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Mood and judgments based on sequential sampling

Datos Bibliográficos

ID12166288
AutoresKlaus Fiedler (0000-0002-3475-0868, Heidelberg University, autor de correspondencia), Sven‐Yves Renn (Heidelberg University), Yaakov Kareev (0000-0001-9646-4720)
Año2009
Volumen23
Número5
Páginas483-495
Fecha de publicación2009-09-09
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Behavioral Decision Making (JOURNAL)
Identificadores de la revistaISSN: 0894-3257 • E-ISSN: 1099-0771
EditorialWiley (PUBLISHER • GB)
DOI10.1002/bdm.669
OpenAlexW2028121888
IdiomaEN
Citas recibidas3
Referencias citadas27

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

A priori and a posteriori · Affect (linguistics · Cognition · Cognitive psychology · Econometrics · Experience sampling method · Mood · Statistics · Behavioral Health and Interventions · Communication · Decision-Making and Behavioral Economics · Mathematics · Mental Health Research Topics · Psychology · Social Psychology

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Obras citantes distintas3
Citas por año0,38
Intervalo de citas2018 - 2025 (8)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 3
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