Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Сравнительное исследование тенденций× | Лонгитюдное исследование× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1970s–1990s (formalized alongside longitudinal and trend designs) | Late 19th–early 20th century; methodologically codified through the 20th century |
| Автор метода≠ | Developed within the survey research tradition; comparative extension attributed broadly to Babbie, Creswell, and related methodologists | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| Тип≠ | Quantitative non-experimental design | Quantitative (or mixed) observational research design |
| Основополагающий источник≠ | Creswell, J. W. (2002). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (2nd ed.). Sage Publications. ISBN: 978-0761924425 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| Другие названия | comparative trend study, multi-group trend study, cross-group trend analysis, comparative longitudinal survey | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| Связанные≠ | 3 | 4 |
| Сводка≠ | Comparative trend research is a quantitative non-experimental design that tracks changes in one or more variables over time within two or more distinct groups or populations. By drawing independent cross-sectional samples from each group at multiple time points, it reveals whether trends diverge, converge, or differ in magnitude across groups — answering not just 'is this changing?' but 'is it changing differently for different populations?' | Longitudinal research is an observational design in which the same participants, groups, or units are measured repeatedly over an extended period. Rather than capturing a single snapshot, it tracks change, stability, and temporal sequencing of variables — making it the primary non-experimental strategy for studying development, growth, decline, and the unfolding of causal processes across time. |
| ScholarGateНабор данных ↗ |
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