Porovnat metody

	Pilotovaná polostrukturovaná interview	Pilotovaná hloubkový rozhovor
Obor	Metodologie dotazníkových šetření	Metodologie dotazníkových šetření
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	1970s–1980s (as formalised pilot testing of qualitative instruments)	1990s–2000s (pilot testing of qualitative instruments formalized)
Tvůrce	Standard qualitative methods practice; systematised in social research methodology literature	Rooted in interview methodology tradition; pilot testing practice systematized by Kvale and others
Typ	Qualitative data collection technique with pre-validation phase	Qualitative data collection technique
Původní zdroj	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
Další názvy	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
Příbuzné	4	3
Shrnutí	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.