ArticleProceedings of the National Academy of Sciences of the United States of America2026
Classifying strategy use in multiattribute subjective choice: Application to conjoint experiments in political science.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Classifying strategy use in multiattribute subjective choice: Application to conjoint experiments in political science.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
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Authors and funding
2 authors.
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Abstract
Conjoint experiments are extensively used across multiple disciplines to make inferences about preferences over multiattribute alternatives. Much previous research has analyzed the importance of attributes at the aggregate level. Here, we focus on understanding individual-level behavior and, specifically, on strategy use. We present a Bayesian cognitive model of strategy use that performs attribute weight inference (how important an attribute is), attribute level inference (which value of the attribute is favored), and latent-mixture inference to classify strategy use among well-established strategies in cognitive science. We then validate and apply our model to two conjoint experiments (
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