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- W2071757264 abstract "The role of motivated attention in probabilistic judgment was investigated. Predictions were based on the natural sample spaces model (Gavanksi & Hui, 1992; Sherman, McMullen, & Gavanski, 1992), which provides a framework for understanding when accuracy or inaccuracy in probabilistic judgment will occur, based on how people have categorized the information used in the judgment. Participants viewed a set of cartoon faces, and were instructed that one of two feature dimensions (e.g., hair or teeth) would most heavily determine the outcome of a video game to be played later. It was hypothesized that this manipulation would motivate participants to categorize the faces along the more important dimension. Participants then made judgments regarding the frequency of faces they had seen with different features. Results were in line with predictions of the natural sample spaces model: When participants had been motivated to attend to the feature dimension that corresponded to the appropriate sample space for that judgment, sensitivity to base rates and accuracy resulted; when participants had been motivated to attend to an inappropriate feature dimension, base-rate neglect and relative inaccuracy resulted. Results have implications for the role of motivation and categorization in judgment." @default.
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- W2071757264 date "1997-06-01" @default.
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- W2071757264 title "Motivation, Attention, and Judgment: A Natural Sample Spaces Account" @default.
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- W2071757264 doi "https://doi.org/10.1521/soco.1997.15.2.77" @default.
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