So sánh phương pháp
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| Phỏng vấn sâu đã được thử nghiệm thí điểm× | Phỏng vấn bán cấu trúc đã thử nghiệm trước× | |
|---|---|---|
| Lĩnh vực | Phương pháp luận khảo sát | Phương pháp luận khảo sát |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1990s–2000s (pilot testing of qualitative instruments formalized) | 1970s–1980s (as formalised pilot testing of qualitative instruments) |
| Người khởi xướng≠ | Rooted in interview methodology tradition; pilot testing practice systematized by Kvale and others | Standard qualitative methods practice; systematised in social research methodology literature |
| Loại≠ | Qualitative data collection technique | Qualitative data collection technique with pre-validation phase |
| Công trình gốc≠ | Kvale, S., & Brinkmann, S. (2009). InterViews: Learning the Craft of Qualitative Research Interviewing (2nd ed.). Sage. ISBN: 978-0761925422 | Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. ISBN: 9780198714965 |
| Tên gọi khác | pretested in-depth interview, pilot in-depth interview, pilot-tested IDI, pilot interview protocol | pilot semi-structured interview, pre-tested qualitative interview, pilot interview protocol, trial semi-structured interview |
| Liên quan≠ | 3 | 4 |
| Tóm tắt≠ | A pilot-tested in-depth interview is a qualitative data collection approach in which the interview guide is administered to a small number of participants before the main study, specifically to identify ambiguous questions, refine probes, estimate session duration, and verify that the protocol elicits rich, relevant narratives. The revised guide is then used in the full data collection phase, improving data quality and interview consistency. | A pilot-tested semi-structured interview combines the flexibility of semi-structured interviewing — a guide of open-ended questions allowing conversational depth — with a mandatory pre-study pilot phase in which the guide is trialled on a small subset of participants or informants. The pilot reveals ambiguous questions, poor sequencing, and missing topics before the main data collection begins, substantially strengthening the validity and efficiency of the final instrument. |
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