Constructing a First-Class Dissertation Methodology: Epistemology, Sampling & Defense

Constructing a First-Class Dissertation Methodology: Epistemology, Sampling & Defense

Demystifying research philosophy (Positivism vs Interpretivism), inductive/deductive reasoning, data collection sampling, and ethical transparency.

Written by Prof. Marcus Sterling•PhD in Strategic Management (LSE)•February 18, 2026•9 min read

Key Academic Takeaways:

  • Align research philosophy (Epistemology/Ontology) seamlessly with your core research questions.
  • Justify qualitative, quantitative, or mixed-methods design using Saunders' Research Onion.
  • Detail sampling techniques, sample size calculations, and demographic inclusion criteria.
  • Address validity, reliability, trustworthiness, and ethical consent transparently.

Why the Methodology Chapter Determines Your Dissertation Grade

The methodology chapter is the intellectual engine of your thesis. Assessors examine it to determine whether your empirical findings rest on sound scientific foundations or arbitrary assumptions.

1. Navigating Saunders' Research Onion

A first-class methodology progresses through nested methodological layers:

  1. Philosophy: Positivism (Quantitative/Objective) vs. Interpretivism (Qualitative/Subjective) vs. Pragmatism (Mixed Methods).
  2. Approach: Deductive (Hypothesis testing) vs. Inductive (Theory building).
  3. Strategy: Survey research, Case study, Grounded theory, or Archival analysis.
  4. Time Horizon: Cross-sectional (snapshot) vs. Longitudinal.

2. Defending Sample Selection

Whether selecting corporate executives for semi-structured interviews (purposive sampling) or gathering financial market data across 500 FTSE firms, you must explicitly state the inclusion criteria and address survivorship bias.

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Positivism assumes an objective, measurable reality investigated through quantitative surveys and deductive hypothesis testing. Interpretivism views social phenomena as socially constructed and explores subjective human perspectives through qualitative interviews.

A First-Class UK methodology progresses through Saunders' Research Onion: Research Philosophy & Paradigm, Research Approach (Deductive/Inductive), Methodological Design, Research Strategy, Time Horizon, Sampling & Data Collection, Data Analysis Techniques, and Ethical Considerations.

For quantitative research, justify sample size using statistical power analysis (e.g. G*Power) or margin of error calculations. For qualitative research, justify your sample size using data saturation criteria grounded in established literature (e.g. Braun & Clarke).

UK Research Ethics Committees (REC) require all dissertations involving human participants or sensitive institutional records to demonstrate informed consent, voluntary participation, GDPR compliance, anonymity, and zero participant risk.

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