ÂÜÀòÉç¹ÙÍø

Inference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach
–Gitta H. Lubke & Ian Campbell [] []

Assessing Model Similarity in Structural Equation Modeling
–Keke Lai, Samuel B. Green, Roy Levy, Ray E. Reichenberg, Yuning Xu, Marilyn S. Thompson, Nedim Yel, Natalie D. Eggum-Wilkens, Katie L. Kunze & Masumi Iida [] []

Impact of Misspecifications of the Latent Variance–Covariance and Residual Matrices on the Class Enumeration Accuracy of Growth Mixture Models
–Thierno M. O. Diallo, Alexandre J. S. Morin & HuiZhong Lu [] []

Test Reliability at the Individual Level
–Yueqin Hu, John R. Nesselroade, Monica K. Erbacher, Steven M. Boker, S. Alexandra Burt, Pamela K. Keel, Michael C. Neale, Cheryl L. Sisk & Kelly Klump [] []

Maximal Criterion Validity and Scale Criterion Validity: A Latent Variable Modeling Approach for Examining Their Difference
–Tenko Raykov, Siegfried Gabler & Dimiter M. Dimitrov [] []

Regularized Structural Equation Modeling
–Ross Jacobucci, Kevin J. Grimm & John J. McArdle [] []

Comparisons of Three Empirical Methods for Partial Factorial Invariance: Forward, Backward, and Factor-Ratio Tests
–Eunju Jung & Myeongsun Yoon [] []

Evaluating the Selection of Normal-Theory Weight Matrices in the Satorra–Bentler Correction of Chi-Square and Standard Errors
–Yan Xia, Yiu-Fai Yung & Wei Zhang [] []

Examining Normality in Incomplete Data Sets: A Note on a Multiple Testing Approach
–Tenko Raykov, Chun-Lung Lee & George A. Marcoulides [] []

Teacher’s Corner

Modeling Predictors of Latent Classes in Regression Mixture Models
–Minjung Kim, Jeroen Vermunt, Zsuzsa Bakk, Thomas Jaki & M. Lee Van Horn [] []

A Note on the Use of Mixture Models for Individual Prediction
–Veronica T. Cole & Daniel J. Bauer [] []

Book Review

Review of Growth Curve Modeling: Theory and Applications, by Michael J. Panik
–Nathan B. Smith & Shelley A. Blozis [] []

---