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• W2000390841 abstract "The purpose of this research is to explore the effect of mood on the detection of covariation. Predictions were based on an assumption that sad moods facilitate a data-driven information elaboration style and careful data scrutinizing, whereas happy moods predispose individuals toward top-down information processing and decrease the attention given to cognitive tasks. The primary dependent variable involved is the detection of covariation between facial features and personal information and the use of this information for evaluating new target faces. The findings support the view that sad mood facilitates both conscious and unconscious detection of covariation because it increases motivation to engage in the task. Limiting available cognitive resources does not eliminate the effect of mood on the detecting of covariation." @default.
• W2000390841 created "2016-06-24" @default.
• W2000390841 creator A5065597096 @default.
• W2000390841 date "2005-11-01" @default.
• W2000390841 modified "2023-09-26" @default.
• W2000390841 title "The Effect of Mood on Detection of Covariation" @default.
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• W2000390841 doi "https://doi.org/10.1177/0146167205276152" @default.
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