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How to Write a Research Paper Methodology Section: Qualitative vs Quantitative Guide

TL;DR — What You Need to Know Right Now

  • The methodology section explains how you conducted your research — it’s your research recipe.
  • Quantitative research uses numbers and statistics (surveys, experiments) to test hypotheses. Qualitative research uses words and observations (interviews, case studies) to explore meaning.
  • Your methodology must include: research design, participants, materials, procedure, and data analysis — in that order.
  • Write everything in past tense and enough detail that someone else could replicate your study.
  • Most undergraduates choose quantitative for measurable outcomes, qualitative for deep understanding — pick based on your research question.

When you’re staring at a blank page after writing your introduction and thesis statement, the methodology section can feel intimidating. But here’s the truth: the methodology section is just a straightforward description of what you did. You’re writing a recipe for your research — someone should be able to read it and repeat your study exactly.

In this guide, I’ll walk you through exactly how to write a methodology section for your undergraduate research paper, comparing the two main approaches (qualitative vs quantitative) with concrete examples you can adapt for your own work.

What Is a Methodology Section (And Why Does It Matter)?

Your methodology section answers two fundamental questions:

  1. How did you collect your data?
  2. How did you analyze it?

This section sits between your introduction and your results (or findings). It’s where you demonstrate that your research was conducted systematically, transparently, and ethically. Without a solid methodology, your results have no credibility — they’re just opinions.

Think of it this way: if your introduction says “here’s what I studied,” your methodology says “here’s exactly how I studied it.”

According to San Jose State University’s Writing Center, the methodology section should begin by describing your research question and the type of data you used to answer it, then explain why that type of data is appropriate and relevant. [[source](https://www.sjsu.edu/writingcenter/docs/handouts/Methodology.pdf)]

What to Include (The Standard Five Parts)

Every methodology section needs these five components, in order:

  1. Research Design — What approach did you use?
  2. Participants / Data Source — Who or what did you study?
  3. Materials and Tools — What did you use?
  4. Procedure — What exactly did you do, step by step?
  5. Data Analysis — How did you process and interpret your results?

Here’s a practical checklist you can use:

  • [ ] Named your research design (quantitative, qualitative, or mixed methods)
  • [ ] Explained why this design fits your research question
  • [ ] Described your sample size and how you selected participants
  • [ ] Listed all instruments, surveys, or software used
  • [ ] Wrote the procedure chronologically (what happened first, second, third)
  • [ ] Described your analysis method (statistical tests, coding, thematic analysis)
  • [ ] Used past tense throughout
  • [ ] Included enough detail for replication

Quantitative vs Qualitative: Which One Fits Your Paper?

This is the most important methodological decision you’ll make, and choosing the right one is simpler than it sounds. Let’s break down both approaches with examples.

Quantitative Research (Numbers and Statistics)

Quantitative research deals with numbers, measurements, and statistical analysis. You’re looking for patterns, correlations, or cause-and-effect relationships.

When to use it:

  • You want to answer “how many,” “how much,” or “how often”
  • You’re testing a hypothesis that can be measured
  • You need generalizable results across a large population
  • Your data can be expressed as numbers or percentages

Common methods: Surveys with closed-ended questions, experiments, standardized tests, existing datasets, structured observations

What it looks like:

“To examine the relationship between study habits and academic performance, we surveyed 300 first-year university students using a Likert-scale questionnaire (1-5) measuring hours spent studying per week, frequency of library visits, and self-reported stress levels. Data were analyzed using SPSS version 28, with Pearson correlation coefficients calculated between weekly study hours and cumulative GPA.”

This is how Scribbr describes the quantitative methods section: begin by reporting sample characteristics, sampling procedures, and the sample size, then describe the instruments used and the analytical techniques applied. [[source](https://www.scribbr.com/apa-style/methods-section/)]

Qualitative Research (Words and Meaning)

Qualitative research deals with words, meanings, and experiences. You’re exploring the “why” and “how” behind behaviors and decisions.

When to use it:

  • You want to understand lived experiences, motivations, or perspectives
  • Your research question asks “why,” “how,” or “what is it like”
  • You need depth and context, not breadth
  • Your phenomenon is complex and not easily measurable

Common methods: Semi-structured interviews, focus groups, open-ended surveys, case studies, ethnographic observations, document analysis

What it looks like:

“To explore students’ experiences with remote learning during the pandemic, I conducted 15 semi-structured interviews with undergraduate students ranging from first-year to senior standing. Interviews lasted 30-45 minutes and were recorded, transcribed, and analyzed using thematic analysis (Braun & Clarke, 2006). I coded the transcripts inductively, identifying recurring themes around isolation, motivation, and time management.”

