Interest in testing interaction terms within the latent variable modeling framework has been on the rise in recent years. However, little is known about the influence of nonnormality and model misspecification on such models that involve latent variable interactions. The authors used Mattson's data generation method to control for latent variable…

The authors investigated 2 issues concerning the power of latent growth modeling (LGM) in detecting linear growth: the effect of the number of repeated measurements on LGM's power in detecting linear growth and the comparison between LGM and some other approaches in terms of power for detecting linear growth. A Monte Carlo simulation design was…

Studied the effectiveness of various analytical formulas for estimating "R" squared shrinkage in multiple regression analysis, focusing on estimators of the squared population multiple correlation coefficient and the squared population cross validity coefficient. Simulation results suggest that the most widely used Wherry (R. Wherry, 1931) formula…

Studied the effects of parental involvement on students' academic growth during high school using data from the National Education Longitudinal Study of 1988 with latent growth curve analysis in the framework of structural equation modeling. Discusses the ways in which parental involvement was found to be multidimensional. (SLD)

Data from national samples from the National Education Longitudinal Study of 1988 were used to study gender differences in mathematics achievement. Gender differences were not found when total group means were compared, but noteworthy differences favoring males were found at the high end of the score distributions. (SLD)

Empirical results based on comparison with Monte Carlo estimates and using sample sizes of 200, 100, 50, and 20 suggested that the bootstrap technique provides less biased and more consistent results than the jackknife technique for a case of canonical correlation analysis. (SLD)