Sampling Techniques: Since studying an entire population is often impossible, a smaller sub-group (sample) is selected. The goal is usually to achieve a representative sample that mirrors the characteristics of the wider population to ensure findings are generalizable.
The Pilot Study: Before the main research begins, a small-scale 'test run' is conducted. This stage is vital for identifying flaws in the research tools, such as ambiguous questions in a survey or logistical issues in an experiment.
Refinement: Data from the pilot study is used to modify the research design, improving the clarity of questions and the overall effectiveness of the methodology before significant resources are committed.
Data Collection: The researcher carries out the study using the chosen method (e.g., interviews, observations, or questionnaires). Data must be recorded systematically and ethically, ensuring participant confidentiality and informed consent.
Analysis and Interpretation: Once data is gathered, it is analyzed to see if it supports or rejects the initial hypothesis. This involves looking for patterns, trends, or causal relationships within the findings.
Reporting and Reflexivity: The final stage is producing a report that details the methodology, findings, and evaluations. Reflexivity is often included, where the researcher reflects on how their own biases or presence might have influenced the results.
| Feature | Positivist Approach | Interpretivist Approach |
|---|---|---|
| Starting Point | Formal Hypothesis | Broad Research Aims |
| Goal | Identify cause-and-effect | Understand social meanings |
| Data Type | Quantitative (Numerical) | Qualitative (Descriptive) |
| Focus | Objectivity & Reliability | Validity & Depth |
Hypothesis vs. Aim: A hypothesis is a specific prediction to be tested, whereas an aim is a broader statement of what the researcher intends to explore without a pre-determined outcome.
Population vs. Sample: The population is the entire group of interest, while the sample is the specific group of individuals who actually participate in the research.
Check for Alignment: Always ensure that the chosen research method logically follows the hypothesis. If the hypothesis is about 'cause and effect,' a quantitative method like an experiment or structured questionnaire is usually expected.
The Role of the Pilot: In exam questions about improving research, the 'Pilot Study' is almost always a correct answer. It demonstrates an understanding of how to increase validity and reliability.
Operationalization Precision: When asked how to measure a concept, provide specific, observable indicators. Avoid vague terms; instead of saying 'measure wealth,' say 'record the total value of household assets.'
Reflexivity Awareness: For interpretivist-leaning questions, mention reflexivity. It shows you understand that the researcher is not a neutral observer but an active participant in the social world.
