First-author publications:

van Bork, R., Grasman, R. P. P. P., & Waldorp, L. J. (2018). Unidimensional factor models imply weaker partial correlations than zero-order correlations. Psychometrika, 83, 443-452. doi:10.1007/s11336-018-9607-z

van Bork, R., Rhemtulla, M., & Borsboom, D. (2016). Composites can be causal too. European Journal of Personality, 30, 307 – 308. doi:10.1002/per.2060

van Bork, R., Epskamp, S. , Rhemtulla, M., Borsboom, D. & van der Maas, H. L. J. (2017). What is the p-factor of psychopathology? Some risks of general factor modeling. Theory & Psychology, 27, 759-773. doi:10.1177/0959354317737185

van Bork, R., Wijsen, L. D. (shared main authorship), & Rhemtulla, M. (2017). Toward a causal interpretation of the common factor model. Disputatio, 9,
581-601. doi:10.1515/disp-2017-0019


Co-author publications:

Bernstein, E. E., Kleiman, E. M., van Bork, R., Moriarity, D. P., Giollabhui, N. M., McNally, R. J., Abramson, L. Y., & Alloy, L. B. (2019). Unique and predictive relationships between components of cognitive vulnerability and symptoms of depression. Depression and Anxiety, 36, 950-959.

Rhemtulla, M., Borsboom, D., & van Bork, R. (2017). How to Measure Nothing.
Measurement: Interdisciplinary Research and Perspectives, 15, 95-97. doi:10.1080/15366367.2017.1369785

Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L., van der Maas, H. L. J., & Maris, G. (2017). An Introduction to Network Psychometrics: Relating Ising Network Models to Item Response Theory Models. Multivariate Behavioral Research, doi:10.1080/00273171.2017.1379379

Rhemtulla, M., van Bork, R., & Borsboom, D. (2015). Calling models with causal indicators “measurement models” implies more than they can deliver. Measurement: Interdisciplinary Research & Perspectives, 13, 59-62. doi:10.1080/15366367.2015.1016343

Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716. doi:10.1126/science.aac4716

Langley, D. J., Wijn, R., Epskamp, S., & van Bork, R. (2015). Should I get that jab? Exploring influence to encourage vaccination via online social media. ECIS 2015 Research-in-Progress Papers, Paper 64.



van Bork, R., Rhemtulla, M., Waldorp, L. J., Kruis, J., Rezvanifar, S., & Borsboom, D. (accepted). Latent variable models and networks: Statistical Equivalence and testability. (Submitted to Multivariate Behavioral Research).

Rhemtulla, M., van Bork, R., and Borsboom, D. (accepted). Worse than measurement
error: Consequences of inappropriate latent variable measurement models. (Submitted to Psychological Methods).


Contributions to books:

van Bork, R., van Borkulo, C. D. (shared main authorship), Waldorp, L. J., Cramer, A. O. J., & Borsboom, D. (2018). Network models for clinical psychology. In John T. Wixted (ed.) The Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience (Fourth Ed). Hoboken, NJ: John Wiley & Sons.

van Bork, R., & Cramer, A. O. J. (2017). Sample size. SAGE Encyclopedia of Abnormal and Clinical Psychology.

van Bork, R., & Cramer, A. O. J. (2017). Sample selection. SAGE Encyclopedia of Abnormal and Clinical Psychology.

Cramer, A. O. J., & van Bork, R. (2017). Internal validity. SAGE Encyclopedia of Abnormal and Clinical Psychology.

Wijsen, L. D., van Bork, R., Haig, B. D., & Borsboom, D. Latent variable models and their alternatives: Three different approaches to the causal analysis of psychometric models. (Bookchapter in The SAGE Handbook of Theoretical Psychology)