Publications

Cornell, D. G., Maeng, J., Winter, S. D., Huang, F., Konold, T., Kerere, J., Afolabi, K., & Cowley, D. (in press). Equity in Law Enforcement Actions Following a School Threat Assessment

Merkle, E., Winter, S. D., Fitzsimmons, E. (revise & resubmit). Identification and Scaling of Latent Variables in Ordinal Factor Analysis.

Padgett, R., & Winter, S. D. (submitted). Threshold priors in item factor analysis under DELTA and THETA parameterizations.

van de Schoot, R., Coimbra, B. M., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Neeleman, R. C., Grandfield, E. M., Sijbrandij, M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S. D., de Bruin, J., & van Zuiden, M. (submitted). The Hunt for the Last Relevant Paper: Blending the best of humans and AI.

Watts, A. L., Winter, S. D., Bonifay, W., Poore, H., Brusco, M., Greene, A. L., Steinley, D., Sher, K. J., & Waldman, I. W. (revise & resubmit). Dismantling psychopathology’s Holy Grail: Rethinking construct validity as support for the general factor of psychopathology.

2024 - 2025

Parmenter, J. G., Winter, S. D., Clements, Z. A., Alexander, K., & Taylor, H. (2025). How community and individual strengths “fill our cup”: A preliminary strengths-based psychological mediation framework for LGBTQIA+ communities. Journal of Counseling Psychology. doi: 10.1037/cou0000807

Parmenter, J. G., Winter, S. D., & Taylor, H. (2025). Considering sexual and gender minority community inequity within the psychological mediation framework. Psychology of Sexual Orientation and Gender Diversity. doi: 10.1037/sgd0000843

Cornell, D. G., Maeng, J., Winter, S. D., Huang, F., Konold, T. G., Kerere, J., Afolabi, K., Cowley, D. (2025). Behavioral Threat Assessment and Equity in Exclusionary School Discipline. School Psychology Review, 1–17. doi: 10.1080/2372966X.2025.2457006

von der Embse, N., Winter, S. D., Bonifay, W., Kilgus, S., Oddleifson, C., Eklund, K., Suldo, S., & Latimer, J. (2025). Reconciling discrepant universal screening data to improve decision-making: A Bayesian logistic regression approach. Journal of School Psychology, 110, 101461. doi: 10.1016/j.jsp.2025.101461

Winter, S. D., Eddy, C. L., Yang, W., & Bonifay, W. (2025). A tutorial on Bayesian item response theory: An illustration using the Teacher Stress Inventory-Short Form. Journal of School Psychology, 109, 101427. doi:10.1016/j.jsp.2024.101427

Bonifay W., Winter, S. D., Skoblow, H., & Watts. A. (2024). Good fit is weak evidence of replication: Increasing rigor through prior predictive similarity checking. Assessment. [Invited contribution to special issue on “Assessment, Measurement, and Registered Replication.”] doi:10.1177/10731911241234118

2022 - 2023

Depaoli, S., Winter, S. D., & Liu, H. (2023). Under-Fitting and Over-Fitting: The Performance of Bayesian Model Selection and Fit Indices in SEM. Structural Equation Modeling: A Multidisciplinary Journal. doi:10.1080/10705511.2023.2280952

Parmenter, J. G. & Winter, S. D. (2023). Inequity within the LGBTQ+ Community as a Distal Stressor: An Extension of Minority Stress Theory. Psychology of Sexual Orientation and Gender Diversity. doi:10.1037/sgd0000674

Merkle, E., Ariyo, O., Winter, S. D., and Garnier-Villarreal, M. (2023). Opaque Prior Distributions in Bayesian SEM. Methodology, 19(3), 228-255. doi:10.5964/meth.11167

Winter, S. D., & Depaoli, S. (2023). Illustrating the Value of Prior Predictive Checking for Bayesian Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal. doi:10.1080/10705511.2022.2164286 [OSF]

Winter, S. D., & Depaoli, S. (2022). Detecting Prior-Data Disagreement in Bayesian Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal. doi:10.1080/10705511.2022.2039066 [OSF]

Winter, S. D., & Depaoli, S. (2022). Sensitivity of Bayesian Model Fit Indices to the Prior Specification of Latent Growth Models. Structural Equation Modeling: A Multidisciplinary Journal, 29(5), 667-686. doi:10.1080/10705511.2022.2032078 [OSF]

Winter, S. D., & Depaoli, S. (2022). Performance of Model Fit and Selection Indices for Bayesian Structural Equation Modeling with Missing Data. Structural Equation Modeling: A Multidisciplinary Journal, 29(4), 531-549. doi:10.1080/10705511.2021.2018656 [OSF]

2020 - 2021

van de Schoot, R., Winter, S. D., Griffioen, E., Grimmelikhuijsen, S., Arts, I., Veen, D., Grand- field, E. M., & Tummers, L. G. (2021). The Use of Questionable Research Practices to Survive in Academia: Expert Elicitation, Prior-Data Conflicts, Bayes Factors for Replication Effects, and the Bayes Truth Serum. Frontiers in Psychology: Quantitative Psychology & Measurement, 12, 621547 doi:10.3389/fpsyg.2021.621547 [OSF]

Arroyo, A. C., Winter, S. D., Depaoli, S., & Zawadzki, M. J. (2021). Illuminating Differences in The Psychological Predictors of Academic Performance for First- And Continuing-Generation Students. Journal of Educational and Psychological Research, 3(2), 234-246.

