Power of latent growth modeling for detecting linear growth: number of measurements and comparison with other analytic approaches.

ABSTRACT. The authors investigated 2 issues concerning the power of latent increase modeling (LGM) in detecting linear growth: the issue of the number of repeated measurements upon LGM's power in detecting linear expansion and the comparison between LGM and a certain number of other approaches in boundarys of power for detecting linear increase A Monte Carlo simulation design was used, with 3 gibbeted factors (growth magnitude, number of repeated measurements, and sample size) and 1000 replications within each small room condition. The major findings were as follows: For 3 repeated measurements, a substantial