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Nimon, Kim; Henson, Robin K.; Gates, Michael S. – Multivariate Behavioral Research, 2010
In the face of multicollinearity, researchers face challenges interpreting canonical correlation analysis (CCA) results. Although standardized function and structure coefficients provide insight into the canonical variates produced, they fall short when researchers want to fully report canonical effects. This article revisits the interpretation of…
Descriptors: Multivariate Analysis, Data Analysis, Data Interpretation, Computer Software
Voelkle, Manuel C. – Multivariate Behavioral Research, 2008
The simultaneous estimation of autoregressive (simplex) structures and latent trajectories, so called ALT (autoregressive latent trajectory) models, is becoming an increasingly popular approach to the analysis of change. Although historically autoregressive (AR) and latent growth curve (LGC) models have been developed quite independently from each…
Descriptors: Simulation, Computation, Pattern Recognition, Skill Development

Pavur, Robert; Nath, Ravinder – Multivariate Behavioral Research, 1984
Several general correlation patterns are shown which give exact F tests in an analysis of variance (ANOVA) procedure. They are the most general correlation patterns one can assume in a one-way and two-way layout and still have the F tests be valid. (Author/BW)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Data Interpretation