Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Продольное полуструктурированное интервью× | Лонгитюдное (продольное) исследование× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s (as explicit methodology) | 1940s (panel survey tradition); longitudinal designs codified mid-20th century |
| Автор метода≠ | Rooted in longitudinal qualitative research traditions; systematised by Johnny Saldana and Rachel Thomson & Janet Holland | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) |
| Тип≠ | Qualitative longitudinal data collection technique | Quantitative / mixed-methods survey design |
| Основополагающий источник≠ | Saldana, J. (2003). Longitudinal Qualitative Research: Analyzing Change Through Time. AltaMira Press. ISBN: 978-0759100480 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 |
| Другие названия | LSI, repeated semi-structured interview, panel qualitative interview, longitudinal qualitative interview | panel survey, repeated-measures survey, longitudinal panel study, wave survey |
| Связанные≠ | 6 | 3 |
| Сводка≠ | A longitudinal semi-structured interview study collects open-ended, guided interview data from the same participants across multiple time points. By returning to the same individuals — weeks, months, or years apart — researchers can trace how experiences, perceptions, and meanings change over time. The approach blends the flexibility of qualitative inquiry with the temporal depth that is impossible in a one-shot design, making it a cornerstone method in qualitative longitudinal research. | A longitudinal survey collects structured questionnaire data from the same individuals or units at two or more distinct points in time. By tracking the same respondents across waves, researchers can distinguish genuine change from stable individual differences, establish temporal ordering between variables, and model trajectories of attitudes, behaviors, or outcomes in ways that a single cross-sectional snapshot cannot support. |
| ScholarGateНабор данных ↗ |
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