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| Триангулирано ненаблюдателно наблюдение× | Триангулирани полеви бележки× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1958 (observer roles); 1978 (triangulation applied to observation) | 1970s–1980s |
| Създател≠ | Norman K. Denzin (triangulation framework); Raymond Gold (observer roles taxonomy) | Norman K. Denzin (triangulation); Yvonna Lincoln & Egon Guba (trustworthiness framework) |
| Тип≠ | Qualitative data collection technique | Qualitative data collection and verification technique |
| Основополагащ източник | Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗ | Denzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗ |
| Други названия | triangulated observation, multi-source non-participant observation, observational triangulation, observer triangulation | multi-source field notes, cross-observer field notes, triangulated observation notes, TFN |
| Свързани≠ | 3 | 5 |
| Резюме≠ | 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. | Triangulated Field Notes is a qualitative data collection technique in which field notes are recorded independently by multiple observers, from multiple vantage points, or at multiple time points and then systematically compared to strengthen the credibility and completeness of observational data. Rooted in Denzin's triangulation framework and Lincoln and Guba's trustworthiness criteria, the approach counters observer bias by cross-checking accounts before analysis begins. |
| ScholarGateНабор от данни ↗ |
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