ARC: Connections: ELMAR: TOC areas: methods: journals

Structural Equation Modeling  Relevant ARCategory: Marketing Journals

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Small-Sample Robust Estimators of Noncentrality-Based and Incremental Model Fit
–Walter Herzog; Anne Boomsma [Publisher] [Google Scholar]

A Two-Stage Approach to Synthesizing Covariance Matrices in Meta-Analytic Structural Equation Modeling
–Mike W. L. Cheung; Wai Chan [Publisher] [Google Scholar]

Using Goodness-of-Fit Indexes in Assessing Mean Structure Invariance
–Xitao Fan; Stephen A. Sivo [Publisher] [Google Scholar]

Effects of Missing Data Methods in Structural Equation Modeling With Nonnormal Longitudinal Data
–Tacksoo Shin; Mark L. Davison; Jeffrey D. Long [Publisher] [Google Scholar]

Interval Estimation of Interitem and Item-Total Correlations for Multiple Component Measuring Instruments With Ordinal Items
–Tenko Raykov; Gerhard Mels [Publisher] [Google Scholar]

Multidimensional Factor-Analysis-Based Procedures for Assessing Scalability in Personality Measurement
–Pere J. Ferrando [Publisher] [Google Scholar]

Self-Esteem and Method Effects Associated With Negatively Worded Items: Investigating Factorial Invariance by Sex
–Christine DiStefano; Robert W. Motl [Publisher] [Google Scholar]

Modeling Dynamic Functional Neuroimaging Data Using Structural Equation Modeling
–Larry R. Price; Angela R. Laird; Peter T. Fox; Roger J. Ingham [Publisher] [Google Scholar]

Using Mx to Analyze Cross-Level Effects in Two-Level Structural Equation Models
–Yun Bai; Wai-Yin Poon [Publisher] [Google Scholar]

Automating Multiple Software Packages in Simulation Research for Structural Equation Modeling and Hierarchical Linear Modeling
–Phill Gagné; Carolyn F. Furlow [Publisher] [Google Scholar]

A Review of “An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications” (2nd ed.).
–Kristopher J. Preacher [Publisher]

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