Chambon, M., Dalege, J., Borsboom, D., Waldorp, L. J., van der Maas, H. L. J., & van Harreveld, F. (2023). How compliance with behavioural measures during the initial phase of a pandemic develops over time: A longitudinal COVID-19 study. British Journal of Social Psychology, 62(1), 302-321. https://doi.org/10.1111/bjso.12572[details]
Chambon, M., Dalege, J., Elberse, J. E., Neuvel, J. M. M., Claassen, L., van Vliet, A. A. C., & van Harreveld, F. (2023). A tale of two cities: How a psychological network approach can improve our understanding of local residents’ risk perception of the process industries. Journal of Loss Prevention in the Process Industries, 85, Article 105169. https://doi.org/10.1016/j.jlp.2023.105169[details]
Chambon, M., Elberse, J. E., Dalege, J., Beijer, N. R. M., & van Harreveld, F. (2023). Understanding public perceptions toward sustainable healthcare through psychological network analysis of material preference and attitudes toward plastic medical devices. Scientific Reports, 13, Article 17938. https://doi.org/10.1038/s41598-023-45172-6[details]
Borsboom, D., Cramer, A. O. J., Fried, E. I., Isvoranu, A.-M., Robinaugh, D. J., Dalege, J., & Van der Maas, H. L. J. (2022). Network Perspectives. In A.-M. Isvoranu, S. Epskamp, L. Waldorp, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 9-27). (Research methods and statistics). Routledge. https://doi.org/10.4324/9781003111238-2[details]
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
Chambon, M., Dalege, J., Elberse, J. E., & van Harreveld, F. (2022). A Psychological Network Approach to Attitudes and Preventive Behaviors During Pandemics: A COVID-19 Study in the United Kingdom and the Netherlands. Social Psychological and Personality Science, 13(1), 233-245. https://doi.org/10.1177/19485506211002420[details]
Chambon, M., Dalege, J., Waldorp, L. J., Van der Maas, H. L. J., Borsboom, D., & van Harreveld, F. (2022). Tailored interventions into broad attitude networks towards the COVID-19 pandemic. PLoS ONE, 17(10), Article e0276439. https://doi.org/10.1371/journal.pone.0276439[details]
Chambon, M., Kammeraad, W. G., van Harreveld, F., Dalege, J., Elberse, J. E., & van der Maas, H. L. J. (2022). Understanding change in COVID-19 vaccination intention with network analysis of longitudinal data from Dutch adults. npj Vaccines, 7, Article 114. https://doi.org/10.1038/s41541-022-00533-6[details]
Dalege, J., Haslbeck, J. M. B., & Marsman, M. (2022). Idealized Modeling of Psychological Dynamics. In A-M. Isvoranu, S. Epskamp, L. Waldrop, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 233-245). (Research methods and statistics). Routledge. https://doi.org/10.4324/9781003111238-17[details]
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]
Borsboom, D., van der Maas, H. L. J., Dalege, J., Kievit, R. A., & Haig, B. D. (2021). Theory Construction Methodology: A Practical Framework for Building Theories in Psychology. Perspectives on Psychological Science, 16(4), 756-766. https://doi.org/10.1177/1745691620969647[details]
Conner, M., Wilding, S., van Harreveld, F., & Dalege, J. (2021). Cognitive-Affective Inconsistency and Ambivalence: Impact on the Overall Attitude–Behavior Relationship. Personality and Social Psychology Bulletin, 47(4), 673-687. Advance online publication. https://doi.org/10.1177/0146167220945900[details]
Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (2021). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics. Multivariate Behavioral Research, 56(2), 314-328 . Advance online publication. https://doi.org/10.1080/00273171.2018.1489771[details]
Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M. & Cramer, A. O. J. (2023). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics. Taylor & Francis. https://doi.org/10.6084/m9.figshare.23301469.v1
Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M. & Cramer, A. O. J. (2023). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics. Taylor & Francis. https://doi.org/10.6084/m9.figshare.23301469.v1
2020
Dalege, J., & van der Maas, H. L. J. (2020). Accurate by Being Noisy: A Formal Network Model of Implicit Measures of Attitudes. Social Cognition, 38(Supplement), S26-S41. Advance online publication. https://doi.org/10.1521/soco.2020.38.supp.s26[details]
Lange, J., Dalege, J., Borsboom, D., van Kleef, G. A., & Fischer, A. H. (2020). Toward an Integrative Psychometric Model of Emotions. Perspectives on Psychological Science, 15(2), 444-468. https://doi.org/10.1177/1745691619895057[details]
Sachisthal, M. S. M., Jansen, B. R. J., Dalege, J., & Raijmakers, M. E. J. (2020). Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. Australian Journal of Education, 64(3), 264-281. https://doi.org/10.1177/0004944120957477[details]
Sachisthal, M., Dalege, J., Jansen, B. R. J. & Raijmakers, M. E. J. (2020). sj-xlsx-3-aed-10.1177_0004944120957477 - Supplemental material for Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. SAGE Journals. https://doi.org/10.25384/sage.13042350.v1
Dalege, J., Raijmakers, M. E. J., Sachisthal, M. & Jansen, B. R. J. (2020). Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. SAGE Journals. https://doi.org/10.25384/sage.c.5140476.v1
Sachisthal, M., Dalege, J., Jansen, B. R. J. & Raijmakers, M. E. J. (2020). sj-xlsx-3-aed-10.1177_0004944120957477 - Supplemental material for Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. SAGE Journals. https://doi.org/10.25384/sage.13042350.v1
Zwicker , M. V., Nohlen, H. U., Dalege, J., Gruter, G-JM., & van Harreveld, F. (2020). Applying an attitude network approach to consumer behaviour towards plastic. Journal of Environmental Psychology, 69, Article 101433. Advance online publication. https://doi.org/10.1016/j.jenvp.2020.101433[details]
van der Maas, H. L. J., Dalege, J., & Waldorp, L. (2020). The polarization within and across individuals: the hierarchical Ising opinion model. Journal of complex networks, 8(2). https://doi.org/10.1093/comnet/cnaa010[details]
Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. J. (2019). A Network Perspective on Attitude Strength: Testing the Connectivity Hypothesis. Social Psychological and Personality Science, 10(6), 746-756. https://doi.org/10.1177/1948550618781062[details]
Sachisthal, M. S. M., Jansen, B. R. J., Peetsma, T. T. D., Dalege, J., van der Maas, H. L. J., & Raijmakers, M. E. J. (2019). Introducing a Science Interest Network Model to Reveal Country Differences. Journal of Educational Psychology, 111(6), 1063-1080. https://doi.org/10.1037/edu0000327[details]
Sayans Jiménez, P., van Harreveld, F., Dalege, J., & Rojas Tajada, A. J. (2019). Investigating stereotype structure with empirical network models. European Journal of Social Psychology, 49(3), 604-621. https://doi.org/10.1002/ejsp.2505[details]
Blanken, T. F., Deserno, M. K., Dalege, J., Borsboom, D., Blanken, P., Kerkhof, G. A., & Cramer, A. O. J. (2018). The role of stabilizing and communicating symptoms given overlapping communities in psychopathology networks. Scientific Reports, 8, Article 5854. https://doi.org/10.1038/s41598-018-24224-2[details]
Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. J. (2018). The Attitudinal Entropy (AE) Framework as a General Theory of Individual Attitudes. Psychological Inquiry, 29(4), 175-193. https://doi.org/10.1080/1047840X.2018.1537246[details]
Dalege, J., Borsboom, D., van Harreveld, F., & van der Maas, H. L. J. (2017). Network Analysis on Attitudes: A Brief Tutorial. Social Psychological and Personality Science, 8(5), 528-537. https://doi.org/10.1177/1948550617709827[details]
