Salīdzināt metodes

	Daudzavotu ne dalībnieku novērošana	Triangulētā ne-dalībnieka novērošana
Nozare	Aptauju metodoloģija	Aptauju metodoloģija
Saime	Process / pipeline	Process / pipeline
Izcelsmes gads	1970s–1980s (methodological triangulation literature)	1958 (observer roles); 1978 (triangulation applied to observation)
Autors	Rooted in systematic observation traditions; multi-source triangulation formalised by Norman Denzin	Norman K. Denzin (triangulation framework); Raymond Gold (observer roles taxonomy)
Tips	Qualitative/naturalistic data collection strategy	Qualitative data collection technique
Pirmavots	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.
Citi nosaukumi	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
Saistītās	6	3
Kopsavilkums	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.