手法を比較

	オンライン半構造化インタビュー	オンライン構造化面接
分野	調査方法論	調査方法論
系統	Process / pipeline	Process / pipeline
提唱年	Late 1990s–2000s (systematic treatment by ~2010)	Late 1990s–2000s (with widespread adoption post-2010)
提唱者	Adapted from face-to-face semi-structured interviewing; online variant emerged with internet adoption in research (Salmons, Mann, Stewart)	Emerged from structured interview methodology adapted for internet-mediated communication
種類	Qualitative data collection technique	Quantitative/standardized data collection technique
原典	Brinkmann, S., & Kvale, S. (2015). InterViews: Learning the Craft of Qualitative Research Interviewing (3rd ed.). Sage. ISBN: 978-1452203867	Salmons, J. (2015). Qualitative Online Interviews: Strategies, Design, and Skills (2nd ed.). Sage Publications. ISBN: 978-1452283500
別名	virtual semi-structured interview, remote semi-structured interview, online qualitative interview, video-mediated semi-structured interview	web-based structured interview, virtual structured interview, digital structured interview, e-interview (structured)
関連	5	4
概要	An online semi-structured interview is a qualitative data collection technique in which a researcher conducts a guided but flexible conversation with a participant over a digital medium — video call, telephone, chat, or email — using a prepared interview guide with open-ended questions while remaining free to probe, reorder, or add follow-up questions as the dialogue unfolds. It combines the accessibility of remote communication with the depth and adaptability of semi-structured inquiry.	An online structured interview applies the classical structured interview protocol — a fixed set of predetermined questions asked in a fixed order — via internet-mediated channels such as video conferencing, synchronous chat, or email. Every participant receives the exact same questions, enabling systematic comparison across respondents while eliminating geographic barriers. It combines the standardization benefits of face-to-face structured interviewing with the reach, cost efficiency, and scheduling flexibility of online data collection.