Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Лонгитюдное (продольное) исследование методом опроса× | Исследование трендов× | |
|---|---|---|
| Область | Дизайн исследования | Дизайн исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | Mid-20th century (formalized ~1950s–1970s) | Mid-20th century (formalised in social science methodology ~1950s–1960s) |
| Автор метода≠ | Survey methodology tradition; codified in social sciences by scholars including W.S. Robinson (1950) and later Scott Menard | Earl Babbie and survey research tradition |
| Тип≠ | Quantitative observational research design | Quantitative longitudinal research design |
| Основополагающий источник≠ | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922452 | Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). Sage. ISBN: 978-1452226101 |
| Другие названия | longitudinal survey study, repeated-measures survey, prospective survey design, panel survey | trend study, trend survey, longitudinal trend study, time-series survey |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Longitudinal survey research collects structured questionnaire data from the same individuals (or units) at two or more points in time. Unlike a one-shot cross-sectional survey, this design captures change, stability, and temporal ordering of variables — enabling researchers to track trajectories, test causal sequences, and distinguish cohort effects from aging effects within a quantitative framework. | Trend research is a longitudinal quantitative design that tracks changes in a characteristic of a general population over time by surveying different, independently drawn samples at two or more time points. Unlike panel studies, the same individuals are not followed; rather, each wave draws a fresh sample from the same population, allowing researchers to detect population-level shifts in attitudes, behaviours, or conditions while avoiding the attrition and panel conditioning problems of repeated-measures designs. |
| ScholarGateНабор данных ↗ |
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