Dr. J.M.B. (Jonas) Haslbeck
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
- Nieuwe Achtergracht 129
- Room number: 0.40
Postal address
- Postbus 15906
1001 NK Amsterdam
Contact details
- Research
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Publications
2022
Haslbeck, J. M. B. (2022). Estimating Group Differences in Network Models using Moderation Analysis. Behavior Research Methods, 54(1), 522-540. https://doi.org/10.3758/s13428-021-01637-y [details]
2021
- Aalbers, G., Engels, T., Haslbeck, J. M. B., Borsboom, D., & Arntz, A. (2021). The network structure of schema modes. Clinical Psychology and Psychotherapy, 28(5), 1065-1078. https://doi.org/10.1002/cpp.2577 [details]
- Haslbeck, J. M. B., & Ryan, O. (2021). Recovering Within-Person Dynamics from Psychological Time Series. Multivariate Behavioral Research, 1-32. https://doi.org/10.31234/osf.io/kcv3s, https://doi.org/10.31234/osf.io/dymhw, https://doi.org/10.1080/00273171.2021.1896353
- Haslbeck, J. M. B., & van Bork, R. (2021). Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors. Manuscript submitted for publication. https://psyarxiv.com/qktsd
- Haslbeck, J. M. B., Borsboom, D., & Waldorp, L. J. (2021). Moderated Network Models. Multivariate Behavioral Research, 56(2), 256-287. https://doi.org/10.1080/00273171.2019.1677207 [details]
- Haslbeck, J. M. B., Bringmann, L. F., & Waldorp, L. J. (2021). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research, 56(1), 120-149. https://doi.org/10.1080/00273171.2020.1743630 [details]
- Haslbeck, J. M. B., Epskamp, S., Marsman, M., & Waldorp, L. J. (2021). Interpreting the Ising Model: The Input Matters. Multivariate Behavioral Research, 56(2), 303-313. https://doi.org/10.1080/00273171.2020.1730150 [details]
- Haslbeck, J. M. B., Ryan, O., & Dablander, F. (Accepted/In press). The Sum of All Fears: Comparing Networks Based on Symptom Sum-Scores. Psychological Methods. https://psyarxiv.com/3nxu9
- Haslbeck, J. M. B., Ryan, O., Robinaugh, D., Waldorp, L. J., & Borsboom, D. (2021). Modeling Psychopathology: From Data Models to Formal Theories. Psychological Methods. https://doi.org/10.31234/osf.io/jgm7f, https://doi.org/10.1037/met0000303
- Hinze, V., Ford, T., Crane, C., Haslbeck, J. M. B., Hawton, K., Gjelsvik, B., & The MYRIAD Team (2021). Does depression moderate the relationship between pain and suicidality in adolescence? A moderated network analysis. Journal of Affective Disorders , 292, 667-677. https://doi.org/10.1016/j.jad.2021.05.100 [details]
- Lunansky, G., van Borkulo, C. D., Haslbeck, J. M. B., van der Linden, M. A., Garay, C. J., Etchevers, M. J., & Borsboom, D. (2021). The Mental Health Ecosystem: Extending Symptom Networks With Risk and Protective Factors. Frontiers in Psychiatry, 12, [640658]. https://doi.org/10.3389/fpsyt.2021.640658 [details]
- Moriarity, D., Horn, S., Kautz, M., Haslbeck, J. M. B., & Alloy, L. (2021). How handling extreme C-reactive protein (CRP) values influences CRP and depression symptom networks: A replication and extension of Fried et al. (2019). Brain, behavior, and immunity, 91, 393-403. https://doi.org/10.1016/j.bbi.2020.10.020
- Robinaugh, D. J., Haslbeck, J. M. B., Ryan, O., Fried, E. I., & Waldorp, L. J. (2021). Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction. Perspectives on Psychological Science, 16(4), 725-743. https://doi.org/10.1177/1745691620974697 [details]
- Verwimp, C., Tijms, J., Snellings, P., Haslbeck, J. M. B., & Wiers, R. W. (2021). A network approach to dyslexia: Mapping the reading network. Development and Psychopathology, 1-15. https://doi.org/10.1017/S0954579421000365
- Walentek, D., Broere, J., Cinelli, M., Dekker, M. M., & Haslbeck, J. M. B. (2021). Success of economic sanctions threats: coercion, information and commitment. International Interactions, 47(3), 417-448. https://doi.org/10.1080/03050629.2021.1860034 [details]
