Preacher, K. J., Zhang, G., Kim, C., & Mels, G. (in press). Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective. Multivariate Behavioral Research.
Cho, S.-J., Athay, M., & Preacher, K. J. (in press). Measuring change for a multidimensional test using a generalized explanatory longitudinal item response model. British Journal of Mathematical & Statistical Psychology.
Selig, J. P., Preacher, K. J., & Little, T. D. (in press). Modeling time-dependent association in longitudinal data: A lag as moderator approach. Multivariate Behavioral Research.
Zhang, G., Preacher, K. J., & Jennrich, R. I. (in press). The infinitesimal jackknife with exploratory factor analysis. Psychometrika.
Preacher, K. J., & Selig, J. P. (2012). Advantages of Monte Carlo confidence intervals for indirect effects. Communication Methods & Measures, 6, 77-98.
Kelley, K., & Preacher, K. J. (2012). On effect size. Psychological Methods, 17, 137-152.
Preacher, K. J., & Merkle, E. C. (2012). The problem of model selection uncertainty in structural equation modeling. Psychological Methods, 17, 1-14.
Preacher, K. J. (2011). Multilevel SEM strategies for evaluating mediation in three-level data. Multivariate Behavioral Research, 46, 691-731.
Preacher, K. J., & Kelley, K. (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16, 93-115.
Preacher, K. J., Zhang, Z., & Zyphur, M. J. (2011). Alternative methods for assessing mediation in multilevel data: The advantages of multilevel SEM. Structural Equation Modeling, 18, 161-182.
Preacher, K. J., Zyphur, M. J., & Zhang, Z. (2010). A general multilevel SEM framework for assessing multilevel mediation. Psychological Methods, 15, 209-233.
Hayes, A. F., & Preacher, K. J. (2010). Quantifying and testing indirect effects in simple mediation models when the constituent paths are nonlinear. Multivariate Behavioral Research, 45, 627-660.
Zhang, G., Preacher, K. J., & Luo, S. (2010). Bootstrap confidence intervals for ordinary least squares factor loadings and correlations in exploratory factor analysis. Multivariate Behavioral Research, 45, 104-134.
Zhang, Z., Zyphur, M. J., & Preacher, K. J. (2009). Testing multilevel mediation using hierarchical linear models: Problems and solutions. Organizational Research Methods, 12, 695-719.