According to the National University, qualitative studies rely on interviews, focus groups, and observations, whereas quantitative studies use surveys, experiments, and statistical analysis. [[source](https://www.nu.edu/blog/qualitative-vs-quantitative-study/)]

Side-by-Side Comparison (Pick the Right One)

My recommendation: Most undergraduate papers in STEM, psychology, economics, and business lean quantitative because the data is easier to collect and analyze. Most papers in education, sociology, anthropology, and humanities lean qualitative because the research question is about understanding human experience.

Choose based on your research question, not your comfort level. If you ask “What percentage of students use AI for homework?” — that’s quantitative. If you ask “How do students feel about using AI for assignments?” — that’s qualitative.

How to Write Each Section Step by Step

1. Research Design

Start by naming your approach and justifying it. This is the “why” of your methodology.

Example (Quantitative):

“This study employed a quantitative cross-sectional design to examine the correlation between social media usage and self-reported anxiety levels among undergraduate students. This design was selected because it allows for the collection of numerical data from a large sample at a single point in time, making it possible to identify statistical relationships.”

Example (Qualitative):

“This study used a qualitative phenomenological approach to explore the lived experiences of first-generation college students navigating academic support systems. A phenomenological design was chosen because it allows for an in-depth exploration of participants’ subjective experiences and meanings, rather than measuring variables.”

2. Participants and Sampling

Describe who you studied and how you selected them. This is where most undergraduates lose marks — they’re too vague.

What to include:

  • Total sample size
  • How participants were recruited (you, professors, online)
  • Inclusion criteria (e.g., “enrolled full-time, at least 18 years old”)
  • Sampling method (random, convenience, purposive)
  • Demographics (age, year, major) — at least a summary

Example (Quantitative):

“Participants were 245 undergraduate students recruited through convenience sampling from a large public university. Students were required to be enrolled in at least 12 credits and 18 years of age or older. The sample consisted of 62% female, 31% male, and 7% non-binary respondents, with a mean age of 20.3 years (SD = 1.5).”

Example (Qualitative):

“I recruited 12 first-generation college students (first-generation status defined as neither parent completed a bachelor’s degree) through purposeful sampling. Participants were identified with the assistance of academic advising offices and recruited via email invitations. I conducted interviews until thematic saturation was reached — the point at which no new themes emerged from additional interviews.”

Tip for qualitative: Mention “thematic saturation” — it shows you know when to stop collecting data.

3. Materials and Instruments

What tools did you use? Be specific.

For quantitative studies:

  • Questionnaires (name the instrument, e.g., “The General Self-Efficacy Scale”)
  • Surveys (were they created by you or adapted from existing research?)
  • Standardized tests (ACT scores, GRE, etc.)
  • Software (SPSS, R, Excel)

For qualitative studies:

  • Interview guides (mention they were semi-structured)
  • Recording equipment (voice recorder, Zoom recordings)
  • Transcription method (manual, Otter.ai, etc.)
  • Coding software (if used — NVivo, Atlas.ti)

Example:

“The survey was adapted from the Digital Wellness Inventory (Smith & Johnson, 2020), which has been validated in previous undergraduate studies. The questionnaire contained 15 closed-ended questions using a 5-point Likert scale. Data were managed and analyzed using SPSS version 28.”

Example:

“Interviews were conducted using a semi-structured interview guide containing 8 core questions and optional follow-ups. All interviews were audio-recorded using a digital voice recorder and transcribed using Otter.ai, with manual verification of key passages.”

4. Procedure

Walk the reader through what happened chronologically. This is the “recipe” part.

What to include:

  • Where data was collected (on campus, online, in a lab)
  • Who was present during data collection
  • Instructions given to participants
  • Time duration
  • Any ethical considerations (consent forms, anonymization)

Example:

“Data collection took place over a two-week period in March 2025. Participants received an email invitation with a link to the online survey hosted on Qualtrics. Upon clicking the link, they reviewed the consent form and selected ‘I agree’ to begin. The survey took approximately 12 minutes to complete. All responses were anonymized; no identifying information was collected.”

Example:

“Each interview was conducted in a private room on campus or via Zoom, at a time convenient for the participant. Before the interview began, I explained the study’s purpose, assured confidentiality, and obtained written consent. Interviews followed the interview guide but allowed participants to steer the conversation toward topics they felt were important. Each session lasted between 30 and 45 minutes.”

5. Data Analysis

This is where you explain how you turned raw data into findings. This section often confuses students, so let me be specific.

