* shared first authorship / authors contributed equally

Submitted / under review

Sekulovski N., Blanken T. F., Haslbeck J. M. B., Marsman, M. (under review) The Impact of Dichotomization on Network Recovery [PsyArXiv]

Fritz J., Stochl J., Haslbeck J. M. B., Widmer B., Galante J., Moore M., Carey E. G., Allen C. G. H., Acton N., Jonas P. B., Ford T. J. (under review) Lessons Learned from the COVID-19 Pandemic: An Intensive Longitudinal Study Exploring the Dynamic Ecosystem of Psychosocial Factors and Mental Distress Among College Students [PsyArXiv]

Jover Martinzes A., Lemmens L. H. J. M., Fried E. I., Haslbeck J. M. B., Roefs A. (under review) Does the structure of dynamic symptom networks depend on baseline psychopathology in students? [PsyArXiv]

Haslbeck J. M. B.*, Jover-Martinez A.*, Roefs A. J., Fried E. I., Lemmens L. H. J. M., Groot E., Edelsbrunner P. E. (under review) Comparing Likert and Visual Analogue Scales in Ecological Momentary Assessment [PsyArXiv] [Reproducibility Archive]

Dablander F.*, Wimmer S.*, & Haslbeck J. M. B.* (under review) Media Coverage of Climate Activist Groups in Germany [PsyArXiv]

Dablander F., Sachisthal M., & Haslbeck J. M. B. (under review) Going Beyond Research: Climate Actions by Climate and Non-Climate Researchers [PsyArXiV]

Boot J., De Ron J., Haslbeck J. M. B., & Epskamp S. (under revision) Correcting for selection bias after conditioning on a sum-score in the Ising model [OSF Preprint]

Ryan O.*, Haslbeck J. M. B.*, & Robinaugh, D. J.* (under revision) Improving Treatments for Mental Disorders using Computational Models [PsyArXiv] [Reproducibility Archive]

Ryan O.*, Haslbeck J. M. B.*, & Waldorp L. J. (under revision). Non-Stationarity in Time-Series Analysis: Modeling Stochastic and Deterministic Trends [PsyArXiv] [Reproducibility Archive]

Wulff D. U., Kieslich P. J., Henninger F., Haslbeck, J. M. B., & Schulte-Mecklenbeck M. (under revision) 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]

Accepted / In press

Petter J., Mehta A., Petrova K., Kindt M., Sheppes G., Haslbeck J. M. B., Gross J. J. (accepted) Emotion Regulation, Fast or Slow: A Computational Model of Strategy Choice. Emotion.

Marsman, M., van den Bergh, D.& Haslbeck J. M. B. (accepted) Bayesian Analysis of the Ordinal Markov Random Field. Psychometrika. [PsyArXiv] [Reproducibility Archive]

Haslbeck J. M. B., Epskamp S. & Waldorp L. J. (accepted). Testing for Group Differences in Multilevel Vector Autoregressive Models. Behavior Research Methods. [PsyArXiv] [Reproducibility Archive]

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

Ryan O.*, Dablander F.*, & Haslbeck J. M. B.* (accepted). Towards a Generative Model for Emotion Dynamics. Psychological Review. [PsyArXiv] [Model] [Reproducibility Archive]

Briganti G., Scurati M., Epskamp S., Borsboom D., Hoekstra R. H. A., Golino H. F., Christensen A. P., Morvan Y., Ebrahimi O. V., Costantini G., Heeren A., Van Bork R., De Ron J., Bringmann L. F., Huth K., Haslbeck J. M. B., Isvoranu A., Marsman M., Blanken T., Gilbert A., Henry T. R., Fried E. I., McNally R. J. (accepted) Network analysis: an overview for mental health research. International Journal of Methods in Psychiatric Research

2024

Haslbeck J. M. B.* & Epskamp S.* (2024). Observed Correlations between Person-means Depend on Within-person Correlations. advances.in/psychology. [PsyArXiv] [Reproducibility Archive]

Dablander F.*, Sachisthal M.*, Cologna V., Strahm N., Bosshard A., Gruening N-M., Green A., Brick C., Aron A. R., & Haslbeck J. M. B.* (2024) Climate Change Engagement of Scientists. Nature Climate Change. [PsyArXiV] [Link] [PDF]

Borsboom, D. * & Haslbeck J. M. B.* (2024) Integrating Intra- and Interindividual Phenomena in Psychological Theories Multivariate Behavioral Research [PsyArXiV] [Link]

Sekulovski N., Keetelaar S., Haslbeck J. M. B., & Marsman M. (2024) Sensitivity Analysis of Prior Distributions in Bayesian Graphical Modeling: Guiding Informed Prior Choices for Conditional Independence Testing. advances.in/psychology. [PsyArXiv] [Link]

van Dongen, N., van Bork, R., Finnemann, A., Haslbeck, J. M. B., van der Maas, H., Robinaugh, D. J., de Ron, J. & Borsboom, D. (2024). Improving Psychological Explanations. Psychological Review. [PsyArXiv] [Link]

Barnby, J. M., Haslbeck, J. M. B., Rosen, C. & Harrow, M. (2024) Modelling the Longitudinal Dynamics of Paranoia in Psychosis: A Temporal Network Analysis Over 20 Years. Schizophrenia Research. [medRxiv] [Link]

Waldorp, L. J. & Haslbeck, J. M. B. (2024). Network Inference with the Lasso. Multivariate Behavioral Research. [PsyArXiv] [Reproducibility Archive] [Link]

Wallner, T. S., Haslbeck J. M. B., Magnier, L. & Mugge, R. (2024). A network analysis of factors influencing the purchase intentions for refurbished electronics. Sustainable Production and Consumption. [Link]

Haslbeck, J. M. B. & van Bork, R. (2024). Estimating the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors. Psychological Methods. [PsyArXiv] [Reproducibility Archive] [Link]

2023

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. (accepted) Differential impact of preventive cognitive therapy while tapering antidepressants versus maintenance antidepressant treatment on affect fluctuations and individual affect networks and impact on relapse: a secondary analysis of a randomised controlled trial. eClinicalMedicine. [Link]

Gossage, L., Narayanan, A., Dipnall, J., Berk, M., Sumich, A., Haslbeck, J. M. B., Iusitini, L., Wrapson, W., Tautolo, E. & Siegert, R. (accepted). Understanding suicidality in Pacific adolescents in New Zealand using network analysis. Suicide and Life Threatening Behaviour. [PsyArXiv] [Link]

Haslbeck J. M. B.*, Ryan O.*, & Dablander F.* (2023). Multimodality and Skewness in Emotion Time Series. Emotion. [PsyArXiv] [Data Archive] [Code Archive]

Vlaeyen, J. W. S., Haslbeck, J. M. B., Sjouwerman, R. & Peters, M. L. (2023) Time versus obstacles to recovery in pain management. A reply to Manhapra. PAIN. [Link] [PDF]

Fishbein, J. N., Haslbeck J. M. B., & Arch, J. (2023). Network Intervention Analysis of Anxiety-Related Outcomes and Processes of Acceptance and Commitment Therapy (ACT). Behaviour Research and Therapy. [Link] [PsyArXiv]

2022

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. & Waldorp, 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]

2021

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]

2020

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]

2019

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]

2018

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]

2017

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]

2015

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]