1. DiStefano, C., & Motl, R. W. (2006). Further investigating method effects associated with negatively worded items on self-report surveys. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 440-464.
2. Ferrando, P. J., & Condon, L. (2006). Assessing acquiescence in binary responses: IRT-related item-factor-analytic procedures. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 420-439.
3. Fouladi, R. T. (2006). Structural equation modeling: A second course, by G.R. Hancock, R.O. Mueller. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 487-496.
4. Fox, J. (2006). Structural equation modeling with the sem package in R. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 465-486.
5. French, B. F., & Finch, W. H. (2006). Confirmatory factor analytic procedures for the determination of measurement invariance. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 378-402.
6. Hancock, G. R., & Choi, J. (2006). A vernacular for linear latent growth models. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 352-377.
7. Schweizer, K. (2006). The fixed-links model in combination with the polynomial function as a tool for investigating choice reaction time data. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 403-419.
8. Song, X. Y., & Lee, S. Y. (2006). A maximum likelihood approach for multisample nonlinear structural equation models with missing continuous and dichotomous data. Structural Equation Modeling A Multidisciplinary Journal, 13(3), 325-351.
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