Dr R. (Riet) van Bork
Assistant Professor
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
- Nieuwe Achtergracht 129
Postal address
-
Postbus 15906
1001 NK Amsterdam
Contact details
Social media
-
Profile
I am an assistant professor at the Psychological Methods department. I received my PhD in 2019, for my dissertation on the interpretation of psychometric models.
My research interest lies at the intersection of psychological methods, statistics and philosophy. Some examples of questions that I have worked on: What are the implications of interpreting psychometric models as causal models or as summaries of the data? Are equivalent models the same model? What are possible chance experiments that result in the response variables in a factor model or IRT model being ‘random variables’? What is actually ‘observed’ in ‘observed variables’?
Research expertise
- Research methods
- Measurement
- Network models
- Latent variable models
- Conceptual issues
Other links
-
Research
Currently, I work on the question of how to do measurement in the network framework. In the network framework, psychological constructs are conceptualized as networks of interacting nodes or as dynamical systems. This is very different from how psychological constructs are conceptualized in existing measurement theories such as classical test theory and modern test theory. I am curious how this change in conceptualization of psychological constructs will change how we best measure these constructs. To take depression as an example of a psychological construct: if depression is conceptualized as a network, how can we best measure someone’s depression severity?
-
Teaching & PhD supervision
BA
- ‘Research Methods and Statistics’ together with Johnny van Doorn
- ‘Fundamentals of Psychology’ together with Lisa Wijsen
- ‘Rethinking Methodology’ together with Lisa Wijsen
PhD Supervision
- Co-promotor of Jason Nak
-
Publications
2024
Sekulovski, N., Keetelaar, S., Huth, K., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research, 59(5), 913-933. https://doi.org/10.1080/00273171.2024.2345915 [details]
2022
- Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Constantini, G., Isvoranu, A. M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2022). Author Correction: Network analysis of multivariate data in psychological science: (Nature Reviews Methods Primers, (2021), 1, 1, (58), 10.1038/s43586-021-00055-w). Nature Reviews Methods Primers, 2(1), Article 10. https://doi.org/10.1038/s43586-022-00101-1
- Haslbeck, J. M. B., & van Bork, R. (2022). Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors. Psychological Methods. Advance online publication. https://doi.org/10.31234/osf.io/qktsd, https://doi.org/10.1037/met0000528
- van Borkulo, C. D., van Bork, R., Boschloo, L., Kossakowski, J. J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2022). Comparing network structures on three aspects: A permutation test. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000476
- van Dongen, N. N. N., van Bork, R., Haslbeck, J. M. B., van der Maas, H. L. J., Robinaugh, D., de Ron, J., & Borsboom, D. (2022). Improving Psychological Explanations.. Manuscript submitted for publication. https://psyarxiv.com/qd69g/
2021
- Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A-M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1, Article 58. https://doi.org/10.1038/s43586-021-00055-w [details]
- van Bork, R., Rhemtulla, M., Waldorp, L. J., Kruis, J., Rezvanifar, S., & Borsboom, D. (2021). Latent Variable Models and Networks: Statistical Equivalence and Testability. Multivariate Behavioral Research, 56(2), 175–198. Advance online publication. https://doi.org/10.1080/00273171.2019.1672515 [details]
2020
- Deserno, M. K., Borsboom, D., Begeer, S., van Bork, R., Hinne, M., & Geurts, H. M. (2020). Highways to happiness for autistic adults? Perceived causal relations among clinicians. PLoS ONE, 15(12), Article e0243298. https://doi.org/10.1371/journal.pone.0243298 [details]
- Rhemtulla, M., van Bork, R., & Borsboom, D. (2020). Worse Than Measurement Error: Consequences of Inappropriate Latent Variable Measurement Models. Psychological Methods, 25(1), 30-45. https://doi.org/10.1037/met0000220 [details]
