Qualitative Vs Quantitative Research For Final Year Projects

Qualitative vs Quantitative Research for Your Final Year Project

Quantitative research works with numbers. It measures variables, counts responses and tests whether relationships between variables are statistically significant. Qualitative research works with words, meanings and experiences. It explores why people behave the way they do and what events mean to them. Both are systematic and rigorous, but they answer different kinds of questions, and choosing the wrong one is one of the most common reasons students struggle with Chapter Three.

If your research question asks how many, how much, or how often, you probably need a quantitative approach. If it asks why or how people experience something, you probably need a qualitative approach. This guide explains both methods in plain language, compares them side by side, gives Nigerian examples you can adapt, and ends with a simple decision process you can use before you write your methodology chapter.

What Is Quantitative Research?

Quantitative research is expressed in numbers and graphs. You begin with a clear hypothesis or a set of variables, design a study that produces numerical data, and analyse that data with statistics to confirm, reject or refine your expectation. The aim is generalisation, which means findings that hold across a broader population than your sample.

Common quantitative methods include surveys with closed ended questions, experiments, and observations recorded as numbers. For example, you might survey 300 students in your university and ask them to rate their satisfaction with their lecturers on a scale from 1 to 5. With the collected data, you run a statistical analysis and draw a conclusion such as, on average, students rate their lecturers 4.4 out of 5.

Quantitative research usually needs a larger sample, often 100 or more respondents for a survey, because the numbers have to represent the population fairly. The researcher stays objective and detached, and the study follows a fixed, structured design from start to finish.

What Is Qualitative Research?

Qualitative research is expressed in words. You use it to understand concepts, thoughts or experiences, and to gather in depth insights on topics that are not well understood. Rather than reducing experience to numbers, you collect rich verbal and visual data, such as interview transcripts, field notes, photographs and policy documents, and analyse them for patterns of meaning.

Common qualitative methods include interviews with open ended questions, focus group discussions, observations described in words, case studies and ethnography. For example, you might interview 15 students and ask open ended questions such as, how satisfied are you with your studies, or what could be done to improve the programme. You transcribe the interviews and look for recurring themes in what people said.

Qualitative research normally uses a smaller sample, often 6 to 30 participants, chosen purposively because they have relevant experience, not because they represent a whole population statistically. The researcher is more involved, and the design can be flexible, with new questions emerging as the study progresses.

Qualitative vs Quantitative Research: 9 Key Differences

The clearest way to see the contrast is to compare the two approaches on the criteria your supervisor and your defense panel will ask about.

• Type of data: Quantitative data is numerical and structured. Qualitative data is textual, visual or audio, and unstructured.
• Research question: Quantitative asks, does X predict Y, or is there a relationship between X and Y. Qualitative asks, how do people experience X, or why does X happen.
• Purpose: Quantitative tests or confirms theories and hypotheses. Qualitative explores ideas and helps formulate theories.
• Sample size: Quantitative usually needs 100 or more respondents for surveys, and at least 30 per group for experiments. Qualitative typically works with 6 to 30 participants, because depth matters more than breadth.
• Sampling: Quantitative uses larger, often randomised samples chosen for statistical representativeness. Qualitative uses smaller, purposive samples chosen for relevance to the question.
• Data collection: Quantitative uses structured questionnaires, experiments and observations recorded as numbers. Qualitative uses interviews, focus groups, observations described in words and document analysis.
• Data analysis: Quantitative data is analysed with simple maths or statistical software. Qualitative data is analysed by summarising, categorising and interpreting text, often through thematic coding.
• Role of the researcher: Quantitative researchers stay objective and detached. Qualitative researchers are subjective and involved, and their interpretation is part of the analysis.
• Generalisability: Quantitative findings can be generalised to a wider population when the sample is representative. Qualitative findings are not usually generalisable, but they give rich, detailed understanding of a specific context.

Neither approach is better in general. Each is designed for a different kind of question, and a good project is one where the method matches the question.

When to Use Quantitative Research

Use quantitative research when you want to confirm or test something, such as a theory or a hypothesis. It is the right choice when your question involves measuring, counting or comparing, and when you can reach enough respondents to make the numbers meaningful.

Typical final year project examples include measuring the effect of social media use on the academic performance of undergraduates, testing whether a training programme improves employee productivity, or comparing customer satisfaction across two bank branches. In each case, the answer is a number, a percentage or a tested relationship.

Quantitative research also fits when your department expects statistical evidence, and when you have access to a large group of respondents, for example through an online questionnaire shared with students across several departments.

When to Use Qualitative Research

Use qualitative research when you want to understand something, such as a concept, an experience or a process. It is the right choice when little is known about the topic, when you need to hear people's views in their own words, or when numbers alone cannot explain what is happening.

Typical final year project examples include exploring why final year students delay starting their projects, understanding how small traders in a market cope with rising prices, or studying how nurses in a rural hospital experience night shifts. In each case, the answer is an explanation, a story or a set of themes, not a number.

Qualitative research also fits when you can only reach a small number of people, for example 10 to 15 interviewees, because small numbers are normal and acceptable in qualitative work, provided the participants are chosen carefully and the interviews are deep.