2020
- Burger, J., Isvoranu, A. M., Lunansky, G., Haslbeck, J. M. B., Epskamp, S., Hoekstra, R. H. A., Fried, E. I., Borsboom, D., & Blanken, T. F. (2020). Reporting Standards for Psychological Network Analyses in Cross-sectional Data. Manuscript submitted for publication. https://psyarxiv.com/4y9nz/
- Dablander, F., Ryan, O., & Haslbeck, J. M. B. (2020). Choosing between AR(1) and VAR(1) Models in Typical Psychological Applications. PLoS ONE, 15(10), [e0240730]. https://doi.org/10.1371/journal.pone.0240730 [details]
- Fried, E. I., von Stockert, S., Haslbeck, J. M. B., Lamers, F., Schoevers, R. A., & Pennix, B. W. J. H. (2020). Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates. Psychological Medicine, 50(16), 2682-2690. https://doi.org/10.1017/S0033291719002770 [details]
- Haslbeck, J. M. B., & Waldorp, L. J. (2020). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. Journal of Statistical Software, 93, [8]. https://doi.org/10.18637/jss.v093.i08 [details]
- Haslbeck, J. M. B., & Wulff, D. U. (2020). Estimating the Number of Clusters via Normalized Cluster Instability. Computational Statistics, 35(4), 1879–1894. https://doi.org/10.1007/s00180-020-00981-5 [details]
2019
- Dablander, F., Epskamp, S., & Haslbeck, J. M. B. (2019). Studying Statistics Anxiety Requires Sound Statistics: A Comment on Siew, McCartney, and Vitevitch (2019). Scholarship of Teaching and Learning in Psychology, 5(4), 319-323. https://doi.org/10.31234/osf.io/pfnys, https://doi.org/10.1037/stl0000159 [details]
- Kieslich, P. J., Henninger, F., Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2019). Mouse-Tracking: A Practical Guide to Implementation and Analysis. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G. Johnson (Eds.), A Handbook of Process Tracing Methods (2nd ed., pp. 111-130). (The Society for Judgment and Decision Making Series). New York: Routledge. https://doi.org/10.31234/osf.io/zuvqa, https://doi.org/10.4324/9781315160559-9 [details]
- Robinaugh, D. J., Haslbeck, J. M. B., Waldorp, L. J., Kossakowski, J. J., Fried, E. I., Millner, A. J., McNally, R., van Nes, E. H., Scheffer, M., Kendler, K. S., & Borsboom, D. (2019). Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder. Psychological Review. https://doi.org/10.31234/osf.io/km37w
- Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F., & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, & J. J. Johnson (Eds.), A handbook of process tracing methods (2nd ed., pp. 131-145). New York: Routledge. https://doi.org/10.4324/9781315160559-10 [details]
2018
- Haslbeck, J. M. B., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50(2), 853-861. https://doi.org/10.3758/s13428-017-0910-x [details]
2017
- Haslbeck, J. M. B., & Fried, E. I. (2017). How predictable are symptoms in psychopathological networks? A reanalysis of 18 published datasets. Psychological Medicine, 47(16), 2767-2776. https://doi.org/10.1017/S0033291717001258 [details]
- Kossakowski, J. J., Groot, P., Haslbeck, J. M. B., Borsboom, D., & Wichers, M. (2017). Data from ‘Critical Slowing Down as a Personalized Early Warning Signal for Depression’. Journal of Open Psychology Data, 5(1). https://doi.org/10.5334/jopd.29 [details]
2016
- Haslbeck, J. M. B., Wood, G., & Witte, M. (2016). Temporal dynamics of number-space interaction in line bisection: Comment on Cleland and Bull (2015). Quarterly Journal of Experimental Psychology, 69(6), 1239-1242. https://doi.org/10.1080/17470218.2015.1095773 [details]
2015
- Haslbeck, J. M. B., & Waldorp, L. J. (2015). Structure estimation for mixed graphical models in high-dimensional data. arXiv.org. [details]
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Ancillary activities
- No ancillary activities
Haslbeck, J. M. B. (2022). Estimating Group Differences in Network Models using Moderation Analysis. Behavior Research Methods, 54(1), 522-540.