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Kristopher J. Preacher

Professor
Lois Autrey Betts Chair in Education & Human Development
Associate Chair, Dept. of Psychology & Human Development

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 Multivariate Behavioral Research, Behavior Research Methods, Communication Methods and Measures, Journal of Educational & Behavioral Statistics, and Organizational Research Methods.

Representative Publications

Preacher, K. J., & Yaremych, H. E. (in press). Model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling. The Guilford Press.

Fuchs, L. S., Malone, A. S., Preacher, K. J., Cho, E., Fuchs, D., & Changas, P. (in press). Next-generation fraction intervention and the long-term advantage of interleaved instruction. Exceptional Children.

Williams, N. J., Preacher, K. J., Allison, P. D., Mandell, D., & Marcus, S. C. (in press). Required sample size to detect mediation in 3-level implementation studies. Implementation Science.

Yaremych, H. E.*, Preacher, K. J., & Hedeker, D. (in press). Centering categorical predictors in multilevel models: Best practices and interpretation. Psychological Methods.

Ozkok, O., Vaulont, M. J., Zyphur, M. J., Zhang, Z., Preacher, K. J., Koval, P., & Zheng, Y. (in press). Interaction effects in cross-lagged panel models: SEM with latent interactions applied to work-family conflict, job satisfaction, and gender. Organizational Research Methods.

Cho, S.-J., Preacher, K. J., Yaremych, H. E.*, Naveiras, M., Fuchs, D., & Fuchs, L. (in press). Modeling multilevel nonlinear treatment-by-covariate interactions in cluster randomized controlled trials using a generalized additive mixed model. British Journal of Mathematical & Statistical Psychology, 75, 493-521.

Deboeck, P. R., Cole, D. A., Preacher, K. J., Forehand, R., & Compas, B. E. (2021). Modeling dynamic processes with panel data: An application of continuous time models to prevention research. International Journal of Behavioral Development, 45, 28-39.

Zyphur, M. J., Hamaker, E. L., Tay, L., Voelkle, M., Preacher, K. J., Zhang, Z., Allison, P. D., Pierides, D. C., Koval, P., & Diener, E. F. (2021). From data to causes III: Bayesian priors for general cross-lagged panel models (GCLM). Frontiers in Psychology, 12, 112.

Rights, J. D.*, Preacher, K. J., & Cole, D. A. (2020). The danger of conflating level-specific effects of control variables when primary interest lies in level-2 effects. British Journal of Mathematical & Statistical Psychology, 73, 194-211.

Petrova, K., Nevarez, M. D., Waldinger, R. J., Preacher, K. J., & Schulz, M. S. (2021). Self-distancing and avoidance mediate the links between trait mindfulness and responses to emotional challenges. Mindfulness, 12, 947-958.

Petrova, K., Nevarez, M. D., Rice, J., Waldinger, R. J., Preacher, K. J., & Schulz, M. S. (2021). Coherence between feelings and heart rate: Links to early adversity and responses to stress. Affective Science, 2, 1-13.

Fuchs, L. S., Wang, A. Y., Preacher, K. J., Malone, A. S., Fuchs, D., & Pachmayr, R. (2021). Addressing challenging mathematics standards with at-risk learners: A randomized controlled trial on the effects of fractions intervention at third grade. Exceptional Children, 87, 163-182.

Youngren, W. A., Hamilton, N. A., & Preacher, K. J. (2020). Assessing triggers of posttrauma nightmares. Journal of Traumatic Stress, 33, 511-520.

Zyphur, M. J., Voelkle, M. C., Tay, L., Allison, P. D., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From data to causes II: Comparing approaches to panel data analysis. Organizational Research Methods, 23, 688-716.

Zyphur, M. J., Allison, P. D., Tay, L., Voelkle, M. C., Preacher, K. J., Zhang, Z., Hamaker, E. L., Shamsollahi, A., Pierides, D. C., Koval, P., & Diener, E. (2020). From data to causes I: Building a general cross-lagged panel model (GCLM). Organizational Research Methods, 23, 651-687.

Liebmann, E. P., Preacher, K. J., Richter, K. P., Cupertino, A. P., & Catley, D. (2019). Identifying pathways to quitting smoking via telemedicine-delivered care. Health Psychology, 38, 638-647.

Morrill, M. I., Schulz, M. S., Nevarez, M. D., Preacher, K. J., & Waldinger, R. J. (2019). Assessing within- and between-family variations in an expanded measure of childhood adversity. Psychological Assessment, 31, 660-673.

Zhang, G., Preacher, K. J., Hattori, M., Jiang, G., & Trichtinger, L. A. (2019). A sandwich standard error estimator for exploratory factor analysis with nonnormal data and imperfect models. Applied Psychological Measurement, 43, 360-373.

Scheuermann, T. S., Preacher, K. J., Carlini, B. H., Bush, T., Magnusson, B., Nazir, N., & Richter, K. P. (2019). Predictors of engagement in post-discharge quitline counseling among hospitalized smokers. Journal of Behavioral Medicine, 42, 139-149.

Preacher, K. J., & Sterba, S. K. (2019). Aptitude × treatment interactions in research on educational interventions. Exceptional Children, 85, 248-264.


* Current or former Quantitative student.