Сравнение методов

	Цифровая страуссианская обоснованная теория	Конструктивистская обоснованная теория
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	1990 (Strauss & Corbin foundational); digital adaptation 2000s–2010s	2000s (Charmaz 2000–2006; classic GT roots 1967)
Автор метода	Anselm Strauss & Juliet Corbin (foundational GT); adapted to digital contexts by subsequent methodologists	Kathy Charmaz (building on Glaser & Strauss, 1967)
Тип	Qualitative research design and analysis approach	Qualitative research method
Основополагающий источник	Strauss, A., & Corbin, J. (1998). Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory (2nd ed.). Sage. ISBN: 978-0803959408	Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973539
Другие названия	digital GT (Straussian), Straussian GT in digital contexts, online Straussian grounded theory, digital Strauss-Corbin grounded theory	CGT, constructivist GT, Charmaz grounded theory, interpretive grounded theory
Связанные	6	6
Сводка	Digital Straussian grounded theory applies the systematic, coding-driven approach of Strauss and Corbin's grounded theory to digital data sources such as online forums, social media, chat logs, and digital documents. It retains the Straussian paradigm model and three-stage coding structure — open, axial, and selective — while adapting sampling strategies, theoretical saturation criteria, and ethical protocols to the unique features of online and digital research environments.	Constructivist Grounded Theory (CGT) is a qualitative methodology developed by Kathy Charmaz that systematically builds mid-range theory from empirical data through iterative coding, memo-writing, and theoretical sampling. Unlike the original objectivist version by Glaser and Strauss, CGT treats both data and theory as co-constructed between researcher and participants, acknowledging the researcher's interpretive perspective as an integral part of the analytic process rather than a source of bias to be eliminated.