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Triangulated Semi-structured Interview×Thematic Analysis×
תחוםמתודולוגיית סקריםמחקר איכותני
משפחהProcess / pipelineProcess / pipeline
שנת המקורFormalized in practice from the late 1970s onward2006
הוגה השיטהSynthesized from Norman K. Denzin (triangulation) and H. Russell Bernard (semi-structured interviewing)Virginia Braun and Victoria Clarke
סוגQualitative data collection techniqueMethod
מקור מכונןDenzin, 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 ↗
כינוייםtriangulated qualitative interview, multi-source semi-structured interview, triangulated in-depth interview, convergent interview strategyTA, Reflexive Thematic Analysis
קשורות33
תקצירA 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.
ScholarGateמערך נתונים
  1. v1
  2. 2 מקורות
  3. PUBLISHED
  1. v1
  2. 3 מקורות
  3. PUBLISHED

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ScholarGateהשוואת שיטות: Triangulated Semi-structured Interview · Thematic Analysis. אוחזר בתאריך 2026-06-18 מתוך https://scholargate.app/he/compare