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TOC: Multivariate Behav Res

Introduction

Multivariate Behavioral Research, 51(1)

Editorial
Peter Molenaar []

Challenges in Integrating Bayesian and Frequentist Perspectives: A Discussion

Why Bayesian Psychologists Should Change the Way They Use the Bayes Factor
Herbert Hoijtink, Pascal van Kooten & Koenraad Hulsker [] []

Calibrated Bayes Factors Should Not Be Used: A Reply to Hoijtink, van Kooten, and Hulsker
Richard D. Morey, Eric-Jan Wagenmakers & Jeffrey N. Rouder [] []

Bayes Factors Have Frequency Properties—This Should Not Be Ignored: A Rejoinder to Morey, Wagenmakers, and Rouder
Herbert Hoijtink, Pascal van Kooten & Koenraad Hulsker [] []

A Test by Any Other Name: P Values, Bayes Factors, and Statistical Inference
Hal S. Stern [] []

Moving in Parallel Toward a Modern Modeling Epistemology: Bayes Factors and Frequentist Modeling Methods
Joseph Lee Rodgers [] []

Original Articles

Regression Mixture Models: Does Modeling the Covariance Between Independent Variables and Latent Classes Improve the Results?
Andrea E. Lamont, Jeroen K. Vermunt & M. Lee Van Horn [] []

Testing for Granger Causality in the Frequency Domain: A Phase Resampling Method
Siwei Liu & Peter Molenaar [] []

A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
Tobias Koch, Martin Schultze, Minjeong Jeon, Fridtjof W. Nussbeck, Anna-Katharina Praetorius & Michael Eid [] []

Assessing Omitted Confounder Bias in Multilevel Mediation Models
Davood Tofighi & Ken Kelley [] []

Bayesian Data Analysis with the Bivariate Hierarchical Ornstein-Uhlenbeck Process Model
Zita Oravecz, Francis Tuerlinckx & Joachim Vandekerckhove [] []

Incorporating Mobility in Growth Modeling for Multilevel and Longitudinal Item Response Data
In-Hee Choi & Mark Wilson [] []