Treffer: Sequential processing of cues in memory-based multiattribute decisions

Title:
Sequential processing of cues in memory-based multiattribute decisions
Source:
Psychonomic bulletin & review. 14(5):895-900
Publisher Information:
Austin, TX: Psychonomic Society, 2007.
Publication Year:
2007
Physical Description:
print, 1/2 p
Original Material:
INIST-CNRS
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
University of Bonn, Bonn, Germany
Max Planck Institute for Research on Collective Goods, Bonn, Germany
Max Planck Institute for Human Development, Berlin, Germany
ISSN:
1069-9384
Rights:
Copyright 2008 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Psychology. Ethology

FRANCIS
Accession Number:
edscal.19873007
Database:
PASCAL Archive

Weitere Informationen

When probabilistic inferences have to be made from cue values stored in long-term memory, many participants appear to use fast and frugal heuristics, such as take the best (TTB), that assume sequential search of cues. A simultaneous global matching process with cue weights that are appropriately chosen would mimic the decision outcomes, albeit assuming different cognitive processes. We present a reanalysis of response times (RTs) from five published experiments (n = 415) and one new experiment (n = 82) that support the assumption of sequential search. In all instances in which decision outcomes indicated the use of TTB's decision rule, decision times increased monotonically with the number of cues that had to be searched in memory. Furthermore, RT patterns fitted the outcome-based strategy classifications, which further validates both measures.