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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
Vaughan, Timothy S.; Berry, Kelly E. – Journal of Statistics Education, 2005
This article presents an in-class Monte Carlo demonstration, designed to demonstrate to students the implications of multicollinearity in a multiple regression study. In the demonstration, students already familiar with multiple regression concepts are presented with a scenario in which the "true" relationship between the response and…
Descriptors: Predictor Variables, Computation, Lesson Plans, Statistics
