Literature DB >> 19839685

Decision-tree models of categorization response times, choice proportions, and typicality judgments.

Daniel Lafond1, Yves Lacouture, Andrew L Cohen.   

Abstract

The authors present 3 decision-tree models of categorization adapted from T. Trabasso, H. Rollins, and E. Shaughnessy (1971) and use them to provide a quantitative account of categorization response times, choice proportions, and typicality judgments at the individual-participant level. In Experiment 1, the decision-tree models were fit to reaction time and choice proportion data from a study reported by A. L. Cohen and R. M. Nosofsky (2003). In Experiment 2, participants were also asked to provide typicality ratings for each stimulus. A process-tracing method called the "4-questions game" (Y. Sayeki, 1969) was used in a posttest phase to identify a decision tree for each participant. In both experiments, the decision-tree models explained a very high proportion of variance in the data and compared favorably with 2 leading exemplar models.

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Year:  2009        PMID: 19839685     DOI: 10.1037/a0017188

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  6 in total

1.  Classification response times in probabilistic rule-based category structures: contrasting exemplar-retrieval and decision-boundary models.

Authors:  Robert M Nosofsky; Daniel R Little
Journal:  Mem Cognit       Date:  2010-10

2.  Logical-rule models of classification response times: a synthesis of mental-architecture, random-walk, and decision-bound approaches.

Authors:  Mario Fific; Daniel R Little; Robert M Nosofsky
Journal:  Psychol Rev       Date:  2010-04       Impact factor: 8.934

3.  Response-time tests of logical-rule models of categorization.

Authors:  Daniel R Little; Robert M Nosofsky; Stephen E Denton
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2011-01       Impact factor: 3.051

4.  Traditional microscopy instruction versus process-oriented virtual microscopy instruction: a naturalistic experiment with control group.

Authors:  Laura Helle; Markus Nivala; Pauliina Kronqvist; Andreas Gegenfurtner; Pasi Björk; Roger Säljö
Journal:  Diagn Pathol       Date:  2011-03-30       Impact factor: 2.644

5.  Investigating the structure of semantic networks in low and high creative persons.

Authors:  Yoed N Kenett; David Anaki; Miriam Faust
Journal:  Front Hum Neurosci       Date:  2014-06-10       Impact factor: 3.169

6.  Metaphor Comprehension in Low and High Creative Individuals.

Authors:  Yoed N Kenett; Rinat Gold; Miriam Faust
Journal:  Front Psychol       Date:  2018-04-09
  6 in total

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