Publications on the network theory of attitudes
Dalege, J., & van der Maas, H. L. J. (in press). Accurate by being noisy: A formal network model of implicit measures of attitudes. Social Cognition.
- In this paper, we apply our network theory of attitudes to the implicit measurement of attitudes. A central implication in this paper is a seemingly paradoxical result: Implicit measures are sometimes more accurate, because they are noisier than explicit measures.
van der Maas, H. L. J., Dalege, J., & Waldorp, L. J. (2020). The polarization within and across individuals: The hierarchical Ising opinion model. Journal of Complex Networks, 8, cnaa010.
- In this paper, we implement our network theory of attitudes in an opinion model of social dynamics. We show that extending our network theory to social dynamics can explain polarization and implies a persuasion paradox: Persuasion can sometimes backfire, because it increases the importance of an attitude.
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, 746-756.
- In this paper, we test the central postulate of the CAN model that strong attitudes correspond to highly connected networks. We also investigate whether attitudes that correspond to highly connected networks are more predictive of behaviour than attitudes that correspond to weakly connected networks.
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, 175-193.
- In this paper, we argue that the main function of thinking about attitude objects is to reduce the entropy of one’s attitude representation. This idea sheds new light on the adaptiveness of consistent attitudes and unifies several different areas of research, such as that on ambivalence, mere thought effects on attitudes, gradual versus abrupt attitude change, attitude-behavior consistency, and implicit versus explicit measurements of attitudes.
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, 218-228.
- In this paper, we respond to the commentaries on the AE framework paper. We provide clarifications regarding the aim and principles of the AE framework, discuss dual-process theories and attitude measurement from the perspective of the framework, analyze to what extent the AE framework provides novel predictions and how the AE framework might be extended to the interpersonal realm. Additionally, we provide an online app to make the AE framework more accessible.
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, 528-537.
- In this paper, we provide a brief tutorial on how to estimate and analyze attitude networks. We also show how one can simulate from an estimated attitude network.
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, 4909.
- In this paper, we show that the impact of attitudes on decisions depends on the connectivity of the attitude network, with central evaluative reactions having higher impact on decisions than peripheral evaluative reactions.
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, 2-22.
- In this paper, we introduce the Causal Attitude Network model and argue that it provides a formalized measurement model of attitudes. We also discuss the model’s implications for attitude structure, attitude change, and attitude strength.
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, 444-468.
Zwicker, M. V., Nohlen, H. U., Dalege, J., Gruter, G.-J., & van Harreveld, F. (2020). Applying an attitude network approach to consumer behaviour towards plastic. Journal of Environmental Psychology, 69, 101433.
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, 604-621.
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). Introducing a science interest network model to reveal country differences. Journal of Educational Psychology. Advance online publication.
Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (2018). Investigating the utility of fixed-margin sampling in network psychometrics. Multivariate Behavioral Research. Advance online publication.
Blanken, T. F., Deserno, M., 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, 5854.
Degner, J. & Dalege, J. (2013). The apple does not fall far from the tree, or does it? A meta-analysis of parent-child similarity. Psychological Bulletin, 139, 1270-1304.
Dalege, J. & Kreemers, L. (2012). Measurement invariance. In H. J. Adér & G. J. Mellenbergh (Eds.), Advising on research methods: Selected topics 2012 (pp. 9-30). Huizen, The Netherlands: Johannes van Kessel Publishing.
DISCLAIMER: Manuscripts here are for academic purposes only and are not intended for mass dissemination or copying. Please refer to applicable fair use laws, including the restrictions from publication copyright holders.