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Research Methodology – Types, Examples and writing Guide

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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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Researcher, Academic Writer, Web developer

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How To Write The Methodology Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD) | Reviewed By: Dr. Eunice Rautenbach | September 2021 (Updated April 2023)

So, you’ve pinned down your research topic and undertaken a review of the literature – now it’s time to write up the methodology section of your dissertation, thesis or research paper . But what exactly is the methodology chapter all about – and how do you go about writing one? In this post, we’ll unpack the topic, step by step .

Overview: The Methodology Chapter

• The purpose  of the methodology chapter
• Why you need to craft this chapter (really) well
• How to write and structure the chapter
• Methodology chapter example
• Essential takeaways

What (exactly) is the methodology chapter?

The methodology chapter is where you outline the philosophical underpinnings of your research and outline the specific methodological choices you’ve made. The point of the methodology chapter is to tell the reader exactly how you designed your study and, just as importantly, why you did it this way.

Importantly, this chapter should comprehensively describe and justify all the methodological choices you made in your study. For example, the approach you took to your research (i.e., qualitative, quantitative or mixed), who  you collected data from (i.e., your sampling strategy), how you collected your data and, of course, how you analysed it. If that sounds a little intimidating, don’t worry – we’ll explain all these methodological choices in this post .

Why is the methodology chapter important?

The methodology chapter plays two important roles in your dissertation or thesis:

Firstly, it demonstrates your understanding of research theory, which is what earns you marks. A flawed research design or methodology would mean flawed results. So, this chapter is vital as it allows you to show the marker that you know what you’re doing and that your results are credible .

Secondly, the methodology chapter is what helps to make your study replicable. In other words, it allows other researchers to undertake your study using the same methodological approach, and compare their findings to yours. This is very important within academic research, as each study builds on previous studies.

The methodology chapter is also important in that it allows you to identify and discuss any methodological issues or problems you encountered (i.e., research limitations ), and to explain how you mitigated the impacts of these. Every research project has its limitations , so it’s important to acknowledge these openly and highlight your study’s value despite its limitations . Doing so demonstrates your understanding of research design, which will earn you marks. We’ll discuss limitations in a bit more detail later in this post, so stay tuned!

Need a helping hand?

How to write up the methodology chapter

First off, it’s worth noting that the exact structure and contents of the methodology chapter will vary depending on the field of research (e.g., humanities, chemistry or engineering) as well as the university . So, be sure to always check the guidelines provided by your institution for clarity and, if possible, review past dissertations from your university. Here we’re going to discuss a generic structure for a methodology chapter typically found in the sciences.

Before you start writing, it’s always a good idea to draw up a rough outline to guide your writing. Don’t just start writing without knowing what you’ll discuss where. If you do, you’ll likely end up with a disjointed, ill-flowing narrative . You’ll then waste a lot of time rewriting in an attempt to try to stitch all the pieces together. Do yourself a favour and start with the end in mind .

Section 1 – Introduction

As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims . As we’ve discussed many times on the blog, your methodology needs to align with your research aims, objectives and research questions. Therefore, it’s useful to frontload this component to remind the reader (and yourself!) what you’re trying to achieve.

In this section, you can also briefly mention how you’ll structure the chapter. This will help orient the reader and provide a bit of a roadmap so that they know what to expect. You don’t need a lot of detail here – just a brief outline will do.

Section 2 – The Methodology

The next section of your chapter is where you’ll present the actual methodology. In this section, you need to detail and justify the key methodological choices you’ve made in a logical, intuitive fashion. Importantly, this is the heart of your methodology chapter, so you need to get specific – don’t hold back on the details here. This is not one of those “less is more” situations.

Let’s take a look at the most common components you’ll likely need to cover. 

Methodological Choice #1 – Research Philosophy

Research philosophy refers to the underlying beliefs (i.e., the worldview) regarding how data about a phenomenon should be gathered , analysed and used . The research philosophy will serve as the core of your study and underpin all of the other research design choices, so it’s critically important that you understand which philosophy you’ll adopt and why you made that choice. If you’re not clear on this, take the time to get clarity before you make any further methodological choices.

While several research philosophies exist, two commonly adopted ones are positivism and interpretivism . These two sit roughly on opposite sides of the research philosophy spectrum.

