A brief teaching note on semi-structured interview (information from perplexity.ai)
My question 1: "Highlight 8 main ideas of semi-structured interview as a research method."
The reply: "The eight main ideas of semi-structured interviews as a research method are:
Flexible Structure: Semi-structured interviews use a combination of predetermined questions along with the flexibility to explore new topics based on participants' responses, enabling a conversational and adaptive approach.
Participant-Centered: This method values participants' perspectives and experiences, encouraging open and in-depth sharing by building rapport and trust during the interview.
In-Depth Exploration: It allows researchers to delve deeply into participants' narratives, uncovering rich, detailed insights and contextual information that structured interviews may miss.
Purpose-Driven: Semi-structured interviews aim to explore complex research questions, especially those focused on understanding perceptions, beliefs, values, and emotions from participants.
Open-Ended and Probing Questions: The method typically uses open-ended questions to elicit detailed responses and follow-up probing questions to clarify and deepen understanding.
Flexibility in Questioning: Researchers can adapt questions in real-time depending on interview flow, participant answers, or emerging themes, making it versatile for diverse topics.
Suitable Sampling: Participants are usually selected purposefully for their knowledge or experience relevant to the research question—not for statistical representativeness—aiming for thematic saturation.
Time-Intensive Process: Conducting, transcribing, and analyzing semi-structured interviews require substantial time and resources, and the quality of data depends on interviewer skills.
These ideas capture the balance between structure and flexibility that makes semi-structured interviews a valuable qualitative research method for exploring complex human experiences and meanings.:
My question 2: "Introduce some techniques for effective probing during interviews."
The reply: "Effective probing during interviews involves several key techniques to elicit deeper, clearer, and richer responses from participants:
Mirror Technique: Repeating the last statement or part of it to encourage the interviewee to continue elaborating without redirecting the conversation.
Asking "Why": Probing with "why" questions to understand the reasons behind responses, but limit to about three to five times to avoid respondent fatigue.
Affirmative Encouragement: Using verbal nods like "Uh-huh," or "I see," and non-verbal cues such as nodding to encourage the interviewee to keep talking.
Strategic Silence: Pausing silently to give the interviewee time to think and expand further, avoiding interruptions during reflective moments.
Clarifying Questions: Asking for clarification of vague or ambiguous answers to ensure accurate understanding.
Elaborative Probes: Requesting more detail, examples, or explanations to deepen responses, such as "Can you tell me more about that?".
Reflective Probes: Repeating the interviewee’s words back as a question to prompt elaboration or confirm understanding.
Hook Technique: Pretending to know more to prompt the interviewee to reveal additional information, useful when respondents are hesitant or guarded.
Applying these techniques skillfully helps build rapport, clarifies responses, and uncovers nuanced insights, making interviews more productive and meaningful."
A collection of blog notes on using chatgpt for research purpose.
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