Depaoli, S., Winter, S. D., & Visser, M. (2020). The Importance of Prior Sensitivity Analysis in Bayesian Statistics: Demonstrations using an Interactive Shiny App. Frontiers in Psychology: Quantitative Psychology & Measurement, 11, 3271. doi:10.3389/fpsyg.2020.608045 [OSF]

Smid, S. C., & Winter, S. D. (2020). Dangers of the Defaults: A Tutorial on the Impact of Default Priors when using Bayesian SEM with Small Samples. Frontiers in Psychology: Quantitative Psychology & Measurement, 11, 611963. doi:10.3389/fpsyg.2020.611963 [OSF]

Winter, S. D., & Depaoli, S. (2020). An Illustration of Bayesian Approximate Measurement Invariance with Longitudinal Data and a Small Sample Size. International Journal of Behavioral Development, 44(4), 371-382. doi:10.1177/0165025419880610

2018 - 2019

Depaoli, S., Winter, S. D., Lai, K., & Guerra-Peña, K. (2019). Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration. Multivariate Behavioral Research, 54(6), 795-821. doi:10.1080/00273171.2019.1593813

Hoorn, J. F., & Winter, S. D. (2018). Here comes the bad news: Doctor robot taking over. International Journal of Social Robotics, 10, 519-535. doi:10.1007/s12369-017-0455-2

Tiemensma, J., Depaoli, S., Winter, S. D., Felt, J. M., Rus, H., & Arroyo, A. C. (2018). The Performance of the IES-R for Latinos and non-Latinos: Assessing Measurement Invariance. PLoS ONE, 13(4), e0195229. doi:10.1371/journal.pone.0195229

van de Schoot, R., Sijbrandij, M., Depaoli, S., Winter, S. D., & van Loey, N. (2018). Bayesian PTSD-Trajectory Analysis with Informed Priors Based on a Systematic Literature Search and Expert Elicitation. Multivariate Behavioral Research, 53(2), 267-291. doi:10.1080/00273171.2017.1412293 [OSF]

Winter, S. D., Depaoli, S., & Tiemensma, J. (2018). Assessing differences in how the CushingQoL is interpreted across countries: Comparing patients from the U.S. and the Netherlands. Frontiers in Endocrinology, 9, 368.doi:10.3389/fendo.2018.00368

Pre-2018

van de Schoot, R., Sijbrandij, M., Winter, S. D., Depaoli, S., & Vermunt, J. K. (2017). The GRoLTS- Checklist: Guidelines for reporting on latent trajectory studies. Structural Equation Modeling: A Multidisciplinary Journal, 24(3), 451-467. doi:10.1080/10705511.2016.1247646 [OSF]

van de Schoot, R., Winter, S. D., Ryan, O., Zondervan-Zwijnenburg, M. & Depaoli, S. (2017). A systematic review of Bayesian articles in psychology: The last 25 years. Psychological Methods, 22(2), 217-239. doi:10.1037/met0000100

Konijn, E. A., van der Schoot, R., Winter, S. D., & Ferguson, C. J. (2015). Possible solution to publication bias through Bayesian statistics, including proper null hypothesis testing. Communication Methods and Measures, 9(4), 280-302. doi:10.1080/19312458.2015.1096332

Book Chapters

Depaoli, S., Kaplan, D., & Winter, S. D. (2023). Foundations and extensions in Bayesian structural equation modeling. In Hoyle, R. (2nd Ed.) Handbook of structural equation modeling. New York, NY: The Guilford Press. [OSF]

van de Schoot, R., Griffioen, E., & Winter, S. D. (2021). Dealing with imperfect elicitation results. In Hanea, A.M., Nane, G.F., Bedford, T., French, S. (Eds.), Expert Judgment in Risk and Decision Analysis. Basel: Springer International Publishing. [OSF]

van de Schoot, R., Veen, D., Smeets, L., Winter, S. D., & Depaoli, S. (2020). A Tutorial on Using The Wambs Checklist to Avoid The Misuse of Bayesian Statistics. In R. van de Schoot & M. Mio ̆cević (Eds.),Small Sample Size Solutions: A guide for applied researchers and practitioners (pp. 30–49). London: Routledge. doi:10.4324/9780429273872-4