Positivism states that the researcher can observe reality objectively and that there is only one reality, which exists independently of the observer. As a consequence, it is quite commonly the underlying research philosophy in quantitative studies and is oftentimes the assumed philosophy in the physical sciences.

Contrasted with this, interpretivism , which is often the underlying research philosophy in qualitative studies, assumes that the researcher performs a role in observing the world around them and that reality is unique to each observer . In other words, reality is observed subjectively .

These are just two philosophies (there are many more), but they demonstrate significantly different approaches to research and have a significant impact on all the methodological choices. Therefore, it’s vital that you clearly outline and justify your research philosophy at the beginning of your methodology chapter, as it sets the scene for everything that follows.

Methodological Choice #2 – Research Type

The next thing you would typically discuss in your methodology section is the research type. The starting point for this is to indicate whether the research you conducted is inductive or deductive .

Inductive research takes a bottom-up approach , where the researcher begins with specific observations or data and then draws general conclusions or theories from those observations. Therefore these studies tend to be exploratory in terms of approach.

Conversely , d eductive research takes a top-down approach , where the researcher starts with a theory or hypothesis and then tests it using specific observations or data. Therefore these studies tend to be confirmatory in approach.

Related to this, you’ll need to indicate whether your study adopts a qualitative, quantitative or mixed  approach. As we’ve mentioned, there’s a strong link between this choice and your research philosophy, so make sure that your choices are tightly aligned . When you write this section up, remember to clearly justify your choices, as they form the foundation of your study.

Methodological Choice #3 – Research Strategy

Next, you’ll need to discuss your research strategy (also referred to as a research design ). This methodological choice refers to the broader strategy in terms of how you’ll conduct your research, based on the aims of your study.

Several research strategies exist, including experimental , case studies , ethnography , grounded theory, action research , and phenomenology . Let’s take a look at two of these, experimental and ethnographic, to see how they contrast.

Experimental research makes use of the scientific method , where one group is the control group (in which no variables are manipulated ) and another is the experimental group (in which a specific variable is manipulated). This type of research is undertaken under strict conditions in a controlled, artificial environment (e.g., a laboratory). By having firm control over the environment, experimental research typically allows the researcher to establish causation between variables. Therefore, it can be a good choice if you have research aims that involve identifying causal relationships.

Ethnographic research , on the other hand, involves observing and capturing the experiences and perceptions of participants in their natural environment (for example, at home or in the office). In other words, in an uncontrolled environment.  Naturally, this means that this research strategy would be far less suitable if your research aims involve identifying causation, but it would be very valuable if you’re looking to explore and examine a group culture, for example.

As you can see, the right research strategy will depend largely on your research aims and research questions – in other words, what you’re trying to figure out. Therefore, as with every other methodological choice, it’s essential to justify why you chose the research strategy you did.

Methodological Choice #4 – Time Horizon

The next thing you’ll need to detail in your methodology chapter is the time horizon. There are two options here: cross-sectional and longitudinal . In other words, whether the data for your study were all collected at one point in time (cross-sectional) or at multiple points in time (longitudinal).

The choice you make here depends again on your research aims, objectives and research questions. If, for example, you aim to assess how a specific group of people’s perspectives regarding a topic change over time , you’d likely adopt a longitudinal time horizon.

Another important factor to consider is simply whether you have the time necessary to adopt a longitudinal approach (which could involve collecting data over multiple months or even years). Oftentimes, the time pressures of your degree program will force your hand into adopting a cross-sectional time horizon, so keep this in mind.

Methodological Choice #5 – Sampling Strategy

Next, you’ll need to discuss your sampling strategy . There are two main categories of sampling, probability and non-probability sampling.

Probability sampling involves a random (and therefore representative) selection of participants from a population, whereas non-probability sampling entails selecting participants in a non-random  (and therefore non-representative) manner. For example, selecting participants based on ease of access (this is called a convenience sample).

The right sampling approach depends largely on what you’re trying to achieve in your study. Specifically, whether you trying to develop findings that are generalisable to a population or not. Practicalities and resource constraints also play a large role here, as it can oftentimes be challenging to gain access to a truly random sample. In the video below, we explore some of the most common sampling strategies.

Methodological Choice #6 – Data Collection Method

Next up, you’ll need to explain how you’ll go about collecting the necessary data for your study. Your data collection method (or methods) will depend on the type of data that you plan to collect – in other words, qualitative or quantitative data.

