How to Write a Methodology Chapter

The methodology chapter justifies your research design and demonstrates rigour. Learn how to structure this critical chapter with clear connections between research questions, methods, and analysis.

Research Design Justification
Data Collection Procedures
Analysis Methods Overview
Ethics & Validity

Core Components of Methodology

Each component must be clearly described and justified with scholarly sources

Research Design & Philosophy

Positivism, interpretivism, pragmatism, or critical realism - justify your epistemological stance.

Population & Sampling

Define target population, sampling frame, sampling technique (probability/non-probability), and sample size justification.

Data Collection Methods

Surveys, interviews, experiments, observations, or secondary data - describe instruments and procedures.

Data Analysis Methods

Statistical tests (SPSS/R), thematic analysis, regression models, or NVivo - specify software and steps.

Choosing Your Research Approach

Select the methodology that best answers your research question and aligns with your philosophical stance

Exploratory & Interpretive

Qualitative

Focuses on understanding meanings, experiences, and social contexts through non-numerical data.

  • Semi-structured interviews
  • Focus groups (6-10 participants)
  • Ethnographic observation
  • Thematic or content analysis
  • Grounded theory approach
Best When

Exploring "how" or "why" questions, understanding lived experiences, or generating new theories.

Confirmatory & Hypothesis-Testing

Quantitative

Tests relationships between variables using numerical data and statistical analysis.

  • Surveys & questionnaires
  • Controlled experiments & RCTs
  • Statistical regression models
  • Secondary data analysis
  • Structural equation modelling (SEM)
Best When

Testing hypotheses, measuring variables, establishing causality, or making generalisable predictions.

Comprehensive & Triangulated

Mixed Methods

Combines qualitative and quantitative approaches for deeper understanding.

  • Sequential explanatory (QUAN → qual)
  • Sequential exploratory (QUAL → quan)
  • Concurrent triangulation
  • Embedded design strategy
  • Transformative design
Best When

Quantitative results need qualitative explanation, or when developing and testing instruments.

Methodology Completion Checklist

Verify each element before submitting your chapter

Methodology Checklist

Research design clearly justified

Explained why this design is appropriate for your research questions, with citations from methodology texts.

Sampling strategy explained

Described target population, sampling frame, technique, and sample size with justification.

Data collection instruments described

Included survey questions, interview protocols, observation templates, or data source details.

Analysis methods linked to research questions

Specified statistical tests, coding procedures, or other analysis techniques and software used.

Ethical approval & procedures documented

Informed consent, confidentiality, data storage, and IRB reference number included.

Ethical Considerations

Every methodology chapter must address these ethical dimensions

1
Informed Consent

Participants must understand the study purpose, procedures, risks, and their right to withdraw.

2
Anonymity & Confidentiality

Remove identifying information. Store data securely with access restrictions.

3
Data Storage & Security

Encrypted storage, access controls, retention periods, and disposal plans.

4
Institutional Review Board (IRB)

Include approval reference number and date of ethical clearance.

Essential Methodology Components

Each section must be present and logically connected to form a coherent methodology chapter

Research Design & Paradigm

State your philosophical position (positivism/interpretivism) and how it shaped your design choices.

Population & Sampling Strategy

Define your target population, sampling frame, sample size, and sampling technique justification.

Data Collection Instruments

Describe surveys, interview protocols, observation guides, or existing datasets used.

Data Analysis Techniques

Specify statistical tests (t-test, ANOVA, regression) or qualitative coding procedures.

Validity & Reliability

Address internal/external validity, reliability, triangulation, and researcher bias.

Limitations & Delimitations

Distinguish between limitations (uncontrollable) and delimitations (your choices).