2019
- Bernstein, E. E., Kleiman, E. M., van Bork, R., Moriarity, D. P., Mac Giollabhui, N., 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(10), 950-959. Advance online publication. https://doi.org/10.1002/da.22935 [details]
2018
- Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L. J., van der Maas, H. L. J., & Maris, G. (2018). An introduction to network psychometrics: Relating ising network models to item response theory models. Multivariate Behavioral Research, 53(1), 15-35. https://doi.org/10.1080/00273171.2017.1379379 [details]
- 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(2), 443–452. https://doi.org/10.1007/s11336-018-9607-z [details]
2017
- Van Bork, R., Wijsen, L. D., & Rhemtulla, M. (2017). Toward a causal interpretation of the common factor model. Disputatio, 9(47), 581–601. https://doi.org/10.1515/disp-2017-0019 [details]
- 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 and Psychology, 27(6), 759-773. https://doi.org/10.1177/0959354317737185 [details]
2016
- Langley, D. J., Wijn, R., Epskamp, S., & van Bork, R. (2016). Encouraging vaccination behavior through online social media. In F. D'Ascenzo, M. Magni, A. Lazazzara, & S. Za (Eds.), Blurring the Boundaries Through Digital Innovation: Individual, Organizational, and Societal Challenges (pp. 307-318). (Lecture Notes in Information Systems and Organisation; Vol. 19). Springer. https://doi.org/10.1007/978-3-319-38974-5_24 [details]
2015
- Aarts, A. A., et al., U., Borsboom, D., Columbus, S., den Bezemer, B., Deserno, M. K., Epskamp, S., Jonas, K., Kleinberg, B., Kossakowski, J. J., Kunkels, Y. K., Rahal, R.-M., Sahin, O., Skorinko, J. L. M., Tio, P., van Bork, R., van den Bergh, D., van Renswoude, D. R., van Doorn, J., & Wagenmakers, E.-J. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 943. Article aac4716. https://doi.org/10.1126/science.aac4716 [details]
- 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. In ECIS 2015 Research-in-Progress Papers Article 64 AIS Electronic Library (AISeL). http://aisel.aisnet.org/ecis2015_rip/64 [details]
- Rhemtulla, M., van Bork, R., & Borsboom, D. (2015). Calling models with causal indicators "measurement models" implies more than they can deliver. Measurement, 13(1), 59-62. Advance online publication. https://doi.org/10.1080/15366367.2015.1016343 [details]
2023
- Bartoš, F., Sarafoglou, A. S. G., Godmann, H. R., Sahrani, A., Klein Leunk, D., Gui, P. Y., Voss, D., Ullah, K., Zoubek, M. J., Nippold, F., Aust, F., Vieira, F. F., Islam, C.-G., Zoubek, A. J., Shabani, S., Petter, J., Roos, I. B., Finnemann, A. T. K., Lob, A. B., ... Wagenmakers, E. M. (2023). Fair coins tend to land on the same side they started: Evidence from 350,757 flips. (pp. 1-12). ArXiv. https://doi.org/10.48550/arXiv.2310.04153
2022
- Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., Robinaugh, D. J., Perugini, M., Dalege, J., Costantini, G., Isvoranu, A.-M., Wysocki, A. C., van Borkulo, C. D., van Bork, R., & Waldorp, L. J. (2022). Reply to ‘Critiques of network analysis of multivariate data in psychological science’. Nature Reviews Methods Primers, 2, Article 91. https://doi.org/10.1038/s43586-022-00178-8 [details]
- Haslbeck, J., & van Bork, R. (2022). Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors. (v4 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/qktsd
2018
- van Bork, R., van Borkulo, C. D., Waldorp, L. J., Cramer, A. O. J., & Borsboom, D. (2018). Network Models for Clinical Psychology. In J. T. Wixted, & E-J. Wagenmakers (Eds.), Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience. - Volume 5: Methodology (4 ed., pp. 693-728). Wiley. https://doi.org/10.1002/9781119170174.epcn518 [details]
2017
- Rhemtulla, M., Borsboom, D., & van Bork, R. (2017). How to Measure Nothing. Measurement, 15(2), 95-97. https://doi.org/10.1080/15366367.2017.1369785 [details]
2016
- van Bork, R., Rhemtulla, M., & Borsboom, D. (2016). Composites can be casual too. European Journal of Personality, 30(4), 307-308. https://doi.org/10.1002/per.2060 [details]
Prize / grant
- van Bork, R. (2015). Psychology Master Thesis Prize..