For quantitative:

  • What statistical tests you used (t-tests, ANOVA, regression, correlation)
  • Why you chose those tests
  • What software you used
  • Significance level (usually p < 0.05)

For qualitative:

  • How you coded the data (inductive, deductive, or a mix)
  • How many coders (just you? did anyone help?)
  • How you ensured reliability (triangulation, peer review)
  • Which framework you used (Denzin’s typology, Braun & Clarke’s thematic analysis)

Example (Quantitative):

“Data were analyzed using SPSS version 28. Descriptive statistics (means, standard deviations) were calculated for all variables. Pearson correlation coefficients were computed to examine relationships between social media usage and anxiety scores. A multiple linear regression was then performed with anxiety score as the dependent variable and social media usage, study hours, and GPA as predictors. The significance level was set at p < 0.05.”

Example (Qualitative):

“I analyzed the transcripts using reflexive thematic analysis following Braun and Clarke’s (2006) six-step process. First, I familiarized myself with the data through repeated reading. Second, I generated initial codes across the entire dataset. Third, I searched for themes among the codes. Fourth, I reviewed and refined themes, combining and splitting as necessary. Fifth, I defined and named each theme. Sixth, I produced the report, selecting vivid extracts to illustrate each theme. I maintained an audit trail throughout to enhance credibility.”

Common Mistakes and How to Avoid Them

Mistake #1: Using Present Tense

Your methodology describes actions you’ve already completed. Write everything in past tense.

  • Wrong: “I survey 200 students using a Likert scale.”
  • Right: “I surveyed 200 students using a Likert scale.”

Mistake #2: Including Results in the Methodology

Don’t mention what you found here. That belongs in the results section.

  • Wrong: “We found that 72% of students reported high anxiety.”
  • Right: “Anxiety levels were measured using the GAD-7 scale (range 0-21).”

Mistake #3: Being Too Brief or Too Detailed

There’s a middle ground. You need enough detail for replication, but you don’t need to describe every minute decision.

  • Too brief: “We surveyed students and analyzed the data.” (Not enough — how many? how analyzed?)
  • Too detailed: “We printed 500 copies of the survey on letter-size paper using Arial 12-point font.” (Too much — what matters is the sampling, not the font)

Mistake #4: Not Justifying Your Method Choice

Don’t just say what you did — explain why.

  • Weak: “I used a survey.”
  • Strong: “A survey was used because it allowed efficient collection of numerical data from a large sample, which was necessary to test the hypothesis about the relationship between X and Y.”

Formatting Rules by Citation Style

APA (7th Edition)

  • Use past tense throughout
  • Include subsection headings: “Participants,” “Materials,” “Procedure,” “Data Analysis”
  • Report sample sizes, statistical tests, and effect sizes
  • Use passive voice for procedures (“The survey was distributed…”)

MLA

  • Less prescriptive about structure
  • Emphasizes justification of methods
  • Can be more narrative in tone
  • Still requires past tense and detail

Chicago

  • Flexible structure
  • Emphasizes transparency and replicability
  • Allows more narrative description of process

When to Choose Mixed Methods

Some research questions are so complex that neither approach alone suffices. Mixed methods combine both — for example, surveying 200 students quantitatively, then interviewing 15 of them qualitatively to understand the numbers.

Use mixed methods when:

  • You need both breadth and depth
  • Your quantitative results are surprising or unclear
  • You’re studying a phenomenon that’s hard to measure alone

For undergraduate papers, mixed methods are usually unnecessary. Stick with one clear approach unless your professor explicitly requires both.

Quick Checklist Before You Submit

What I’d Recommend

If you’re unsure about choosing between quantitative and qualitative, ask yourself this: Do you need numbers to prove a pattern, or do you need stories to explain a phenomenon?

  • Numbers → quantitative (surveys, experiments, existing datasets)
  • Stories → qualitative (interviews, case studies, observations)

Most undergraduate papers can succeed with either approach. The key is consistency — don’t mix methods willy-nilly, and make sure your method fits your research question.

If your topic is about measuring effects, comparing groups, or testing relationships, go quantitative. If your topic is about understanding experiences, exploring perspectives, or documenting processes, go qualitative.

Final Thoughts

The methodology section is your chance to prove that your research is legitimate. It’s not glamorous — it’s not where you present your exciting findings — but without a strong methodology, none of your findings matter.

Write it clearly. Write it in past tense. Include enough detail that someone could replicate your study. And most importantly, make sure your method matches your research question.

When you nail the methodology, your paper will have solid foundations. When it doesn’t, no amount of brilliant analysis can save it.

Need help writing your methodology section? Our academic writers can draft it for you — contact us for a custom methodology section that fits your research question.

Related Guides

This guide was written by the Essays-Panda academic writing team. All sources cited are from authoritative academic writing resources including university writing centers and peer-reviewed publications.