Comparer des méthodes

	Entretien semi-directif pré-testé	Entretien approfondi pré-testé
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1970s–1980s (as formalised pilot testing of qualitative instruments)	1990s–2000s (pilot testing of qualitative instruments formalized)
Auteur d'origine	Standard qualitative methods practice; systematised in social research methodology literature	Rooted in interview methodology tradition; pilot testing practice systematized by Kvale and others
Type	Qualitative data collection technique with pre-validation phase	Qualitative data collection technique
Source fondatrice	Bryman, A. (2016). Social Research Methods (5th ed.). Oxford University Press. ISBN: 9780198714965	Kvale, S., & Brinkmann, S. (2009). InterViews: Learning the Craft of Qualitative Research Interviewing (2nd ed.). Sage. ISBN: 978-0761925422
Alias	pilot semi-structured interview, pre-tested qualitative interview, pilot interview protocol, trial semi-structured interview	pretested in-depth interview, pilot in-depth interview, pilot-tested IDI, pilot interview protocol
Apparentées	4	3
Résumé	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.	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.