方法对比
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| 基于面板的关系调查× | 纵向研究× | |
|---|---|---|
| 领域 | 研究设计 | 研究设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1940s onward (panel survey); relational survey as standard practice by mid-20th century | Late 19th–early 20th century; methodologically codified through the 20th century |
| 提出者≠ | Rooted in panel survey traditions systematized by Paul Lazarsfeld (1940s) and relational survey methodology codified by Kerlinger, Babbie, and de Leeuw | No single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett |
| 类型≠ | Quantitative observational longitudinal survey design | Quantitative (or mixed) observational research design |
| 开创性文献≠ | de Leeuw, E. D., Hox, J. J., & Dillman, D. A. (Eds.). (2008). International Handbook of Survey Methodology. Lawrence Erlbaum Associates / Taylor & Francis. ISBN: 978-0805857535 | Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841 |
| 别名 | longitudinal relational survey, panel relational study, repeated-measures correlational survey, panel correlational design | longitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study |
| 相关 | 4 | 4 |
| 摘要≠ | A panel-based relational survey is a quantitative design that recruits the same group of respondents and surveys them at two or more time points to examine how variables relate to, predict, or co-vary with one another over time. By combining the relational goal of uncovering associations among variables with the panel structure of repeated measurement from a stable sample, the design enables researchers to track how relationships evolve, test directional hypotheses about predictors and outcomes, and distinguish within-person change from between-person differences. | 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. |
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