TOC: Structural Equation Modeling
Introduction
Structural Equation Modeling: A Multidisciplinary Journal, 20(2)
Neglect the Structure of Multitrait-Multimethod Data at Your Peril: Implications for Associations With External Variables
–Laura Castro-Schilo, Keith F. Widaman & Kevin J. Grimm [] []
Combining IRT and SEM: A Hybrid Model for Fitting Responses and Response Certainties
–Pere J. Ferrando, Cristina Anguiano-Carrasco & Josep Demestre [] []
A Permutation Test for Correlated Errors in Adjacent Questionnaire Items
–Laura A. Hildreth, Ulrike Genschel, Frederick O. Lorenz & Virginia M. Lesser [] []
Sample Size Limits for Estimating Upper Level Mediation Models Using Multilevel SEM
–Xin Li & S. Natasha Beretvas [] []
A Test for Cluster Bias: Detecting Violations of Measurement Invariance Across Clusters in Multilevel Data
–Suzanne Jak, Frans J. Oort & Conor V. Dolan [] []
Sensitivity Analysis of Multiple Informant Models When Data Are Not Missing at Random
–Shelley A. Blozis, Xiaojia Ge, Shu Xu, Misaki N. Natsuaki, Daniel S. Shaw, Jenae M. Neiderhiser, Laura V. Scaramella, Leslie D. Leve & David Reiss [] []
Explaining Method Effects Associated With Negatively Worded Items in Trait and State Global and Domain-Specific Self-Esteem Scales
–José M. Tomás, Amparo Oliver, Laura Galiana, Patricia Sancho & Marisol Lila [] []
Teacher’s Corner
Analyzing Mixed-Dyadic Data Using Structural Equation Models
–James L. Peugh, David DiLillo & Jillian Panuzio []
Meta-Analysis of Scale Reliability Using Latent Variable Modeling
–Tenko Raykov & George A. Marcoulides []
Book Reviews
Handbook of Structural Equation Modeling
–Andrea L. Howard []
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