Print Email Facebook Twitter Toward a formalized account of attitudes: The Causal Attitude Network (CAN) Model Title Toward a formalized account of attitudes: The Causal Attitude Network (CAN) Model Author Dalege, J. Borsboom, D. van Harreveld, F. van den Berg, H. Conner, M. van der Maas, H.L.J. Publication year 2016 Abstract This article introduces the Causal Attitude Network (CAN) model, which conceptualizes attitudes as networks consisting of evaluative reactions and interactions between these reactions. Relevant evaluative reactions include beliefs, feelings, and behaviors toward the attitude object. Interactions between these reactions arise through direct causal influences (e.g., the belief that snakes are dangerous causes fear of snakes) and mechanisms that support evaluative consistency between related contents of evaluative reactions (e.g., people tend to align their belief that snakes are useful with their belief that snakes help maintain ecological balance). In the CAN model, the structure of attitude networks conforms to a small-world structure: evaluative reactions that are similar to each other form tight clusters, which are connected by a sparser set of "shortcuts" between them. We argue that the CAN model provides a realistic formalized measurement model of attitudes and therefore fills a crucial gap in the attitude literature. Furthermore, the CAN model provides testable predictions for the structure of attitudes and how they develop, remain stable, and change over time. Attitude strength is conceptualized in terms of the connectivity of attitude networks and we show that this provides a parsimonious account of the differences between strong and weak attitudes. We discuss the CAN model in relation to possible extensions, implication for the assessment of attitudes, and possibilities for further study. © 2016 American Psychological Association. Subject Human & Operational ModellingHOI - Human Behaviour & Organisational InnovationsELSS - Earth, Life and Social SciencesAttitudesConnectionismNetwork modelsSmall-worldTripartite model To reference this document use: http://resolver.tudelft.nl/uuid:ba28d016-5d05-4a79-bb0e-39ca3d62d308 DOI https://doi.org/10.1037/a0039802 TNO identifier 531080 Publisher American Psychological Association Inc. ISSN 0033-295X Source Psychological Review, 123 (1), 2-22 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.