Dalege, J., Borsboom, D., van Harreveld, F., Waldorp, L. J., & van der Maas, H. L. J. (2017). Network Structure Explains the Impact of Attitudes on Voting Decisions. Scientific Reports, 7, Article 4909. https://doi.org/10.1038/s41598-017-05048-y[details]
Dalege, J., Borsboom, D., van Harreveld, F., van den Berg, H., Conner, M., & van der Maas, H. L. J. (2016). Toward a formalized account of attitudes: the Causal Attitude Network (CAN) model. Psychological Review, 123(1), 2-22. Advance online publication. https://doi.org/10.1037/a0039802[details]
Degner, J., & Dalege, J. (2013). The apple does not fall far from the tree, or does It? A meta-analysis of parent-child similarity in intergroup attitudes. Psychological Bulletin, 139(6), 1270-1304. https://doi.org/10.1037/a0031436[details]
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]
2018
Dalege, J., Borsboom, D., van Harreveld, F., Lunansky, G., & van der Maas, H. L. J. (2018). The Attitudinal Entropy (AE) Framework: Clarifications, Extensions, and Future Directions. Psychological Inquiry, 29(4), 218-228. https://doi.org/10.1080/1047840X.2018.1542235[details]
Sachisthal, M. S. M., Jansen, B. R. J., Peetsma, T. T. D., Dalege, J., van der Maas, H. L. J., & Raijmakers, M. E. J. (2018). The network approach in motivation research - psychological, social and similarity-based networks.. Paper presented at TIME: Time perspective Intervention of Motivation Enhancement. , Aarhus, Denmark.
Spreker
Nohlen, H. U. (speaker) & Dalege, J. (speaker) (1-11-2018). Attitudes begrijpen aan de hand van netwerkmodellen;, Congres Handhaving en Gedrag, Amsterdam.
Nohlen, H. U. (speaker) & Dalege, J. (speaker) (18-10-2018). Een netwerk perspectief op attitudes en gedrag, Dag van het Gedrag, Den Haag.
Dalege, J. (speaker) (27-9-2018). Psych(w/o)metrics: A quantum mechanics analogy of psychological measurement., Conference on Complex Systems 2018, Thessaloniki.
Dalege, J. (speaker) (20-1-2017). Understanding attitudes and other psychological constructs as individual networks., Fresh Perspectives on Personality and Social Psychology Processes, San Antonio.
Dalege, J. (speaker) (19-1-2017). A network perspective on attitude strength: Network connectivity as a formalized conceptualization of attitude strength., preconference "Dynamical Systems and Computational Modeling in Social Psychology", San Antonio.
2024
Chambon, M. (2024). The complexity of behaviour in relation to health, safety and sustainability: A psychological network approach. [Thesis, externally prepared, Universiteit van Amsterdam]. [details]
Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M. & Cramer, A. O. J. (2023). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics. Taylor & Francis. https://doi.org/10.6084/m9.figshare.23301469.v1
2020
Dalege, J., Raijmakers, M. E. J., Sachisthal, M. & Jansen, B. R. J. (2020). Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. SAGE Journals. https://doi.org/10.25384/sage.c.5140476.v1
Sachisthal, M., Dalege, J., Jansen, B. R. J. & Raijmakers, M. E. J. (2020). sj-xlsx-3-aed-10.1177_0004944120957477 - Supplemental material for Relating teenagers’ science interest network characteristics to later science course enrolment: An analysis of Australian PISA 2006 and Longitudinal Surveys of Australian Youth data. SAGE Journals. https://doi.org/10.25384/sage.13042350.v1
De UvA gebruikt cookies voor het meten, optimaliseren en goed laten functioneren van de website. Ook worden er cookies geplaatst om inhoud van derden te kunnen tonen en voor marketingdoeleinden. Klik op ‘Accepteren’ om akkoord te gaan met het plaatsen van alle cookies. Of kies voor ‘Weigeren’ om alleen functionele en analytische cookies te accepteren. Je kunt je voorkeur op ieder moment wijzigen door op de link ‘Cookie instellingen’ te klikken die je onderaan iedere pagina vindt. Lees ook het UvA Privacy statement.