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INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: TOCs

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Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons
—Alexander Robitzsch & Oliver Lüdtke [] []

Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates
—Philipp Sterner & David Goretzko [] []

Variable Selection for Mediators under a Bayesian Mediation Model
—Dingjing Shi, Dexin Shi & Amanda J. Fairchild [] []

Comparison of Two Approaches to Detecting Switched Class Labels in LCA Simulations: Class Assignment vs. Class Similarity
—Yi-Kai Chen, Tong-Rong Yang & Li-Jen Weng [] []

Estimating Latent Baseline-by-Treatment Interactions in Statistical Mediation Analysis
—Oscar Gonzalez, Jeno R. Millechek & A. R. Georgeson [] []

An Evaluation of Non-Iterative Estimators in the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM)
—Sara Dhaene & Yves Rosseel [] []

A Model-Based Shrinkage Target to Avoid Non-convergence in Small Sample SEM
—Julie De Jonckere & Yves Rosseel [] []

Striving for Sparsity: On Exact and Approximate Solutions in Regularized Structural Equation Models
—Jannik H. Orzek, Manuel Arnold & Manuel C. Voelkle [] []

Teacher’s Corner

The regDIF R Package: Evaluating Complex Sources of Measurement Bias Using Regularized Differential Item Functioning
—William C. M. Belzak [] []

semlbci: An R package for Forming Likelihood-Based Confidence Intervals for Parameter Estimates, Correlations, Indirect Effects, and Other Derived Parameters
—Shu Fai Cheung & Ivan Jacob Agaloos Pesigan [] []

Illustrating the Value of Prior Predictive Checking for Bayesian Structural Equation Modeling
—Sonja D. Winter & Sarah Depaoli [] []

Review

Review of Handbook of Structural Equation Modeling (2nd ed.), Edited by Rick H. Hoyle, The Guilford Press (2023), 785 pp. $125.00 (Hardcover), ISBN: 978-1462544646
—Jam Khojasteh []