TOC: Multivariate Behav Res
Introduction
Multivariate Behavioral Research, 51(5)
A Bayesian Power Analysis Procedure Considering Uncertainty in Effect Size Estimates from a Meta-analysis
–Han Du & Lijuan Wang [] []
Hidden Markov Item Response Theory Models for Responses and Response Times
–Dylan Molenaar, Daniel Oberski, Jeroen Vermunt & Paul De Boeck [] []
Estimation of the Coefficient of Variation with Minimum Risk: A Sequential Method for Minimizing Sampling Error and Study Cost
–Bhargab Chattopadhyay & Ken Kelley [] []
Power Analysis for the Likelihood-Ratio Test in Latent Markov Models: Shortcutting the Bootstrap p-Value-Based Method
–Dereje W. Gudicha, Verena D. Schmittmann, Fetene B. Tekle & Jeroen K. Vermunt [] []
A Comparison of ML, WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study
–Jana Holtmann, Tobias Koch, Katharina Lochner & Michael Eid [] []
The Combined Effects of Measurement Error and Omitting Confounders in the Single-Mediator Model
–Matthew S. Fritz, David A. Kenny & David P. MacKinnon [] []
Quantitative Methods in Practice: Tutorials
Exploratory Bifactor Analysis: The Schmid-Leiman Orthogonalization and Jennrich-Bentler Analytic Rotations
–Maxwell Mansolf & Steven P. Reise [] []
