What is Research Methodology? Definition, Types, & Example

Don’t Have Time to Read? Listen to this Article Instead!

Key Takeaways: What is Research Methodology?

Hey, academic writers, this is a great opportunity to learn about the insights of research methodologies. This knowledge will help you start a wonderful career. So don’t waste time and become a pro in research.

Research methodology is a guide for your research project. It also helps you decide how you’ll go about finding answers to your questions.

When you are writing your methodology, you need to explain what approach you are taking. You have to justify why you chose those methods and describe how you will collect and analyse your data.

Introduction

If you are new to academic writing and are starting a project for the first time, you may be confused about the terms research methodologies, data collection, and data analysis methods. These terms can be difficult to understand for new students, especially if you are not prepared.

In this blog post, we will explain these terms with examples so that you can start your writing with confidence. However, it is advisable to start with the basics first. We recommend reading our blog posts on the following:

• What is Research
• Types of Research
• Primary Research
• Secondary Research

Let’s start reading.

What Is Research Methodology?

Research methodology works as a map for your research. It’s a plan that guides you from start to finish. It also ensures your findings are accurate and reliable.

The key steps are:

• Define your goal
• Ask the right questions
• Choose your path

When you write a thesis or write a dissertation paper, there’s a section that explains all of these things. It’s like a map for your research.

So, it is similar to research design.

While methodology and design are closely related, they have distinct focuses.

The methodology is about the practical steps and techniques you’ll use to gather and analyse your data. On the other hand, design is about the overall strategy or approach you’ll take to conduct your research.

So, research design provides the framework, while research methodology fills in the details.

Why is a research methodology important?

A research methodology foundation of a study. It tells you exactly what steps to take and how to do them. This ensures that the research is done clearly and organizedly. It also helps other scientists check the work and see if they get the same results. A good methodology ensures that the research is done fairly and without cheating, and it protects the people who are part of the study.

Types of research methodology

There are three main ways to do research:

Quantitative

Quantitative research is a process where you ask questions to people and get numbers as answers. It is good for statistical analyses. You can also test if one thing causes another.

For examples:

“You can do Surveys to measure customer satisfaction.”

Qualitative

It explores ideas, opinions, and experiences in detail. It often involves interviews, focus groups, or observations to get deep insights rather than numbers.

For instance:

“You can create a focus group to explore group dynamics and opinions.”

Mixed-Method

This is a combination of the first two. You use both surveys and interviews to get a more complete picture. It’s good to check if your results from one method match the results from the other.

For example:

“Conducting a survey to gather information and measure attitudes. Following up with interviews to explore the reasons behind those attitudes in more depth”

Types of Sampling Designs in Research Methodology

Sampling design is a process, as you give reasons for how participants are selected from a larger section. There are two primary types of Sampling:

Probability Sampling

This is a way to choose people for a survey or study where everyone has an equal chance of being picked. It also makes sure that the people you talk to are a good mix of the whole group you’re studying. Let’s explore the types of probability sampling

• Simple Random Sampling: Everyone in the group has the same chance of being chosen.
• Stratified Sampling: in this type of Sampling, you can divide people into groups based on things like age, gender, or how much money they make. Then, you randomly choose people from each group. This makes sure you have a good mix of people from different parts of the population.
• Cluster Sampling: You can divide people into groups (such as neighbourhoods or schools). Then, you randomly choose some of these groups and talk to everyone in those chosen groups. This way, you get a sample of people from different areas.
• Systematic Sampling: You pick a random starting point and count every 10th name on the list to get your sample. Moreover, it is an easy way to get a sample from an extensive list.

Non-Probability Sampling

Non-probability sampling is used when you choose people for a survey or study in a way that doesn’t give everyone an equal chance. However, it can make the results unfair. Here are the types of  non-probability sampling:

• Convenience Sampling: When you choose people who are easy to find or talk to.
• Purposive Sampling: You have to select people with unique qualities that are important for the study.
• Quota sampling: It is like setting goals for how many people you want from different groups and then choosing people to meet those goals.
• Snowball sampling: This method is used when you ask people to suggest other people who might be suitable for the study. This can also help you find more people who are similar.

How to Collect Data

Data collection is a process where you collect data through different methods. It is a way to find out facts and figures about your research. There are two main ways to do this:

Qualitative

It is about understanding feelings, thoughts, and experiences. In this type, you observe to learn more. Examples include:

• Interviews
• Focus groups
• Observations
• Document analysis

Quantitative

It is all about numbers and measurements. You can analyse numbers to find answers. For instance:

• Surveys
• Experiments
• Existing data
• Tests

Sometimes, people use both qualitative and quantitative methods together to get a better understanding. However, the best method depends on what you are trying to learn and the kind of information you need.

