Peer Reviewed Papers and Book Chapters

Savi, A. O., Ruijs, N., Maris, G., & van der Maas, H. (2017). Delaying Access to a Problem-Skipping Option Increases Effortful Practice: Application of an A/B Test in Large-Scale Online Learning. Computers & Education. 119, 84-94. Retrieved from

Epskamp, S., Maris, G. K., Waldorp, L. J., & Borsboom, D. (2018). Network psychometrics. In: P. Irwing, T. Booth & D. J. Hughes (Eds.). The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development. London: John Wiley & Sons. (pp. 953-986). Retrieved from

Waldorp, L., Marsman, M. & Maris, G. (2018). Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions. Behaviormetrika. doi:10.1007/s41237-018-0061-0

Brinkhuis, M.J.S., Savi, A.O., Hofman, A.D., Coomans, F., van der Maas, H.L.J., & Maris, G. (2018). Learning As It Happens: A Decade of Analyzing and Shaping a Large-Scale Online Learning System. Journal of Learning Analytics, 5:2.  doi: 10.18608/jla.2018.52.3

Bergner, Y. & von Davier, A.A. (2018). Process Data in NAEP. Past, Present, and Future. Journal of Educational and Behavioral Statistics, 27. doi:10.3102/1076998618784700

Tijmstra., J. & Bolsinova, M. (2018). On the importance of the speed-ability trade-off when dealing with not reached items. Frontiers in Psychology, 9:964.  doi: 10.3389/fpsyg.2018.00964

Molenaar, D., Bolsinova, M., & Vermunt, J.K. (2018). A semi-parametric within-subject mixture approach to the analyses of responses and response times. British Journal of Mathematical and Statistical Psychology, 71(2), 205-228.

Tijmstra, J., Bolsinova, M., & Jeon, M. (2018). General mixture item response models with different item response structures: Exposition with an application to Likert scales. Behavior research methods, 1-20.

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