Mood and judgments based on sequential sampling

Different adaptive styles characterize cognition and behavior in different affective states. Whereas negative affect supports accommodation (i.e., stimulus-driven bottom-up processing), positive affect supports assimilation (i.e., self-determined top-down processing). Applying this well-established...

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Hauptverfasser: Fiedler, Klaus (VerfasserIn) , Renn, Sven-Yves (VerfasserIn) , Kareev, Yaakov (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 24 November 2010
In: Journal of behavioral decision making
Year: 2010, Jahrgang: 23, Heft: 5, Pages: 483-495
ISSN:1099-0771
DOI:https://doi.org/10.1002/bdm.669
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/https://doi.org/10.1002/bdm.669
Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/bdm.669
Volltext
Verfasserangaben:Klaus Fiedler, Sven-Yves Renn and Yaakov Kareev
Beschreibung
Zusammenfassung:Different adaptive styles characterize cognition and behavior in different affective states. Whereas negative affect supports accommodation (i.e., stimulus-driven bottom-up processing), positive affect supports assimilation (i.e., self-determined top-down processing). Applying this well-established rule to binary choices after self-truncated information sampling, we predicted that positive mood should render choices less dependent on large samples than negative mood. Consequently, the potential primacy advantage underlying Wald's (1947) sequential testing (i.e., quick and correct decisions from the first few items in a sample) was exploited more efficiently when participants were in positive rather than negative mood. This efficient utilization of small samples in positive mood was obtained under the very conditions derived on a priori ground from a statistical model, namely, when a response criterion or threshold was high and when the true difference between choice options was relatively small. Copyright © 2009 John Wiley & Sons, Ltd.
Beschreibung:Gesehen am 17.12.2020
Beschreibung:Online Resource
ISSN:1099-0771
DOI:https://doi.org/10.1002/bdm.669