The effect of multiple indicators on the power to detect inter-individual differences in change TimovonOertzen 1 *,ChristopherHertzog 2 ,UlmanLindenberger 1
Published: Jan 1, 2010
Abstract
Hertzog et al. evaluated the statistical power of linear latent growth curve models(LGCMs) to detect individual differences in change, i.e., variances of latent slopes, as afunction of sample size, number of longitudinal measurement occasions, and growthcurve reliability. We extend this work by investigating the effect of the number ofindicators per measurement occasion on power. We analytically demonstrate that thepositive effect of multiple...
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