مقایسهٔ روش‌ها

	نظریه داده‌بنیاد کلاسیک طولی	نظریه داده‌بنیاد طولی استراوسی
حوزه	کیفی	کیفی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1967 (classic GT); longitudinal application developed from 1980s onward	1990s–2000s (systematic longitudinal application emerged ~2000–2010)
پدیدآور	Barney G. Glaser and Anselm L. Strauss (classic GT); longitudinal extension by later methodologists	Anselm Strauss & Juliet Corbin (grounded theory basis); extended by qualitative longitudinal researchers (e.g., Bren Neale, Julia Brannen)
نوع	Qualitative longitudinal research design	Qualitative research design and analytic approach
منبع بنیادین	Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607	Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage. ISBN: 978-0803959408
نام‌های دیگر	Longitudinal CGT, Glaserian longitudinal grounded theory, classic GT longitudinal design, longitudinal substantive theory building	longitudinal GT (Straussian), Strauss-Corbin longitudinal grounded theory, processual grounded theory, longitudinal constructivist grounded theory
مرتبط	6	5
خلاصه	Longitudinal Classic Grounded Theory applies Glaser and Strauss's original discovery-oriented grounded theory method across two or more data collection waves separated by time. The approach tracks how social processes, behaviors, and conceptual categories evolve, allowing the researcher to build a substantive theory that captures change and continuity rather than a single static snapshot of a phenomenon.	Longitudinal Straussian Grounded Theory applies the systematic coding procedures of Strauss and Corbin's grounded theory — open, axial, and selective coding — to data gathered across multiple time points. Rather than producing a static snapshot of a social phenomenon, it tracks how processes, identities, or conditions evolve, generating a substantive theory grounded in change over time. It is particularly powerful for studying social processes that unfold across months or years.