Under Review/Revision

Winter, S. D., & Depaoli, S. (under review). An Illustration of Bayesian Approximate Measurement Invariance with Longitudinal Data and a Small Sample Size.

In Press

Depaoli, S., Winter, S. D., Guerra-Peña, K., & Lai, K. (in press). Implementing continuous non-normal skewed distributions in latent growth mixture modeling: An assessment of specification errors and class enumeration. Multivariate Behavior Research


Tiemensma, J., Depaoli, S., Winter, S. D., Felt, J. M., Rus, H., and Arroyo, A. C. (2018). The Performance of the IES-R for Latinos and non-Latinos: Assessing Measurement Invariance. PLoS ONE.

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, doi: 10.1080/00273171.2017.1412293 (Open Access)Supplementary Materials

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.


Hoorn, J. F., & Winter, S. D. (2017). Here comes the bad news: Doctor robot taking over. International Journal of Social Robotics, doi: 10.1007/s12369-017-0455-2 (Open Access).

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. Supplementary Materials

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


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.