期刊
JOURNAL OF MANAGEMENT
卷 36, 期 1, 页码 94-120出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0149206309352110
关键词
longitudinal research; change; growth modeling; hierarchical linear modeling; HLM; structural equation modeling; SEM
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.
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