Сравнение методов

	Триангулированное структурированное интервью	Триангулированное исследование
Область	Методология опросов	Методология опросов
Семейство	Process / pipeline	Process / pipeline
Год появления	1978 (Denzin's triangulation framework); structured interviews in use from early 20th century	1978 (Denzin); widely operationalized in survey contexts from the 1990s onward
Автор метода	Norman K. Denzin (triangulation framework); structured interview tradition predates	Norman K. Denzin (triangulation concept); Alan Bryman (mixed-methods survey application)
Тип	Triangulated quantitative/qualitative data collection technique	Mixed-methods data collection design
Основополагающий источник	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.
Другие названия	triangulated standardized interview, multi-source structured interview, cross-validated structured interview	survey triangulation, multi-method survey, convergent survey design, cross-validated survey
Связанные	3	5
Сводка	A triangulated structured interview applies the triangulation principle — using multiple independent sources, methods, or perspectives to cross-validate findings — to the structured interview format. The researcher administers the same fixed set of questions across different respondent groups, time points, or complementary data sources, then systematically compares the results to confirm, qualify, or explain discrepancies. This strengthens confidence in the accuracy of the data beyond what any single structured interview session could provide.	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.