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Teoria Fonamentada Comparativa Strausiana×Anàlisi Temàtica×
CampQualitativaRecerca qualitativa
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1967 (discovery); systematic Straussian procedures codified 1990/19982006
Autor originalAnselm Strauss & Juliet Corbin (Straussian GT); comparative extension built on Glaser & Strauss (1967)Virginia Braun and Victoria Clarke
TipusQualitative comparative research designMethod
Font seminalStrauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage. ISBN: 978-0803959408Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗
ÀliesStrauss-Corbin comparative GT, comparative systematic grounded theory, multi-site Straussian GT, comparative grounded theory (Straussian)TA, Reflexive Thematic Analysis
Relacionats63
ResumComparative Straussian Grounded Theory applies the systematic open–axial–selective coding framework of Strauss and Corbin across two or more purposively selected contexts, groups, or sites to generate theory that explains both within-context processes and cross-context variation. The constant comparative method — the analytic engine first described by Glaser and Strauss (1967) — is elevated to a deliberate design-level strategy, allowing researchers to build mid-range theory that accounts for how social processes unfold differently under varying conditions.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.
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ScholarGateCompara mètodes: Comparative Straussian Grounded Theory · Thematic Analysis. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare