* shared first authorship

Submitted / under review

van der Wal, J. M., van Borkulo, C., Haslbeck, J. M. B., Slofstra, C., Klein, N. S., Blanken, T. F., Deserno, M. K., Lok, A., Nauta M. H., & Bockting C. L. (under review) Effects of various relapse prevention strategies on affect dynamics and its impact on depressive relapse using network analysis: a randomized controlled trial.

Vlaeyen, J. W. S., Haslbeck, J. M. B., Sjouwerman, R. & Peters, M. L. (submitted) Time versus obstacles to recovery in pain management. A reply to Manhapra.

Wallner, T. S., Haslbeck J. M. B., Magnier, L. & Mugge, R. (under review). A network analysis of factors influencing the purchase intentions for refurbished electronics.

Fishbein, J. N., Haslbeck J. M. B., & Arch, J. (under review). Network Intervention Analysis of Anxiety-Related Outcomes and Processes of Acceptance and Commitment Therapy (ACT) [PsyArXiv]

Haslbeck J. M. B.*, Ryan O.*, & Dablander F.* (under revision). Multimodality and Skewness in Emotion Time Series. [PsyArXiv] [Data Archive] [Code Archive]

van Dongen, N., van Bork, R., Finnemann, A., Haslbeck, J. M. B., van der Maas, H., Robinaugh, D. J., de Ron, J. & Borsboom, D. (under review). Improving Psychological Explanations. [PsyArXiv]

Lourens, L. J. & Haslbeck, J. M. B. (under review). Network Inference with the Lasso [PsyArXiv] [Reproducibility Archive]

Wulff D. U., Kieslich P. J., Henninger F., Haslbeck, J. M. B., & Schulte-Mecklenbeck M. (under review) Movement tracking of cognitive processes: A tutorial using mousetrap [PsyArXiv]

Dekker, M., Walentek, D., Haslbeck J. M. B. & Broere, J. (under review). Strategy Under Uncertainty: International Conflict and Variation in Information [Preprint]

Robinaugh, D. J., Haslbeck J. M. B., Waldorp, L. J., Kossakowski, J. J., Fried, E. I., Millner, A., McNally, R. J., van Nes, E. H., Scheffer, M., Kendler, K. S. & Borsboom, D. (under revision). Advancing the Network Theory of Mental Disorders: A Computational Model of Panic Disorder. [PsyArXiv]

Accepted / In press


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. [PsyArXiv] [Reproducibility Archive] [Link]

Vlaeyen, J. W. S., Haslbeck, J. M. B., Sjouwerman, R. & Peters, M. L. (2022). Towards a dynamic account of chronic pain. PAIN. [Link] [PDF]

Borsboom, D., Haslbeck, J. M. B., & Robinaugh D. J. (2022). Systems-based approaches to mental disorders are the only game in town. World Psychiatry [PDF]

Haslbeck, J. M. B., Vermunt, J. K. & Lourens, L. J. (2022). The Impact of Ordinal Scales on Gaussian Mixture Recovery. Behavior Research Methods. [Link] [PsyArXiv] [Reproducibility Archive]

Haslbeck J. M. B., Ryan, O., van der Maas, H. L., & Waldorp, L. J. Modeling Change in Networks. In Network Psychometrics with R (pp. 193-209). Routledge. [Link]

Dalege, J., Haslbeck J. M. B., & Marsman, M. Idealized Modeling of Psychological Dynamics. In Network Psychometrics with R (pp. 233-245). Routledge. [Link]

Epskamp, S., Haslbeck J. M. B.., Isvoranu, A. M., & van Borkulo, C. D. (2021) Pairwise Markov Random Fields. In Network Psychometrics with R (pp. 93-110). Routledge. [Link]


Haslbeck J. M. B.*, Ryan O.*, & Dablander F.* (2021). The Sum of All Fears: Comparing Networks Based on Symptom Sum-Scores. Psychological Methods. [PsyArXiv] [Link] [Reproducibility Archive]

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. (2021). Reporting Standards for Psychological Network Analyses in Cross-sectional Data. Psychological Methods. [PsyArXiv] [Link]

Haslbeck J. M. B.*, Ryan O.*, Robinaugh D. J.*, Waldorp L. J., Borsboom D. (2021). Modeling Psychopathology: From Data Models to Formal Theories. Psychological Methods. [PsyArXiv] [Link] [PDF] [Reproducibility Archive]

