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Cited by 786

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Growth Modeling Using Random Coefficient Models: Model Building, Testing, and Illustrations

Bliese, Paul D., Ployhart, Robert E.·2002·Organizational Research Methods

Abstract

In this article, the authors illustrate how random coefficient modeling can be used to develop growth models for the analysis of longitudinal data. In contrast to previous discussions of random coefficient models, this article provides step-by-step guidance using a model comparison framework. By approaching the modeling this way, the authors are able to build off a regression foundation and progressively estimate and evaluate more complex models. In the model comparison framework, the article illustrates the value of using likelihood tests to contrast alternative models (rather than the typical reliance on tests of significance involving individual parameters), and it provides code in the open-source language R to allow readers to replicate the results. The article concludes with practical guidelines for estimating growth models.

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Metadata

Authors
Bliese, P. D., & Ployhart, R. E.
Venue
Organizational Research Methods
Published
2002-10
Volume
5
Issue
4
Pages
362-387
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
OpenAlex
W2031261250
Cited by
786
References
1
FWCI
5.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Growth Modeling Using Random Coefficient Models: Model Building, Testing, and Illustrations. https://app.cochat.ai/papers/10.1177/109442802237116
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Bliese, P. D., & Ployhart, R. E. (2002). Growth Modeling Using Random Coefficient Models: Model Building, Testing, and Illustrations. Organizational Research Methods. https://doi.org/10.1177/109442802237116

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.