#### Contact Information

Email

Website

615-343-1648

202A Hobbs

#### Research Area

#### Education

Postdoc, The University of of North Carolina at Chapel Hill, 2006

Ph.D., The Ohio State University, 2003

M.A., The College of William & Mary, 1998

#### Curriculum Vitae

#### Current Courses

Multilevel Modeling (Graduate; PSY-GS 8882)

#### Advising

#### Definitely interested in accepting new graduate students for Fall 2017

#### Societies

American Educational Research Association (AERA, Division D)

American Psychological Association (APA, Division 5)

Association for Psychological Science (APS)

Psychometric Society

Society for Personality and Social Psychology (SPSP)

Society of Multivariate Experimental Psychology (SMEP)

# Kristopher J. Preacher

### Professor

Associate Chair, Dept. of Psychology & Human Development

Chancellor Faculty Fellow, Vanderbilt University

Dr. Preacher is a Professor in the Quantitative Methods program. His research concerns the use (and combination) of structural equation modeling and multilevel modeling to model correlational and longitudinal data. Other interests include developing techniques to test mediation and moderation hypotheses, bridging the gap between substantive theory and statistical practice, and studying model evaluation and model selection in the application of multivariate methods to social science questions. He serves on the editorial boards of *Psychological Methods*, *Multivariate Behavioral Research*, and *Communication Methods and Measures*.

#### Representative Publications

Bahns, A. J., Crandall, C. S., Gillath, O., & Preacher, K. J. (in press). Similarity in relationships as niche construction: Choice, stability, and influence within dyads in a free choice environment. *Journal of **Personality & Social Psychology: Personality Processes and Individual Differences*.

Cho, S.-J., & Preacher, K. J. (in press). Measurement error correction formula for cluster-level group differences in cluster randomized and observational studies. *Educational & Psychological Measurement*.

Merkle, E. C., You, D., & Preacher, K. J. (2016). Testing non-nested structural equation models. *Psychological Methods*, *21*, 151-163.

Preacher, K. J., Zhang, Z., & Zyphur, M. J. (2016). Multilevel structural equation models for assessing moderation within and across levels of analysis. *Psychological Methods*, *21*, 189-205.

Deboeck, P. R., & Preacher, K. J. (2016). No need to be discrete: A method for continuous time mediation analysis. *Structural Equation Modeling*, *23*, 61-75.

Zhang, G., & Preacher, K. J. (2015). Factor rotation and standard errors in exploratory factor analysis. *Journal of Educational & Behavioral Statistics*, *40*, 579-603

Compas, B. E., Bemis, H., Gerhardt, C. A., Dunn, M. J., Rodriguez, E. M., Desjardins, L., Preacher, K. J., Manring, S., & Vannatta, K. (2015). Mothers and fathers coping with their children's cancer: Individual and interpersonal processes. *Health Psychology*, *34*, 783-793.

Rucker, D. D., McShane, B. B., & Preacher, K. J. (2015). A researcher's guide to regression, discretization, and median splits of continuous variables. *Journal of Consumer Psychology*, *25*, 666-678.

Cho, S.-J., Preacher, K. J., & Bottge, B. A. (2015). Detecting intervention effects in a cluster randomized design using multilevel structural equation modeling for binary responses. *Applied Psychological Measurement*, *39*, 627-642.

Lachowicz, M. J.*, Sterba, S. K., & Preacher, K. J. (2015). Investigating multilevel mediation with fully or partially nested data. *Group Processes & Intergroup Relations*, *18*, 274-289.

Preacher, K. J. (2015). Advances in mediation analysis: A survey and synthesis of new developments. *Annual Review of Psychology*, *66*, 825-852.

Laird, K. T., Preacher, K. J., & Walker, L. S. (2015). Attachment and adjustment in adolescents and young adults with a history of pediatric functional abdominal pain. *The Clinical Journal of Pain*, *31*, 152-158.

Richter, K. P., Shireman, T. I., Ellerbeck, E. F., Cupertino, A. P., Catley, D., Cox, L. S., Preacher, K. J., Spaulding, R., Mussulman, L. M., Nazir, N., Hunt, J. J., & Lambart, L. (2015). Comparative and cost effectiveness of telemedicine versus telephone counseling for smoking cessation. *Journal of Medical Internet Research*, *17*, e113.

Wang, L., & Preacher, K. J. (2015). Moderated mediation analysis using Bayesian methods. *Structural* *Equation Modeling*., *22*, 249-263.

Preacher, K. J., & Hancock, G. R. (2015). Meaningful aspects of change as novel random coefficients: A general method for reparameterizing longitudinal models. *Psychological Methods*, *20*, 84-101.

Timmons, A. C.*, & Preacher, K. J. (2015). The importance of temporal design: How do measurement intervals affect the accuracy and efficiency of parameter estimates in longitudinal research? *Multivariate Behavioral Research*, *50*, 41-55.

Pornprasertmanit, S., Lee, J., & Preacher, K. J. (2014). Ignoring clustering in confirmatory factor analysis: Some consequences for model fit and standardized parameter estimates. *Multivariate **Behavioral Research*, *49*, 518-543.

Hayes, A. F., & Preacher, K. J. (2014). Statistical mediation analysis with a multicategorical independent variable. *British Journal of Mathematical & Statistical Psychology*, *67*, 451-470.

Gu, F., Preacher, K. J., Wu, W., & Yung, Y.-F. (2014). A computationally efficient state space approach to estimating multilevel regression models and multilevel confirmatory factor models. *Multivariate **Behavioral Research*, *49*, 119-129.

Gu, F., Preacher, K. J., & Ferrer, E. (2014). A state space modeling approach to mediation analysis. *Journal of Educational and Behavioral Statistics*, *39*, 117-143.

Sterba, S. K., Preacher, K. J., Forehand, R., Hardcastle, E. J., Cole, D. A., & Compas, B. E. (2014). Structural equation modeling approaches for analyzing partially nested data. *Multivariate Behavioral Research*, *49*, 93-118.

Cole, D. A., & Preacher, K. J. (2014). Manifest variable path analysis: Potentially serious and misleading consequences due to uncorrected measurement error. *Psychological Methods*, *19*, 300-315.

Geldhof, G. J.*, Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. *Psychological Methods*, 19, 72-91.

Cho, S.-J., Athay, M.*, & Preacher, K. J. (2013). Measuring change for a multidimensional test using a generalized explanatory longitudinal item response model. *British Journal of Mathematical & Statistical Psychology*, *66*, 353-381.

Preacher, K. J., Zhang, G., Kim, C., & Mels, G. (2013). Choosing the optimal number of factors in exploratory factor analysis: A model selection perspective. *Multivariate Behavioral Research*, *48*, 28-56.

* Current or former Quantitative student.