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• W2034989530 abstract "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 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." @default.
• W2034989530 created "2016-06-24" @default.
• W2034989530 creator A5082531504 @default.
• W2034989530 date "2011-04-06" @default.
• W2034989530 modified "2023-10-10" @default.
• W2034989530 title "Accuracy of Estimates and Statistical Power for Testing Meditation in Latent Growth Curve Modeling" @default.
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• W2034989530 doi "https://doi.org/10.1080/10705511.2011.557334" @default.
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