TOC: Multivariate Behav Res
Introduction
Multivariate Behavioral Research, 49(6)
Bayesian Model Averaging for Propensity Score Analysis
–David Kaplan & Jianshen Chen [] []
Ignoring Clustering in Confirmatory Factor Analysis: Some Consequences for Model Fit and Standardized Parameter Estimates
–Sunthud Pornprasertmanit, Jaehoon Lee & Kristopher J. Preacher [] []
Using Two-Level Factor Analysis to Test for Cluster Bias in Ordinal Data
–Suzanne Jak, Frans J. Oort & Conor V. Dolan [] []
Modeling Coordination in Multiple Simultaneous Latent Change Scores
–Jonathan E. Butner, Cynthia A. Berg, Brian R. Baucom & Deborah J. Wiebe [] []
Graphical Data Analysis on the Circle: Wrap-Around Time Series Plots for (Interrupted) Time Series Designs
–Joseph Lee Rodgers, William Howard Beasley & Matthew Schuelke [] []
Using the Bollen-Stine Bootstrapping Method for Evaluating Approximate Fit Indices
–Hanjoe Kim & Roger Millsap [] []
Model Conditioned Data Elasticity in Path Analysis: Assessing the “Confoundability” of Model/Data Characteristics
–Dustin A. Fife, Joseph Lee Rodgers & Jorge L. Mendoza [] []
Handling Missing Covariates in Conditional Mixture Models Under Missing at Random Assumptions
–Sonya K. Sterba [] []