods section, you can use the subheadings of “Participants,” “Materials,” and “Procedures.” These headings are not mandatory—aim to organize your methods section using subheadings that make sense for your specific study.

Note that not all of these topics will necessarily be relevant for your study. For example, if you didn’t need to consider outlier removal or ways of assigning participants to different conditions, you don’t have to report these steps.

The APA also provides specific reporting guidelines for different types of research design. These tell you exactly what you need to report for longitudinal designs , replication studies, experimental designs , and so on. If your study uses a combination design, consult APA guidelines for mixed methods studies.

Detailed descriptions of procedures that don’t fit into your main text can be placed in supplemental materials (for example, the exact instructions and tasks given to participants, the full analytical strategy including software code, or additional figures and tables).

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Begin the methods section by reporting sample characteristics, sampling procedures, and the sample size.

Participant or subject characteristics

When discussing people who participate in research, descriptive terms like “participants,” “subjects” and “respondents” can be used. For non-human animal research, “subjects” is more appropriate.

Specify all relevant demographic characteristics of your participants. This may include their age, sex, ethnic or racial group, gender identity, education level, and socioeconomic status. Depending on your study topic, other characteristics like educational or immigration status or language preference may also be relevant.

Be sure to report these characteristics as precisely as possible. This helps the reader understand how far your results may be generalized to other people.

The APA guidelines emphasize writing about participants using bias-free language , so it’s necessary to use inclusive and appropriate terms.

Sampling procedures

Outline how the participants were selected and all inclusion and exclusion criteria applied. Appropriately identify the sampling procedure used. For example, you should only label a sample as random  if you had access to every member of the relevant population.

Of all the people invited to participate in your study, note the percentage that actually did (if you have this data). Additionally, report whether participants were self-selected, either by themselves or by their institutions (e.g., schools may submit student data for research purposes).

Identify any compensation (e.g., course credits or money) that was provided to participants, and mention any institutional review board approvals and ethical standards followed.

Sample size and power

Detail the sample size (per condition) and statistical power that you hoped to achieve, as well as any analyses you performed to determine these numbers.

It’s important to show that your study had enough statistical power to find effects if there were any to be found.

Additionally, state whether your final sample differed from the intended sample. Your interpretations of the study outcomes should be based only on your final sample rather than your intended sample.

Write up the tools and techniques that you used to measure relevant variables. Be as thorough as possible for a complete picture of your techniques.

Primary and secondary measures

Define the primary and secondary outcome measures that will help you answer your primary and secondary research questions.

Specify all instruments used in gathering these measurements and the construct that they measure. These instruments may include hardware, software, or tests, scales, and inventories.

• To cite hardware, indicate the model number and manufacturer.
• To cite common software (e.g., Qualtrics), state the full name along with the version number or the website URL .
• To cite tests, scales or inventories, reference its manual or the article it was published in. It’s also helpful to state the number of items and provide one or two example items.

Make sure to report the settings of (e.g., screen resolution) any specialized apparatus used.

For each instrument used, report measures of the following:

• Reliability : how consistently the method measures something, in terms of internal consistency or test-retest reliability.
• Validity : how precisely the method measures something, in terms of construct validity  or criterion validity .

Giving an example item or two for tests, questionnaires , and interviews is also helpful.

Describe any covariates—these are any additional variables that may explain or predict the outcomes.

Quality of measurements

Review all methods you used to assure the quality of your measurements.

These may include:

• training researchers to collect data reliably,
• using multiple people to assess (e.g., observe or code) the data,
• translation and back-translation of research materials,
• using pilot studies to test your materials on unrelated samples.

For data that’s subjectively coded (for example, classifying open-ended responses), report interrater reliability scores. This tells the reader how similarly each response was rated by multiple raters.

Report all of the procedures applied for administering the study, processing the data, and for planned data analyses.

Data collection methods and research design

Data collection methods refers to the general mode of the instruments: surveys, interviews, observations, focus groups, neuroimaging, cognitive tests, and so on. Summarize exactly how you collected the necessary data.

Describe all procedures you applied in administering surveys, tests, physical recordings, or imaging devices, with enough detail so that someone else can replicate your techniques. If your procedures are very complicated and require long descriptions (e.g., in neuroimaging studies), place these details in supplementary materials.

To report research design, note your overall framework for data collection and analysis. State whether you used an experimental, quasi-experimental, descriptive (observational), correlational, and/or longitudinal design. Also note whether a between-subjects or a within-subjects design was used.

