Publications on the network theory of attitudes 

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 AttitudesPsychological 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 DirectionsPsychological 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. (2018). A network perspective on attitude strength: Testing the connectivity hypothesisSocial Psychological and Personality Science. Advance online publication.

  • 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. (2017). Network analysis on attitudes: A brief tutorialSocial 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. You can find the  R-scripts here.

Other Publications

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 psychometricsMultivariate 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.

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