Typically, quantitative research relies on surveys , data generated by lab equipment, analytics software or existing datasets. Qualitative research, on the other hand, often makes use of collection methods such as interviews , focus groups , participant observations, and ethnography.

So, as you can see, there is a tight link between this section and the design choices you outlined in earlier sections. Strong alignment between these sections, as well as your research aims and questions is therefore very important.

Methodological Choice #7 – Data Analysis Methods/Techniques

The final major methodological choice that you need to address is that of analysis techniques . In other words, how you’ll go about analysing your date once you’ve collected it. Here it’s important to be very specific about your analysis methods and/or techniques – don’t leave any room for interpretation. Also, as with all choices in this chapter, you need to justify each choice you make.

What exactly you discuss here will depend largely on the type of study you’re conducting (i.e., qualitative, quantitative, or mixed methods). For qualitative studies, common analysis methods include content analysis , thematic analysis and discourse analysis . In the video below, we explain each of these in plain language.

For quantitative studies, you’ll almost always make use of descriptive statistics , and in many cases, you’ll also use inferential statistical techniques (e.g., correlation and regression analysis). In the video below, we unpack some of the core concepts involved in descriptive and inferential statistics.

In this section of your methodology chapter, it’s also important to discuss how you prepared your data for analysis, and what software you used (if any). For example, quantitative data will often require some initial preparation such as removing duplicates or incomplete responses . Similarly, qualitative data will often require transcription and perhaps even translation. As always, remember to state both what you did and why you did it.

Section 3 – The Methodological Limitations

With the key methodological choices outlined and justified, the next step is to discuss the limitations of your design. No research methodology is perfect – there will always be trade-offs between the “ideal” methodology and what’s practical and viable, given your constraints. Therefore, this section of your methodology chapter is where you’ll discuss the trade-offs you had to make, and why these were justified given the context.

Methodological limitations can vary greatly from study to study, ranging from common issues such as time and budget constraints to issues of sample or selection bias . For example, you may find that you didn’t manage to draw in enough respondents to achieve the desired sample size (and therefore, statistically significant results), or your sample may be skewed heavily towards a certain demographic, thereby negatively impacting representativeness .

In this section, it’s important to be critical of the shortcomings of your study. There’s no use trying to hide them (your marker will be aware of them regardless). By being critical, you’ll demonstrate to your marker that you have a strong understanding of research theory, so don’t be shy here. At the same time, don’t beat your study to death . State the limitations, why these were justified, how you mitigated their impacts to the best degree possible, and how your study still provides value despite these limitations .

Section 4 – Concluding Summary

Finally, it’s time to wrap up the methodology chapter with a brief concluding summary. In this section, you’ll want to concisely summarise what you’ve presented in the chapter. Here, it can be a good idea to use a figure to summarise the key decisions, especially if your university recommends using a specific model (for example, Saunders’ Research Onion ).

Importantly, this section needs to be brief – a paragraph or two maximum (it’s a summary, after all). Also, make sure that when you write up your concluding summary, you include only what you’ve already discussed in your chapter; don’t add any new information.

Methodology Chapter Example

In the video below, we walk you through an example of a high-quality research methodology chapter from a dissertation. We also unpack our free methodology chapter template so that you can see how best to structure your chapter.

Wrapping Up

And there you have it – the methodology chapter in a nutshell. As we’ve mentioned, the exact contents and structure of this chapter can vary between universities , so be sure to check in with your institution before you start writing. If possible, try to find dissertations or theses from former students of your specific degree program – this will give you a strong indication of the expectations and norms when it comes to the methodology chapter (and all the other chapters!).

Also, remember the golden rule of the methodology chapter – justify every choice ! Make sure that you clearly explain the “why” for every “what”, and reference credible methodology textbooks or academic sources to back up your justifications.

If you need a helping hand with your research methodology (or any other component of your research), be sure to check out our private coaching service , where we hold your hand through every step of the research journey. Until next time, good luck!

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

The Ultimate Guide To Research Methodology

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

Table of Contents

What Is Research Methodology?