Talk / presentation
- van Bork, R. (speaker) (18-7-2019). Turning models upside down: A causal theory of error scores., 84th annual meeting of the psychometric society (IMPS), Santiago.
- van Bork, R. (speaker) (5-7-2019). Networks and Latent Variables: Two Frameworks for Understanding Psychopathology., 50th Annual Meeting of the Society for Psychotherapy Research (SPR), Buenos Aires.
- van Bork, R. (speaker) (11-10-2018). A network perspective on psychopathology, Donders Discussions, 2018, Nijmegen, Nijmegen.
- van Bork, R. (speaker) (28-8-2018). Teach one session at Psychological Networks Amsterdam Summer School 2018, Psychological Networks Amsterdam Summer School 2018, Amsterdam.
- van Bork, R. (speaker) (25-5-2018). Simplicity of networks and factor models, 30th Annual Convention of the Association for Psychological Science, San Francisco.
- van Bork, R. (speaker) (30-1-2018). Teach one session at Psychological Networks Amsterdam Winter School 2018, Psychological Networks Amsterdam Winter School (PNAWS) 2018 , Amsterdam.
- van Bork, R. (speaker) (21-9-2017). Introducing Network Models for Quality of Life, Congres ISOQOL-NL 2017.
- van Bork, R. (speaker) (29-8-2017). Teach one session at Psychological Networks Amsterdam Summer School 2017, Psychological Networks Amsterdam Summer School 2017.
- van Bork, R. (speaker) (18-7-2017). Model Simplicity of networks and latent variable models, 82nd Annual Meeting of the Psychometric Society, Zurich.
- van Bork, R. (speaker) (29-9-2016). On the identity of variables: An intensional approach in understanding the latent variable model..
- van Bork, R. (speaker) (27-5-2016). Distinguishing latent variable models and network models., 28th APS Annual Convention, Chicago, USA.
- van Bork, R. (speaker) (13-7-2015). Latent variable and network model implications for partial correlation structures., IMPS, Beijing.
Others
- van Bork, R. (organiser) (15-7-2019 - 19-7-2019). Symposium: Theory and assumptions underlying psychometric practice., Santiago. Symposium on Theory and assumptions underlying psychometric practice, as part of the 84th annual meeting of the psychometric society (IMPS) held in (…) (organising a conference, workshop, ...).
- van Bork, R. (organiser) (12-7-2015 - 16-7-2015). IMPS, Beijing. Symposium New Developments in Network Psychometrics. (organising a conference, workshop, ...).
2019
- van Bork, R. (2019). Interpreting psychometric models. [Thesis, fully internal, Universiteit van Amsterdam]. https://doi.org/10.31237/OSF.IO/X6A7S [details]
2015
- Tio, P., Renkewitz, F., Bell, R., Selterman, D., Thomas, S. L., Martinez, T., Voracek, M., Van Doorn, J., Ostkamp, L., Galak, J., Pipitone, R. ., Epskamp, S., Hodsoll, J., Axt, J., Van Rijn, H., Bartmess, E., Strohminger, N., Beyan, L., Hung, C. O.-Y., … Scholz, S. (1-1-2015). Data from: Estimating the reproducibility of psychological science. Singapore Management University. https://doi.org/10.25440/smu.12062757.v1
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list. -
Ancillary activities
No ancillary activities
Sekulovski, N., Keetelaar, S., Huth, K., Wagenmakers, E.-J., van Bork, R., van den Bergh, D., & Marsman, M. (2024). Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods. Multivariate Behavioral Research, 59(5), 913-933.