方法对比
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| 队列研究× | 纵向调查× | 重复测量方差分析× | |
|---|---|---|---|
| 领域≠ | 流行病学 | 调查方法论 | 统计学 |
| 方法族≠ | Process / pipeline | Process / pipeline | Hypothesis test |
| 起源年份≠ | Mid-20th century (formal epidemiological design codified ~1950s) | 1940s (panel survey tradition); longitudinal designs codified mid-20th century | 1992 |
| 提出者≠ | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) | Established tradition; formalized in social science by Paul Lazarsfeld and colleagues (1940s panel studies) | Girden (textbook treatment); Field (2013) |
| 类型≠ | Observational longitudinal study design | Quantitative / mixed-methods survey design | Parametric within-subjects mean comparison |
| 开创性文献≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922292 | Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed., Ch. 14). SAGE. ISBN: 978-1446249185 |
| 别名 | longitudinal study, follow-up study, panel study, incidence study | panel survey, repeated-measures survey, longitudinal panel study, wave survey | within-subjects ANOVA, repeated measures analysis of variance, rm-ANOVA, Tekrarlı Ölçüm ANOVA |
| 相关≠ | 6 | 3 | 4 |
| 摘要≠ | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. | 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. | Repeated-measures ANOVA is a parametric hypothesis test that compares three or more measurements taken from the same individuals — typically across time points or conditions — to decide whether their means differ. It extends one-way ANOVA to within-subjects designs, as treated in standard references such as Girden (1992) and Field (2013). |
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