Publications – Structural Equation Modeling
Leite, W. L., Shen, Z., Marcoulides, K. M., Fisk, C., & Harring, J. (2021). Using Ant Colony Optimization for Sensitivity Analysis in Structural Equation Modeling. Structural Equation Modeling. 29, 1, 47-56. https://doi.org/10.1080/10705511.2021.1881786
Castañeda , G., Colby, S. E., Barnett, T. E., Olfert, M. D., Zhou, W., Leite, W. L., Zein, A. E., & Mathews, A. E. (2020) Examining the effect of weight conscious drinking on binge drinking frequency among college freshmen, Journal of American College Health, 68:8, 906-913, DOI: 10.1080/07448481.2019.1642204
Leite, W. L., Stapleton, L. M., & Bettini, E. F. (2019). Propensity Score Analysis of Complex Survey Data with Structural Equation Modeling: A Tutorial with Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 26:3, 448-469, DOI: 10.1080/10705511.2018.1522591
Cetin-Berber, D. D., & Leite, W. L. (2018). A comparison of one-step and three-step approaches for including covariates in the shared parameter growth mixture model. Structural Equation Modeling. 25(4), 588-599, 10.1080/10705511.2018.1428806
Bettini, E., Jones, N., Brownell, M. , Conroy, M., Leite, W. L. (2018). Relationships between Novice Teachers’ Social Resources and Workload Manageability. Journal of Special Education, 52 (2), 113-126.
Collier, Z. K. & Leite, W. L. (2017). A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis. Structural Equation Modeling, 24:6, 819-830, DOI: 10.1080/10705511.2017.1365304
Hu, J., & Leite, W. L. (2017). An Evaluation of the Use of Covariates to Assist in Class Enumeration in Linear Growth Mixture Modeling. Behavior Research Methods, 49 (3), 1179-1190.
Koo, N., Leite, W. L., & Algina, J. (2016). Mediated effects with the parallel process latent growth model: an evaluation of methods for testing mediation in the presence of nonnormal data. Structural Equation Modeling, 23, 32-44.
Aydin, B., Leite, W. L., & Algina, J. (2014). The Consequences of Ignoring Variability in Measurement Occasions within Data Collection Waves in Latent Growth Models. Multivariate Behavioral Research, 49, 149–160.
Koo, N. & Leite, W. L. (2014). The Impact of Ignoring Time Series Processes in Linear Growth Mixture Modeling. Structural Equation Modeling, 21, 210–224.
Zhang, L., Jin, R., Leite, W. L., & Algina, J. (2014). Additive Models for Multitrait-Multimethod Data with a Multiplicative Trait-Method Relationship: A Simulation Study. Structural Equation Modeling, 21, 68–80.
Marcoulides, G., & Leite, W. L. (2013). Exploratory data mining algorithms for conducting searches in structural equation modeling: A comparison of some fit criteria. In. J. J. McArdle & G. Ritschard. Contemporary issues in exploratory data mining in the behavioral sciences (pp. 150-171). New York, NY: Taylor & Francis.
Bandalos, D. L. & Leite, W. L. (2013). Use of Monte Carlo Studies in Structural Equation Modeling Research. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (2nd Ed.). (pp.564-666 ) Greenwich, CT: Information Age Publishing. Click here for code related to this chapter.
Adams, A., Ross, D., Swain, C., Dana, N, Leite, W., & Sandbach, R. (2013). Preparing teacher leaders in a job-embedded graduate program: Changes within and beyond the classroom walls. Teacher Education and Practice, 26 (3), 581-597.
Leite, W. L. (2012): Latent Growth Curve Modeling By Kristopher J. Preacher, Aaron L. Wichman, Robert C. MacCallum, and Nancy E. Briggs. Structural Equation Modeling, 19, 152-155.
Leite, W. L., & Stapleton, L. (2011). Detecting growth shape misspecifications in latent growth models: An evaluation of fit indices. The Journal of Experimental Education, 79, 361-381.
Jackman, M. G., Leite, W. L., & Cochrane, D. (2011). Estimating latent variable interactions with the unconstrained approach: A comparison of methods to form product indicators for large, unequal numbers of items. Structural Equation Modeling, 18, 274-288.
Leite, W. L., & Zuo, Y. (2011). Modeling latent Interactions at level two in multilevel structural equation models: An evaluation of mean-centered and residual-centered unconstrained Approaches. Structural Equation Modeling, 18, 449-464.
Leite, W. L. (2007). A comparison of latent growth models for constructs measured by multiple Items. Structural Equation Modeling. 14, 581-610.
Stapleton, L. M., & Leite, W. L. (2005). A review of syllabi for a sample of structural equation modeling courses. Structural Equation Modeling, 12, 642-664.
