Interviews

Interviews

1. Definition

   • A data collection method involving direct verbal questioning of a research participant (interviewee) by a researcher (interviewer) to gather in-depth information.

2. Purposes

   • To discover and explore a participant's perspective, experiences, feelings, and beliefs.
   • To generate rich, detailed qualitative data.
   • To clarify and follow up on responses in real-time.

3. Types

   • Structured
     • Formal set of questions asked in the same sequence to all participants.
     • Focus on consistency and reliability.
     • Best for quantitative data analysis.
   • Semi-Structured
     • Use of an interview schedule (guide) with predetermined topics/questions.
     • Flexibility to probe, rephrase, and follow up on new themes that emerge.
     • Most common type for qualitative research.
   • Unstructured/In-Depth
     • Highly flexible, conversational approach.
     • Focuses on a central topic but with few or no pre-set questions.
     • Aims for deep, rich narrative data.

4. Procedures

   • Planning
     • Determine purpose (what data is needed).
     • Develop interview schedule (list of questions/topics).
     • Select and train interviewers.
     • Address ethical issues (informed consent, confidentiality).
   • Conducting the Interview
     • Establish rapport/trust with the interviewee.
       • Use active listening and non-verbal cues.
     • Ask clear, open-ended questions (e.g., 'tell me about...', 'how did you feel when...').

5. Uses

   • To explore complex or sensitive subjects where in-depth understanding is necessary.
     • To conduct pilot work to inform the design of subsequent questionnaires or other instruments.
   • To collect personal accounts, feelings, and motivations that surveys can't capture.

6. Data Analysis

   • Qualitative Models
     • Thematic Analysis: Identifying, analyzing, and reporting patterns (themes) within the data.
       • Discourse Analysis: Examining how language is used in social contexts (what is said and how).
         • Narrative Analysis: Focusing on the stories participants tell and their structure.
     • Quantitative Models (Primarily for Structured Interviews)
       • Coding responses into quantifiable categories for statistical analysis (e.g., tallying the frequency of certain answers).

7. Issues & Limitations

   • Interviewer Effect (Bias): The interviewer's characteristics or behavior can influence the participant's responses.
     • Time and Cost: Labor-intensive for conducting, transcribing, and analyzing.
       • Generalizability: Findings from a small number of in-depth interviews may not be representative of a larger population.
       • Reliability: Difficult to ensure consistency and replication, especially with unstructured interviews.