Also read “The Best 400+ Quantitative Research Topics & Ideas in 2024“

What Are Data Analysis Methods?

You can use different ways to analyse data based on whether the information is descriptive or involves numbers.

When you have data, for example, from interviews, videos, or pictures, you can use qualitative data analysis to understand what people are saying and doing. This method helps you find patterns and insights that can answer your research questions. Let’s look at some examples of qualitative data analysis:

• Content Analysis
• Storytelling Analysis
• Conversation Analysis
• Grounded Theory

On the other hand, quantitative methods are used when you play with numbers, such as surveys or measurements. This involves using logic and math to find patterns and insights. Let’s explore the process.

• It is vital to make sure that when you use data, it is clean and organised before being analysed. In addition, it includes checking for errors, fixing any problems, and assigning codes to different types of data.
• Once your data is ready, you can start looking for patterns.
• You can use basic statistics such as averages, medians, and percentages to understand what’s common.
• Inferential analysis helps you understand how different parts of your data are connected by using correlation and regression methods. Moreover, it will allow you to see if there are relationships between various data.

Writing a Research Methodology

A methodology will tell people how you went about finding your answers. So, let’s discuss a simple way to write one:

• Restate Your Problem: Say what you’re trying to figure out again.
• Explain Your Approach: Tell people if you used numbers or experiences to find your answers.
• Justify Your Methods: Explain why you chose the way method.
• Data Collection: Say how you got the information you used.
• Data Analysis: When you analyse the data, you have to tell readers how you use data and why it makes sense
• Evaluate Your Choices: Explain why you think your way of doing things was the best.
• Address Challenges: Talk about any problems you faced as well as how you fixed them.
• Cite Your Sources: List the books or articles you used to help you decide how to do your research.

Factors to Consider When Choosing a Research Methodology

The choice of methodology depends on various factors. Here are some key considerations:

Nature of Your Research

• What do you want to achieve with your research?
• What specific questions are you trying to answer?

Norms of Your Research Area

• What methods are commonly used in your field?
• Check out the strengths and weaknesses of various methods.

Practical Considerations

• Is the method practical, given your resources and time constraints?
• Can you effectively implement the method when you start research?

Reasons to Choose Qualitative or Quantitative Research

You need to decide whether to use qualitative or quantitative methods When you are doing research.

When to choose the Qualitative method?

• Understanding people’s thoughts and feelings.
• Learning about why people do things.
• Finding new ideas.
• Working with small groups of people.
• Exploring things you don’t know much about.

When choose the Quantitative Method?

• Measuring things.
• Testing ideas.
• Using statistics to analyse data.
• Working with large groups of people.
• Being objective and unbiased.
• Predicting what will happen in the future.

Ethical Considerations in Research

When doing research, it’s important to be fair and respectful of everyone involved. Consider the following factors:

• People have the right to keep their personal information private. Therefore, you have a moral obligation to keep their information safe.
• Participants should choose to be in the research. Moreover, they can leave anytime.
• People should know what they’re getting into before they agree to be part of the research.

Example Research Methodology

Question: How do social media platforms affect what Gen Z people buy?

Research Design: Quantitative survey

Method: We’ll ask 1,000 Gen Z people in the USA to fill out an online survey.

Analysis: We’ll look at the answers to see if there’s a connection between how much people use social media and what they buy.

A common mistake to avoid

Here are some things to watch out for when writing your research methodology:

• Don’t just say you did something. Instead, explain exactly how you did it.
• You must avoid using fancy words or technical terms that might confuse people.
• If your methods are complicated, then you should explain them step-by-step.
• You must explain why you chose your methods and why they’re the best for your research.
• It is vital to acknowledge any problems with your methods and how you tried to fix them.
• Don’t rely too much on other people’s work.
• Make sure your methodology is clear and doesn’t contradict itself.
• Please explain how you got people’s permission, kept their information private, and treated them fairly.
• Don’t overload people with details; focus on the most critical parts of your methods.
• If necessary, use pictures or diagrams to help people understand your methods.

How Journal Publishers Can Streamline Research Paper Editing

We are committed to a streamlined editing process. Our editing services will carefully review your paper and make the necessary improvements. We also ensure your research paper is ready for Journal submission in a timely manner. In addition to research paper editing, our website offers thesis editing and proofreading services.

Conclusion

It is vital to understand methodologies, data collection, and analysis methods when you plan to write academic papers. If you follow a clear plan, you can be sure your research is done right. This will help you get reliable and accurate results. So, with a good plan, you’ll be able to write great research papers.

Frequently Asked Questions