विधियों की तुलना करें

	बहु-स्रोत गैर-प्रतिभागी अवलोकन	त्रिकोणीय गैर-प्रतिभागी अवलोकन
क्षेत्र	सर्वेक्षण पद्धति	सर्वेक्षण पद्धति
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1970s–1980s (methodological triangulation literature)	1958 (observer roles); 1978 (triangulation applied to observation)
प्रवर्तक	Rooted in systematic observation traditions; multi-source triangulation formalised by Norman Denzin	Norman K. Denzin (triangulation framework); Raymond Gold (observer roles taxonomy)
प्रकार	Qualitative/naturalistic data collection strategy	Qualitative data collection technique
मौलिक स्रोत	Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill.	Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill.
उपनाम	multi-site non-participant observation, multi-context unobtrusive observation, non-reactive multi-source observation, triangulated non-participant observation	triangulated observation, multi-source non-participant observation, observational triangulation, observer triangulation
संबंधित	6	3
सारांश	Multi-source non-participant observation is a qualitative data collection strategy in which a researcher systematically observes naturally occurring behaviour across two or more distinct settings, sites, or data sources without joining or influencing the activity being studied. By deliberately excluding the researcher from participation and drawing on multiple independent observational vantage points, the approach strengthens credibility through methodological triangulation while preserving the unobtrusiveness that protects naturalistic behaviour.	Triangulated non-participant observation systematically combines two or more independent non-participant observation streams — using multiple observers, different time points, or distinct vantage points — to cross-validate field records of naturally occurring behaviour. The researcher remains outside the setting as a detached observer, and triangulation across sources reduces single-observer bias while strengthening the credibility of descriptive findings.