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Making Trade-Offs: A Probabilistic and Context-Sensitive Model of Choice Behavior
The stochastic difference model assumes that decision makers trade normalized attribute value differences when making choices. The model is stochastic, with choice probabilities depending on the normalized difference variable, d, and a decision threshold, δ. The decision threshold indexes a person...
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Published in: | Psychological review 2002-01, Vol.109 (1), p.137-155 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The stochastic difference model assumes that decision makers trade
normalized attribute value differences when making choices. The model is
stochastic, with choice probabilities depending on the normalized
difference variable,
d,
and a decision
threshold, δ. The decision threshold indexes a person's
sensitivity to attribute value differences and is a free estimated parameter of
the model. Depending on the choice context, a person may be more
or less sensitive to attribute value differences, and hence δ may be
used to measure context effects. With proportional difference used as
the normalization, the proportional difference model (PD) was
tested with 9 data sets, including published data
(e.g.,
J.
L. Myers, M. M. Suydam, & B.
Gambino, 1965
;
A.
Tversky, 1969
). The model accounted for individual
and group data well and described violations of stochastic dominance,
independence, and weak and strong stochastic transitivity. |
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ISSN: | 0033-295X 1939-1471 |
DOI: | 10.1037/0033-295X.109.1.137 |