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Direct linkCurran, Patrick J.; Bauer, Daniel J.; Willoughby, Michael T. – Psychological Methods, 2004
A key strength of latent curve analysis (LCA) is the ability to model individual variability in rates of change as a function of 1 or more explanatory variables. The measurement of time plays a critical role because the explanatory variables multiplicatively interact with time in the prediction of the repeated measures. However, this interaction…
Descriptors: Multiple Regression Analysis, Predictive Measurement, Models, Item Response Theory
Hedges, Larry V.; Pigott, Therese D. – Psychological Methods, 2004
Calculation of the statistical power of statistical tests is important in planning and interpreting the results of research studies, including meta-analyses. It is particularly important in moderator analyses in meta-analysis, which are often used as sensitivity analyses to rule out moderator effects but also may have low statistical power. This…
Descriptors: Goodness of Fit, Multiple Regression Analysis, Effect Size, Statistical Analysis
