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多变量纵向研究×纵向研究×
领域研究设计研究设计
方法族Process / pipelineProcess / pipeline
起源年份1970s–1980s (formalized in behavioral sciences literature)Late 19th–early 20th century; methodologically codified through the 20th century
提出者Nesselroade, Baltes, and the developmental/behavioral sciences traditionNo single originator; foundational methodological treatments by Stuart Menard and Judith Singer & John Willett
类型Quantitative observational research designQuantitative (or mixed) observational research design
开创性文献Nesselroade, J. R., & Baltes, P. B. (Eds.). (1979). Longitudinal Research in the Study of Behavior and Development. Academic Press. ISBN: 978-0125154505Menard, S. (2002). Longitudinal Research (2nd ed.). Sage Publications. ISBN: 978-0761922841
别名longitudinal multivariate design, MLR, multivariate panel study, multivariate repeated-measures designlongitudinal study, longitudinal design, prospective longitudinal study, repeated-measures observational study
相关44
摘要Multivariate longitudinal research is a quantitative observational design that follows the same units — individuals, groups, or organizations — across two or more time points while measuring several outcome and predictor variables simultaneously. By combining the temporal dimension of longitudinal tracking with multivariate statistical analysis, it allows researchers to examine how a system of variables co-evolves, how early measures predict later outcomes across multiple domains, and whether relationships among variables are stable or change over time.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.
ScholarGate数据集
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  3. PUBLISHED

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ScholarGate方法对比: Multivariate Longitudinal Research · Longitudinal Research. 于 2026-06-18 检索自 https://scholargate.app/zh/compare