What About Mixed Methods Research?

You do not always have to choose one approach. Mixed methods research combines elements of quantitative and qualitative research to answer a research question more completely than either approach could alone. It is often used in the behavioural, health and social sciences, especially for complex questions.

A common design is to start with interviews, gain new insights, and use them to build a hypothesis, then test that hypothesis with a survey. For example, you might first interview 10 customers to find out why they stopped buying from a shop, then survey 200 customers to find out how many share that reason. The interviews explain the why, and the survey shows how widespread the reason is.

Combining methods can also make your results more credible. If the qualitative and quantitative data point to the same conclusion, that agreement strengthens your findings. This is called triangulation. Mixed methods is more work, though, and it is less common for undergraduate projects, so discuss it with your supervisor before you commit to it.

How to Choose the Right Method in 5 Steps

Step 1. Start from your research question, not from a favourite method

Write your question down and underline the key verb. Does it ask how many, how much, or whether one thing affects another? That points to quantitative research. Does it ask why, how, or what it is like to experience something? That points to qualitative research. If you are asking a why question but designing a study that can only tell you how many, the method and the question do not match, and your supervisor will notice.

Step 2. Check what kind of answer you need

If the answer must be a measurement, a comparison or a tested relationship, choose quantitative. If the answer must be an understanding, an explanation or a description of experience, choose qualitative. Be honest about which one your objectives actually require.

Step 3. Consider your population and access

Quantitative surveys need reasonable sample sizes to be statistically meaningful. If you can only access 15 people, a quantitative survey will produce numbers that cannot be trusted to represent anything beyond those 15 people. Qualitative interviews with 10 to 15 people can produce genuinely rich insights, because small numbers are normal when depth matters more than breadth.

Step 4. Consider your time, skills and tools

Quantitative analysis usually needs statistical software, while qualitative analysis needs careful reading, coding and interpretation of text. Think about which skills you already have, which tools your department supports, and how much time each approach needs. A method you cannot analyse properly is worse than a simpler method you can execute well.

Step 5. Confirm the choice with your supervisor

Before you write Chapter Three, explain your question, your chosen method and your reasons in one short paragraph, and take it to your supervisor. Some departments have strong preferences, and some topics have an established method in the literature. A short conversation now can save you from rewriting your methodology later. If you are still shaping your topic, our guide on how to identify a research gap for your final year project will help you ground the question first, and our guide on how to write Chapter One of a final year project shows how the question, objectives and method should line up.

Common Mistakes Students Make When Choosing a Method

• Choosing a method because it looks easier. A questionnaire is not automatically easier than interviews, and interviews are not automatically easier than statistics. Each method has its own hard work, and the right choice is the one that answers your question.
• Mixing the two without a plan. Adding a few interview quotes to a survey study, or a few numbers to an interview study, is not mixed methods research. A genuine mixed design plans both parts from the start and explains how they fit together.
• Using a small sample for a quantitative study. Surveying 20 people and reporting percentages as if they represent a whole university is a common error. If your sample is small, either increase it or reconsider whether a qualitative design fits better.
• Asking closed questions in a qualitative study. If every interview question can be answered with yes or no, you will not get the rich data qualitative research needs. Use open ended questions that invite people to explain.
• Writing the methodology chapter before deciding the method. Chapter Three should describe a decision you have already made and justified, not a list of methods you might use. Decide first, then write.

Frequently Asked Questions About Qualitative and Quantitative Research

Can I use both qualitative and quantitative research in one project?

Yes. That is called mixed methods research. You collect both types of data, analyse them, and combine the results to answer your question more completely. It takes more time and planning, so confirm it with your supervisor before you commit.

Which method is easier for a final year project?

Neither is easier in general. Quantitative work is demanding in sampling and statistics, while qualitative work is demanding in interviewing, transcribing and interpreting text. The easier method is the one that fits your question, your access to respondents and the skills you already have.

How many respondents do I need for quantitative research?

It depends on your population and your design, but as a guide, surveys usually need 100 or more respondents, and experiments need at least 30 participants per group. Discuss the exact number with your supervisor and check what your department accepts.

How many participants do I need for qualitative research?

Typically 6 to 30 participants, chosen purposively because they have relevant experience. The number is less important than the depth of the interviews and whether you keep hearing the same themes, which is a sign that you have reached enough people.

Choose the Method That Answers Your Question

The difference between qualitative and quantitative research comes down to one question, what kind of answer do you need. Numbers test and measure. Words explore and explain. Start from your research question, check the kind of answer it demands, consider your access and your skills, and confirm the choice with your supervisor. When the method matches the question, Chapter Three becomes much easier to write, and your defense panel will have far fewer questions about why you did what you did.

Once your method is settled, you can prepare for the next stage with confidence. Practise the questions your panel is most likely to ask, including why you chose your method, using the 25 most common project defense questions and answers on ProjectNG.

Sources: Scribbr, Qualitative vs Quantitative Research; Scribbr, Data Collection Methods; Scribbr, Mixed Methods Research.