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Results: 12
Number of items: 12
  • Open Access
    Hoekstra, H. A. (2025). Within, between and beyond heterogeneity: Uncovering individual differences using network models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Briganti, G., Scutari, M., Epskamp, S., Borsboom, D., Hoekstra, R. H. A., Fernandes Golino, H., Christensen, A. P., Morvan, Y., Ebrahimi, O. V., Costantini, G., Heeren, A., de Ron, J., Bringmann, L. F., Huth, K., Haslbeck, J. M. B., Isvoranu, A.-M., Marsman, M., Blanken, T., Gilbert, A., ... McNally, R. J. (2024). Network analysis: An overview for mental health research. International Journal of Methods in Psychiatric Research, 33(4), Article e2034. https://doi.org/10.1002/mpr.2034
  • Open Access
    Ebrahimi, O. V., Borsboom, D., Hoekstra, R. H. A., Epskamp, S., Ostinelli, E. G., Bastiaansen, J. A., & Cipriani, A. (2024). Towards precision in the diagnostic profiling of patients: Leveraging symptom dynamics as a clinical characterisation dimension in the assessment of major depressive disorder. British Journal of Psychiatry, 224(5), 157-163. https://doi.org/10.1192/bjp.2024.19
  • Open Access
    Lunansky, G., Hoekstra, R. H. A., & Blanken, T. F. (2023). Disentangling the Role of Affect in the Evolution of Depressive Complaints Using Complex Dynamical Networks. Collabra: Psychology, 9, Article 74841. https://doi.org/10.1525/collabra.74841
  • Open Access
    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. (2023). Reporting Standards for Psychological Network Analyses in Cross-Sectional Data. Psychological Methods, 28(4), 806–824. https://doi.org/10.31234/osf.io/4y9nz, https://doi.org/10.1037/met0000471
  • Open Access
    Hoekstra, R. H. A., Epskamp, S., & Borsboom, D. (2023). Heterogeneity in Individual Network Analysis: Reality or Illusion? Multivariate Behavioral Research, 58(4), 762-786. https://doi.org/10.1080/00273171.2022.2128020
  • Open Access
    van der Tuin, S., Hoekstra, R. H. A., Booij, S. H., Oldehinkel, A. J., Wardenaar, K. J., van den Berg, D., Borsboom, D., & Wigman, J. T. W. (2023). Relating stability of individual dynamical networks to change in psychopathology. PLoS ONE, 18(11), Article e0293200. https://doi.org/10.1371/journal.pone.0293200
  • Open Access
    Burger, J., Hoekstra, R. H. A., Mansueto, A. C., & Epskamp, S. (2022). Network estimation from time series and panel data. In A.-M. Isvoranu, S. Epskamp, L. Waldorp, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 169-192). (Research methods and statistics). Routledge. https://doi.org/10.4324/9781003111238-13
  • Vervaet, M., Puttevils, L., Hoekstra, R. H. A., Fried, E., & Vanderhasselt, M.-A. (2021). Transdiagnostic vulnerability factors in eating disorders: A network analysis. European Eating Disorders Review, 29(1), 86-100. https://doi.org/10.1002/erv.2805
  • Robinaugh, D. J., Hoekstra, R. H. A., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research. Psychological Medicine, 50(3), 353-366. https://doi.org/10.1017/S0033291719003404
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