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Триангулированное полуструктурированное интервью×Тематический анализ×
ОбластьМетодология опросовКачественные исследования
СемействоProcess / pipelineProcess / pipeline
Год появленияFormalized in practice from the late 1970s onward2006
Автор методаSynthesized from Norman K. Denzin (triangulation) and H. Russell Bernard (semi-structured interviewing)Virginia Braun and Victoria Clarke
ТипQualitative data collection techniqueMethod
Основополагающий источникDenzin, N. K. (1978). The Research Act: A Theoretical Introduction to Sociological Methods (2nd ed.). McGraw-Hill. link ↗Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
Другие названияtriangulated qualitative interview, multi-source semi-structured interview, triangulated in-depth interview, convergent interview strategyTA, Reflexive Thematic Analysis
Связанные33
СводкаA triangulated semi-structured interview strategy combines the flexibility of open-ended, guided interviewing with deliberate triangulation across multiple informant groups, data sources, or interview occasions. By applying the same semi-structured protocol to different participant perspectives — such as clients, providers, and managers — or by pairing interviews with documents and observations, the approach cross-validates emerging themes and reduces the risk that any single viewpoint dominates the findings. The result is richer, more credible qualitative data than a single-source interview study can deliver.Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences.
ScholarGateНабор данных
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ScholarGateСравнение методов: Triangulated Semi-structured Interview · Thematic Analysis. Получено 2026-06-18 из https://scholargate.app/ru/compare