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

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

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

Facilitating Rigorous Inquiry

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

Ensuring Reproducibility And Reliability

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

Guiding Decision-Making Processes

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

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

Contributing To Academic Excellence

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

Enhancing Problem-Solving Abilities

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

Understanding Research Methodology

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

Basics Of Research

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

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

Types of Research

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

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

Components Of Research Methodology

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

Research Design

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

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

Data Collection Methods

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

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

Data Analysis Techniques

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

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

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Choosing a Research Method

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

Quantitative Research Methods

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

Experimental Research

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

Key Characteristics:

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

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

Survey Research

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

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

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

Descriptive Research

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

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

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

Qualitative Research Methods

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

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

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

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

Ethnography

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

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

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

Grounded Theory

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

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

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

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

Exploratory, Descriptive, And Explanatory Designs

Exploratory design.

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

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

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

Descriptive Design

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

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

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

Explanatory Design

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

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

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

Cross-Sectional Vs. Longitudinal Designs

Cross-sectional design.

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

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

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

Longitudinal Design

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

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

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

Experimental Vs Non-experimental Designs

Experimental design.

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

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

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

Non-Experimental Design

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

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

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

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

Designing Effective Surveys

Objective Design:

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

Structured Format:

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

Pilot Testing:

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

Sampling Strategy:

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

Conducting Interviews

Establishing Rapport:

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

Open-Ended Questions:

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

Active Listening:

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

Ethical Considerations:

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

Observation

1. participant observation.

Immersive Participation:

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

Field Notes:

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

Ethical Awareness:

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

2. Non-participant Observation

Objective Observation:

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

Data Reliability:

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

Contextual Understanding:

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

Archival Research

1. using existing data.

Identifying Relevant Archives:

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

Data Verification:

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

Ethical Use:

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

2. Challenges and Considerations

Incomplete or Inaccurate Archives:

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

Temporal Bias:

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

Access Limitations:

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

Common Challenges in Research Methodology

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

Sampling Issues

Sampling bias:.

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

Sample Size Determination:

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

Data Quality And Validity

Measurement error:.

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

Construct Validity:

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

Time And Resource Constraints

Timeline pressures:.

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

Resource Availability:

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

Managing Bias in Research

Selection bias:.

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

Confirmation Bias:

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

Tips On How To Write A Research Methodology

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

Tip 1. Clear Research Objectives

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

Tip 2. Comprehensive Literature Review

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

Tip 3. Detailed Research Plan

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

Tip 4. Ethical Considerations

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

Tip 5. Stay Updated On Methodologies

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

Tip 6. Adaptability In Methods

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

Tip 7. Iterative Approach

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

Frequently Asked Questions

What is the research methodology.

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

What are the methodologies in research?

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

How to write research methodology?

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

How to write the methodology section of a research paper?

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

What is mixed research methodology?

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

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Organizing Your Social Sciences Research Paper

• 6. The Methodology
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
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• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
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• Evaluating Sources
• Primary Sources
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• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
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• Limitations of the Study
• Common Grammar Mistakes
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The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.

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

Importance of a Good Methodology Section

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

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

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

Structure and Writing Style

I.  Groups of Research Methods

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

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

II.  Content

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

The remainder of your methodology section should describe the following:

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

In addition, an effectively written methodology section should:

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

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

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

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

III.  Problems to Avoid

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

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

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

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

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

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

Writing Tip

Statistical Designs and Tests? Do Not Fear Them!

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

To locate data and statistics, GO HERE .

Another Writing Tip

Knowing the Relationship Between Theories and Methods

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

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

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

Yet Another Writing Tip

Methods and the Methodology

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

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

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

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• How to Write Your Methods

Ensure understanding, reproducibility and replicability

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

Why Methods Matter

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

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

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

What to include in your methods section

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

A constant principle of rigorous science

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

Imagine replicating your own work, years in the future

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

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

Tip: Be sure to capture any changes to your protocols

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

Visual aids for methods help when reading the whole paper

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

Ethical Considerations

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

Existing standards, checklists, guidelines, partners

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

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

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

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

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

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

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

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

Summary Writing tips

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

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

Don’t

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

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

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

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

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

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

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

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

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

• Understand the methodology section

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

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

• Use samples as a guide

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

• Gather details on your research methodology

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

• Use past tense

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

• The chapter is descriptive

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

• Revisit your objectives and research questions

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

• Discuss obstacles

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

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

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How to Write Research Methodology

Last Updated: May 27, 2024 Approved

This article was co-authored by Alexander Ruiz, M.Ed. and by wikiHow staff writer, Jennifer Mueller, JD . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. wikiHow marks an article as reader-approved once it receives enough positive feedback. In this case, several readers have written to tell us that this article was helpful to them, earning it our reader-approved status. This article has been viewed 523,487 times.

