方法证据记录
SEM Power Analysis
Power analysis for SEM and other multivariate procedures determines the minimum sample size required to detect a model misfit of a specified magnitude with adequate probability. The dominant approach, introduced by MacCallum, Browne, and Sugawara in 1996, expresses effect size as the Root Mean Square Error of Approximation (RMSEA) and derives power from the noncentral chi-square distribution.
源记录
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Power Analysis for Structural Equation Modeling and Multivariate Analyses
分类方法记录 · hypothesis-test / statistics
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