Longitudinal Research: The Theory, Design, and Analysis of Change

被引:1002
作者
Ployhart, Robert E. [1 ]
Vandenberg, Robert J. [2 ]
机构
[1] Univ S Carolina, Moore Sch Business, Columbia, SC 29208 USA
[2] Univ Georgia, Athens, GA 30602 USA
关键词
longitudinal research; change; growth modeling; hierarchical linear modeling; HLM; structural equation modeling; SEM; SELF-EFFICACY; MAXIMUM-LIKELIHOOD; GROWTH-MODELS; MISSING DATA; PATTERNS; VIEW; TIME;
D O I
10.1177/0149206309352110
中图分类号
F [经济];
学科分类号
02 ;
摘要
The purpose of this article is to present cutting-edge research on issues relating to the theory, design, and analysis of change. Rather than a highly technical review, our goal is to provide management scholars with a relatively nontechnical single source useful for helping them develop and evaluate longitudinal research. Toward that end, we provide readers with "checklists" of issues to consider when theorizing and designing a longitudinal study. We also discuss the trade-offs among analytic strategies (repeated measures general linear model, random coefficient modeling, and latent growth modeling), circumstances in which such methods are most appropriate, and ways to analyze data when one is using each approach.
引用
收藏
页码:94 / 120
页数:27
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