The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
The multiattribute linear ballistic accumulator model of context effects in multialternative choice.
Open accessAbstract
Context effects occur when a choice between 2 options is altered by adding a 3rd alternative. Three major context effects--similarity, compromise, and attraction--have wide-ranging implications across applied and theoretical domains, and have driven the development of new dynamic models of multiattribute and multialternative choice. We propose the multiattribute linear ballistic accumulator (MLBA), a new dynamic model that provides a quantitative account of all 3 context effects. Our account applies not only to traditional paradigms involving choices among hedonic stimuli, but also to recent demonstrations of context effects with nonhedonic stimuli. Because of its computational tractability, the MLBA model is more easily applied than previous dynamic models. We show that the model also accounts for a range of other phenomena in multiattribute, multialternative choice, including time pressure effects, and that it makes a new prediction about the relationship between deliberation time and the magnitude of the similarity effect, which we confirm experimentally.
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Cites
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Cited by
Cognitive and Neural Bases of Multi-Attribute, Multi-Alternative, Value-based Decisions
Busemeyer, J. R., Gluth, S., Rieskamp, J., & Turner, B. M. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.003 · Cited by 267
Accounting for attention in sequential sampling models of decision making
Krajbich, I. (2019) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.10.008 · Cited by 165
Metadata
- Authors
- Trueblood, J. S., Brown, S. D., & Heathcote, A.
- Venue
- Psychological Review
- Published
- 2014-04
- Volume
- 121
- Issue
- 2
- Pages
- 179-205
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W1977516554
- Cited by
- 272
- References
- 78
- FWCI
- 16.75
- Type
- journal article
- Language
- en
- Open access
- green
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