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

Describing Your Methods

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

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

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

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

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

Justifying Your Choice of Methods

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

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

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

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

Connecting Your Methods to Your Research Goals

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

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

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

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

Template to Write Research Methodology

Community Q&A

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

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

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

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

Methodology In Research Paper

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

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

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

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

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

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

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

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

Method vs Methodology

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

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

Design Methodology: Methodological Approach                

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

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

 READ ALSO:  HOW TO WRITE EFFECTIVE RESEARCH PROJECT ABSTRACT

Methodology

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

Example Of Methodology In Research Paper :

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

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

Methods Section Of Research Paper Example :

• Contextual inquiry
• Usability study
• Diary study

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

 READ ALSO:  HOW TO DEVELOP EFFECTIVE AND UNIQUE PROJECT TOPICS

Research Design Definition: WRITING A RESEARCH DESIGN

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

Pilot Study

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

Instruments

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

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

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

ALSO READ:  TRENDING PROJECT TOPICS FOR FINAL YEAR STUDENTS AT A GLANCE

EFFECTIVE GUIDE AND METHODOLOGY SAMPLES

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

• Research Design
• Area of Study

The population of the Study

• Sample and Sampling Techniques
• Instruments for Data Collection

The validity of the Instrument

Reliability of the Instrument

• Administration of the instruments
• Scoring the instruments

Method of Data Collection

Method of Data Analysis

Research Design:

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

Area of Study:

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

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

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

n   =        N

N is the Population

1 is constant

e is the error margin

Then, n   =         482

1+482(0.05)2

= 214.35 approximately 214

Sample and sampling technique:

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

Instruments for Data Collection:

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

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

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

Administration of the instruments:

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

Scoring the instruments:

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

Table of Analysis

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

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

The weighing was as follows:

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

GE—————– Great Extent (3 points)

LE—————– Little Extent (2 points)

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

SA—————– Strongly Agree (4 points)

A——————- Agree (3 points)

D—————— Disagree (2 points)

SD—————- Strongly Disagree (1 point)

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

Where; x= mean

f= frequency

X= Nominal value of the option

∑= summation

N= Total Number

Therefore, the mean of the scale is 2.5.

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

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

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How to write an effective project plan in 6 simple steps

Contributing writer

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

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

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

What is a project plan?

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

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

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

Why Are Project Plans Important?

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

Project plans help you stay agile

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

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

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

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

Project plans provide complete visibility

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

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

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

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

Project plans boost engagement and productivity

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

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

How To Write A Project Plan in 6 Steps

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

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

1. Establish Project Scope And Metrics

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

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

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

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

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

2. Identify Key Project Stakeholders 

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

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

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

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

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

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

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

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

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

3. Outline Deliverables

Now is the time to get granular.

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

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

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

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

4. Develop Actionable Tasks

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

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

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

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

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

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

5. Assign Tasks And Deadlines

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

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

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

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

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

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

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

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

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

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

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

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

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

Example of a simple project plan 

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

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

Best Practices For Writing Effective Project Plans

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

Use Other Project Plans For Inspiration

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

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

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

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

Get Your Team Involved In The Process

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

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

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

Don’t Let Perfect Be The Enemy Of The Good

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

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

Use the right tools to succeed with your project plan

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

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

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

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

Table of Contents

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

• ProjectManager & Project Proposals

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

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

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

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

Get your free

Project Proposal Template

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

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

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

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

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

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

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

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

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

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

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

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

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

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

1. Write an Executive Summary

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

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

2. Provide a Project Background

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

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

3. Establish a Project Vision & Success Criteria

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

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

4. Identify Potential Risks and Mitigation Strategies

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

5. Define Your Project Scope and Project Deliverables

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

6. Set SMART Goals for Your Project Proposal

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

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

7. Explain What’s Your Project Approach

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

8. Outline The Expected Benefits of Your Project Proposal

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

9. Identify Project Resource Requirements

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

10. Estimate Project Costs and Project Budget

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

11. Define a Project Timeline

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

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

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

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

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

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

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

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

ProjectManager & Project Proposals

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

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

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

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

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

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

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