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TOC: Multivariate Behav Res

Introduction

Multivariate Behavioral Research, 51(6)

On the Relationship Between Confidence Sets and Exchangeable Weights in Multiple Linear Regression
Jolynn Pek, R. Philip Chalmers & Georges Monette [] []

Estimating Standardized Effect Sizes for Two- and Three-Level Partially Nested Data
Mark H. C. Lai & Oi-man Kwok [] []

Review Article

Robust Methods for Moderation Analysis with a Two-Level Regression Model
Miao Yang & Ke-Hai Yuan [] []

Goodness-of-Fit Assessment in Multidimensional Scaling and Unfolding
Patrick Mair, Ingwer Borg & Thomas Rusch [] []

Estimation Methods for Mixed Logistic Models with Few Clusters
Daniel McNeish [] []

A Note on Recurring Misconceptions When Fitting Nonlinear Mixed Models
Jeffrey R. Harring & Shelley A. Blozis [] []

Is the Bifactor Model a Better Model or Is It Just Better at Modeling Implausible Responses? Application of Iteratively Reweighted Least Squares to the Rosenberg Self-Esteem Scale
Steven P. Reise, Dale S. Kim, Maxwell Mansolf & Keith F. Widaman [] []

Editorial

Analyzing Complex Treatment Effects in Nonrandomized Observational Studies: The Case of Retention of Students in Grade
Stephen G. West [] []

Time-Varying Treatments in Observational Studies: Marginal Structural Models of the Effects of Early Grade Retention on Math Achievement
Machteld Vandecandelaere, Stijn Vansteelandt, Bieke De Fraine & Jan Van Damme [] []

Commentary

Identifying Causal Estimands for Time-Varying Treatments Measured with Time-Varying (Age or Grade-Based) Instruments
Peter M. Steiner, Soojin Park & Yongnam Kim [] []

Using Marginal Structural Modeling for Grade Retention Effects
Evgeniya Reshetnyak, Heining Cham & Jan N. Hughes [] []

Rejoinder: Remaining Challenges in Investigating Grade-Retention Effectiveness
Machteld Vandecandelaere & Stijn Vansteelandt [] []

Quantitative Methods in Practice: Tutorial

Multilevel Factor Analysis: Reporting Guidelines and a Review of Reporting Practices
Eun Sook Kim, Robert F. Dedrick, Chunhua Cao & John M. Ferron [] []