手法を比較

	三角測量調査	混合研究法	オンライン調査
分野	調査方法論	質的手法	調査方法論
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	1978 (Denzin); widely operationalized in survey contexts from the 1990s onward	—	Mid-1990s (widespread scholarly adoption ~1995–2000)
提唱者	Norman K. Denzin (triangulation concept); Alan Bryman (mixed-methods survey application)	—	Mick P. Couper, Don A. Dillman (early systematic frameworks)
種類	Mixed-methods data collection design	Research design framework	Quantitative / mixed-methods data collection technique
原典	Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill.	Creswell, J.W. & Plano Clark, V.L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379	Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494.
別名	survey triangulation, multi-method survey, convergent survey design, cross-validated survey	Karma Yöntem Araştırması (Mixed Methods), multi-method research, triangulation design	web survey, internet survey, e-survey, computer-assisted web interviewing
関連	5	4	6
概要	A Triangulated Survey deliberately combines a structured survey instrument with at least one additional data source — such as interviews, focus groups, observation, or a second survey — so that findings from each source can be cross-validated against the others. Rooted in Denzin's concept of methodological triangulation, the design strengthens credibility by checking whether independent lines of evidence converge on the same conclusions. It is especially common in applied social, educational, and health research.	Mixed methods research is a systematic research design in which quantitative and qualitative data are collected and analysed within a single study. Formalised by Creswell and Plano Clark (2003, 3rd ed. 2018), it offers three principal design variants — concurrent, sequential, and transformative — and strengthens findings through triangulation across both data strands.	An online survey is a structured data collection instrument hosted on a web platform and completed by respondents via internet-connected devices. It enables large-scale, geographically dispersed data gathering at low cost and with rapid turnaround. Respondents self-administer the questionnaire at their convenience, which reduces interviewer bias and permits automatic data capture. Online surveys are the dominant mode of survey research in social, behavioural, health, and market research today.