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. [Link]

Haslbeck J. M. B. (2021). Estimating Group Differences in Network Models using Moderation Analysis. Behavior Research Methods. [PsyArXiv] [Link] [Reproducibility Archive]

Haslbeck J. M. B.* & Ryan O.* (2021). Recovering Within-Person Dynamics from Psychological Time Series. Multivariate Behavioral Research. [PsyArXiv] [Link] [Reproducibility Archive]

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. [Link] [Reproducibility Archive]

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, 301. [Link] [Reproducibility Archive]

Aalbers G., Engels T., Haslbeck J. M. B., Borsboom D. & Arntz A (2021). The Network Structure of Schema Modes. Clinical Psychology & Psychotherapy. [PsyArXiv] [Link]

Robinaugh, D., Haslbeck J. M. B., Ryan, O., Fried, E. I., & Waldorp, L. (2021). Invisible Hands and Fine Calipers: A Call to Use Formal Theory as a Toolkit for Theory Construction. Perspectives on Psychological Science. [PsyArXiv] [Link] [Reproducibility Archive]

Moriarity D. P., Horn S. R., Kautz M.M, Haslbeck J. M. B. & Alloy L. B. (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. [PsyArXiv] [Link]

Walentek, D., Broere, J., Cinelli, M, Dekker, M., & Haslbeck J. M. B. (2021). Success of Economic Sanctions Threats: Coercion, Information and Commitment. International Interactions. [Preprint] [Link]


Dablander F.*, Ryan O.* & Haslbeck J. M. B.* (2020). Choosing between AR(1) and VAR(1) Models in Typical Psychological Applications. PloS One. [PsyArXiv] [Link] [Reproducibility Archive]

Haslbeck J. M. B. (2020). Modeling psychopathology: From data models to formal theories. (Doctoral Thesis) [Link]

Haslbeck J. M. B., Wulff. D. U., (2020). Estimating the Number of Clusters via Normalized Cluster Instability. Computational Statistics. [PDF] [arXiv] [Reproducibility Archive]

Haslbeck J. M. B., Waldorp L. J. (2020). mgm: Structure Estimation for Time-Varying Mixed Graphical Models in high-dimensional Data. The Journal of Statistical Software. [arXiv] [Link]

Haslbeck J. M. B., Bringmann L. F., & Waldorp, L. J. (2020). A Tutorial on Estimating Time-Varying Vector Autoregressive Models. Multivariate Behavioral Research. [Link] [arXiv] [Reproducibility Archive]

Haslbeck J. M. B., Epskamp S. & Marsman M., Waldorp L. J. (2020). Interpreting the Ising Model: The Input Matters. Multivariate Behavioral Research. [arXiv] [Reproducibility Archive]


Haslbeck J. M. B., Borsboom D. & Waldorp L. J. (2019). Moderated Network Models. Multivariate Behavioral Research. [PDF] [arXiv] [Reproducibility Archive]

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. New York, NY: Routledge. [PsyArXiv]

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. Kuehberger, & J. G. Johnson (Ed.), A handbook of process tracing methods (2. ed.). Psychology Press. [PsyArXiv]

Fried E. I., von Stockert S., Haslbeck J. M. B., Lamers F., Schoevers, R.A. & Pennix B. W. J. H. (2019). Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates. Psychological Medicine. [Link] [PsyArXiv] [Reproducibility Archive]

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. [PsyArXiv]


Haslbeck J. M. B., Waldorp L. J. (2018). How well do Network Models predict Future Observations? On the Importance of Predictability in Network Models. Behavior Research Methods. [Link] [arXiv]


Haslbeck J. M. B., Fried E. I. (2017). How Predictable are Symptoms in Psychopathological Networks? A Reanalysis of 18 Published Datasets. Psychological Medicine. [PDF] [Supplement] [Reproducibility Archive]

Kossakowski, J. J., Groot, P. C., 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, DOI: https://doi.org/10.5334/jopd.29. [PDF] [OSF]


Haslbeck J. M. B., Wood G., Witte M. (2015). Temporal dynamics of number-space interaction in line bisection: Comment on Cleland and Bull. Quarterly Journal of Experimental Psychology. [Link] [Reproducibility Archive]