Сравнение методов

	Конструктивистская обоснованная теория в лонгитюдном дизайне	Лонгитюдная обоснованная теория
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	2006 (Charmaz's constructivist GT); longitudinal application from ~2000s onward	1990s–2000s (as a recognized variant of grounded theory)
Автор метода	Kathy Charmaz (constructivist GT); extended to longitudinal designs by qualitative longitudinal researchers	Kathy Charmaz and longitudinal qualitative researchers (building on Glaser & Strauss)
Тип	Qualitative research design and analysis approach	Qualitative longitudinal research design
Основополагающий источник	Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973522	Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide through Qualitative Analysis. Sage. ISBN: 978-0761973522
Другие названия	longitudinal CGT, constructivist GT longitudinal, longitudinal Charmaz grounded theory, temporal constructivist grounded theory	LGT, longitudinal GT, temporal grounded theory, grounded theory longitudinal design
Связанные	5	5
Сводка	Longitudinal Constructivist Grounded Theory combines Kathy Charmaz's constructivist variant of grounded theory — which foregrounds the co-construction of meaning between researcher and participants — with a multi-wave, time-extended data collection design. Rather than capturing a single snapshot, the researcher returns to the same participants across two or more time points, allowing the emergent theory to track how processes, identities, and social meanings develop, shift, or stabilise over time.	Longitudinal grounded theory is a qualitative research design that applies grounded theory's inductive, iterative logic to data collected from the same participants or settings across multiple time points. It is used to build substantive theory that accounts not only for social processes but also for how those processes unfold, shift, and are renegotiated over time. The approach is particularly suited to studying change, trajectory, and temporal experience in social and health research.