For multi-group studies, report the following design and procedural details as well:

• how participants were assigned to different conditions (e.g., randomization),
• instructions given to the participants in each group,
• interventions for each group,
• the setting and length of each session(s).

Describe whether any masking was used to hide the condition assignment (e.g., placebo or medication condition) from participants or research administrators. Using masking in a multi-group study ensures internal validity by reducing research bias . Explain how this masking was applied and whether its effectiveness was assessed.

Participants were randomly assigned to a control or experimental condition. The survey was administered using Qualtrics (https://www.qualtrics.com). To begin, all participants were given the AAI and a demographics questionnaire to complete, followed by an unrelated filler task. In the control condition , participants completed a short general knowledge test immediately after the filler task. In the experimental condition, participants were asked to visualize themselves taking the test for 3 minutes before they actually did. For more details on the exact instructions and tasks given, see supplementary materials.

Data diagnostics

Outline all steps taken to scrutinize or process the data after collection.

This includes the following:

• Procedures for identifying and removing outliers
• Data transformations to normalize distributions
• Compensation strategies for overcoming missing values

To ensure high validity, you should provide enough detail for your reader to understand how and why you processed or transformed your raw data in these specific ways.

Analytic strategies

The methods section is also where you describe your statistical analysis procedures, but not their outcomes. Their outcomes are reported in the results section.

These procedures should be stated for all primary, secondary, and exploratory hypotheses. While primary and secondary hypotheses are based on a theoretical framework or past studies, exploratory hypotheses are guided by the data you’ve just collected.

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This annotated example reports methods for a descriptive correlational survey on the relationship between religiosity and trust in science in the US. Hover over each part for explanation of what is included.

The sample included 879 adults aged between 18 and 28. More than half of the participants were women (56%), and all participants had completed at least 12 years of education. Ethics approval was obtained from the university board before recruitment began. Participants were recruited online through Amazon Mechanical Turk (MTurk; www.mturk.com). We selected for a geographically diverse sample within the Midwest of the US through an initial screening survey. Participants were paid USD $5 upon completion of the study.

A sample size of at least 783 was deemed necessary for detecting a correlation coefficient of ±.1, with a power level of 80% and a significance level of .05, using a sample size calculator (www.sample-size.net/correlation-sample-size/).

The primary outcome measures were the levels of religiosity and trust in science. Religiosity refers to involvement and belief in religious traditions, while trust in science represents confidence in scientists and scientific research outcomes. The secondary outcome measures were gender and parental education levels of participants and whether these characteristics predicted religiosity levels.

Religiosity

Religiosity was measured using the Centrality of Religiosity scale (Huber, 2003). The Likert scale is made up of 15 questions with five subscales of ideology, experience, intellect, public practice, and private practice. An example item is “How often do you experience situations in which you have the feeling that God or something divine intervenes in your life?” Participants were asked to indicate frequency of occurrence by selecting a response ranging from 1 (very often) to 5 (never). The internal consistency of the instrument is .83 (Huber & Huber, 2012).

Trust in Science

Trust in science was assessed using the General Trust in Science index (McCright, Dentzman, Charters & Dietz, 2013). Four Likert scale items were assessed on a scale from 1 (completely distrust) to 5 (completely trust). An example question asks “How much do you distrust or trust scientists to create knowledge that is unbiased and accurate?” Internal consistency was .8.

Potential participants were invited to participate in the survey online using Qualtrics (www.qualtrics.com). The survey consisted of multiple choice questions regarding demographic characteristics, the Centrality of Religiosity scale, an unrelated filler anagram task, and finally the General Trust in Science index. The filler task was included to avoid priming or demand characteristics, and an attention check was embedded within the religiosity scale. For full instructions and details of tasks, see supplementary materials.

For this correlational study , we assessed our primary hypothesis of a relationship between religiosity and trust in science using Pearson moment correlation coefficient. The statistical significance of the correlation coefficient was assessed using a t test. To test our secondary hypothesis of parental education levels and gender as predictors of religiosity, multiple linear regression analysis was used.

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
• Social desirability bias

In your APA methods section , you should report detailed information on the participants, materials, and procedures used.

• Describe all relevant participant or subject characteristics, the sampling procedures used and the sample size and power .
• Define all primary and secondary measures and discuss the quality of measurements.
• Specify the data collection methods, the research design and data analysis strategy, including any steps taken to transform the data and statistical analyses.

You should report methods using the past tense , even if you haven’t completed your study at the time of writing. That’s because the methods section is intended to describe completed actions or research.

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.

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