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ERIC Number: EJ945267
Record Type: Journal
Publication Date: 2011-Sep
Pages: 16
Abstractor: As Provided
Reference Count: 46
ISSN: ISSN-1082-989X
A Cautionary Note on Modeling Growth Trends in Longitudinal Data
Kuljanin, Goran; Braun, Michael T.; DeShon, Richard P.
Psychological Methods, v16 n3 p249-264 Sep 2011
Random coefficient and latent growth curve modeling are currently the dominant approaches to the analysis of longitudinal data in psychology. The application of these models to longitudinal data assumes that the data-generating mechanism behind the psychological process under investigation contains only a deterministic trend. However, if a process, at least partially, contains a stochastic trend, then random coefficient regression results are likely to be spurious. This problem is demonstrated via a data example, previous research on simple regression models, and Monte Carlo simulations. A data analytic strategy is proposed to help researchers avoid making inaccurate inferences when observed trends may be due to stochastic processes. (Contains 4 figures, 2 footnotes and 4 tables.)
American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A