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ERIC Number: EJ921796
Record Type: Journal
Publication Date: 2011
Pages: 17
Abstractor: As Provided
Reference Count: 47
ISSN: ISSN-1070-5511
Accuracy of Estimates and Statistical Power for Testing Meditation in Latent Growth Curve Modeling
Cheong, JeeWon
Structural Equation Modeling: A Multidisciplinary Journal, v18 n2 p195-211 2011
The latent growth curve modeling (LGCM) approach has been increasingly utilized to investigate longitudinal mediation. However, little is known about the accuracy of the estimates and statistical power when mediation is evaluated in the LGCM framework. A simulation study was conducted to address these issues under various conditions including sample size, effect size of mediated effect, number of measurement occasions, and R[superscript 2] of measured variables. In general, the results showed that relatively large samples were needed to accurately estimate the mediated effects and to have adequate statistical power, when testing mediation in the LGCM framework. Guidelines for designing studies to examine longitudinal mediation and ways to improve the accuracy of the estimates and statistical power were discussed. (Contains 3 figures, 1 footnote, and 3 tables.)
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A