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
Yaremych, H. E., & Preacher, K. J. (in press). Understanding the consequences of collinearity for multilevel models: The importance of disaggregation across levels. Multivariate Behavioral Research.
Manne, S. L., Hudson, S. V., Preacher, K. J., Imanguli, M., Pesanelli, M., Frederick, S., Singh, N., Schaefer, A., & Van Cleave, J. (in press). Prevalence and correlates of fear of recurrence among oral and oropharyngeal cancer survivors. Journal of Cancer Survivorship.
Youngren, W. A., Hamilton, N. A., Preacher, K. J., & Babber, G. R. (in press). Testing the Nightmare Cognitive Arousal Processing Model. Psychological Trauma: Theory, Research, Practice, and Policy.
Cho, S.-J., Preacher, K. J., Yaremych, H. E., Naveiras, M., Fuchs, D., & Fuchs, L. (in press). Modeling variability in treatment effects for cluster randomized controlled trials using by-variable smooth functions in a generalized additive mixed model. Behavior Research Methods.
Morera, O. F., Dane’el, M. I., Smith, B. A., Redelfs, A. H., Ruiz, S. L., Preacher, K. J., & Whigham, L. D. (2023). Discretizing continuous variables in nutrition and obesity research: A practice that needs to be cut short. Nutrition & Diabetes, 13:20.
Corbett, B. A., White, S., Lerner, M., Preacher, K. J., Klemencic, M. E., Simmons, G. L., Pilkington, J., Gable, P., Gioia, A., & Key, A. P. (2023). Peers, play, and performance to build social salience in autistic youth: A multisite randomized clinical trial. Journal of Consulting & Clinical Psychology, 91, 411-425.
Preacher, K. J., & Yaremych, H. E. (2023). Model selection in structural equation modeling. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd ed.) (pp. 206-222). The Guilford Press.
Fuchs, L. S., Malone, A. S., Preacher, K. J., Cho, E., Fuchs, D., & Changas, P. (2023). Next-generation fraction intervention and the long-term advantage of interleaved instruction. Exceptional Children, 89, 332-352.
Yaremych, H. E.*, Preacher, K. J., & Hedeker, D. (2023). Centering categorical predictors in multilevel models: Best practices and interpretation. Psychological Methods, 28, 613-630.
Williams, N. J., Preacher, K. J., Allison, P. D., Mandell, D., & Marcus, S. C. (2022). Required sample size to detect mediation in 3-level implementation studies. Implementation Science, 17, 66.
Ozkok, O., Vaulont, M. J., Zyphur, M. J., Zhang, Z., Preacher, K. J., Koval, P., & Zheng, Y. (2022). Interaction effects in cross-lagged panel models: SEM with latent interactions applied to work-family conflict, job satisfaction, and gender. Organizational Research Methods, 25, 673-715.
Cho, S.-J., Preacher, K. J., Yaremych, H. E.*, Naveiras, M., Fuchs, D., & Fuchs, L. (2022). 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.
* Current or former Quantitative student.