Constructing a First-Class Dissertation Methodology: Epistemology, Sampling & Defense
Demystifying research philosophy (Positivism vs Interpretivism), inductive/deductive reasoning, data collection sampling, and ethical transparency.
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:
- Philosophy: Positivism (Quantitative/Objective) vs. Interpretivism (Qualitative/Subjective) vs. Pragmatism (Mixed Methods).
- Approach: Deductive (Hypothesis testing) vs. Inductive (Theory building).
- Strategy: Survey research, Case study, Grounded theory, or Archival analysis.
- 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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