Jämför metoder

	Jämförande Strausssiansk Grounded Theory	Klassisk Grounded Theory
Ämnesområde	Kvalitativa metoder	Kvalitativa metoder
Familj	Process / pipeline	Process / pipeline
Ursprungsår	1967 (discovery); systematic Straussian procedures codified 1990/1998	1967
Upphovsperson	Anselm Strauss & Juliet Corbin (Straussian GT); comparative extension built on Glaser & Strauss (1967)	Barney G. Glaser and Anselm L. Strauss
Typ	Qualitative comparative research design	Qualitative research method
Ursprungskälla	Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage. ISBN: 978-0803959408	Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine.
Alias	Strauss-Corbin comparative GT, comparative systematic grounded theory, multi-site Straussian GT, comparative grounded theory (Straussian)	Glaserian GT, CGT, original grounded theory, classic GT
Närliggande	6	6
Sammanfattning	Comparative 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.	Classic Grounded Theory (CGT) is a systematic qualitative methodology for generating substantive theory from empirical data. Developed by Barney Glaser and Anselm Strauss in 1967, it uses iterative cycles of data collection, constant comparison, and memo writing to produce a core category and surrounding conceptual framework that explains a social or psychological process. Unlike its later variants, Glaserian CGT insists on emergence — theory must arise from data without forcing preconceived frameworks.