Literature DB >> 20046841

Thurstonian-Based Analyses: Past, Present, and Future Utilities.

Ulf Böckenholt1.   

Abstract

Current psychometric models of choice behavior are strongly influenced by Thurstone's (1927, 1931) experimental and statistical work on measuring and scaling preferences. Aided by advances in computational techniques, choice models can now accommodate a wide range of different data types and sources of preference variability among respondents induced by such diverse factors as person-specific choice sets or different functional forms for the underlying utility representations. At the same time, these models are increasingly challenged by behavioral work demonstrating the prevalence of choice behavior that is not consistent with the underlying assumptions of these models. I discuss new modeling avenues that can account for such seemingly inconsistent choice behavior and conclude by emphasizing the interdisciplinary frontiers in the study of choice behavior and the resulting challenges for psychometricians.

Entities:  

Year:  2007        PMID: 20046841      PMCID: PMC2798976          DOI: 10.1007/s11336-006-1598-5

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  11 in total

1.  Making trade-offs: a probabilistic and context-sensitive model of choice behavior.

Authors:  Claudia González-Vallejo
Journal:  Psychol Rev       Date:  2002-01       Impact factor: 8.934

2.  Structural equation modeling of paired-comparison and ranking data.

Authors:  Albert Maydeu-Olivares; Ulf Böckenholt
Journal:  Psychol Methods       Date:  2005-09

3.  A dynamic, stochastic, computational model of preference reversal phenomena.

Authors:  Joseph G Johnson; Jerome R Busemeyer
Journal:  Psychol Rev       Date:  2005-10       Impact factor: 8.934

4.  Comparative judgments as an alternative to ratings: identifying the scale origin.

Authors:  Ulf Böckenholt
Journal:  Psychol Methods       Date:  2004-12

5.  A latent markov model for the analysis of longitudinal data collected in continuous time: states, durations, and transitions.

Authors:  Ulf Böckenholt
Journal:  Psychol Methods       Date:  2005-03

Review 6.  Imaging valuation models in human choice.

Authors:  P Read Montague; Brooks King-Casas; Jonathan D Cohen
Journal:  Annu Rev Neurosci       Date:  2006       Impact factor: 12.449

7.  Using discrete choice experiments to estimate a preference-based measure of outcome--an application to social care for older people.

Authors:  Mandy Ryan; Ann Netten; Diane Skåtun; Paul Smith
Journal:  J Health Econ       Date:  2006-02-07       Impact factor: 3.883

Review 8.  Rationality.

Authors:  Eldar Shafir; Robyn A LeBoeuf
Journal:  Annu Rev Psychol       Date:  2002       Impact factor: 24.137

9.  Multi-variate probit analysis.

Authors:  J R Ashford; R R Sowden
Journal:  Biometrics       Date:  1970-09       Impact factor: 2.571

Review 10.  Beyond pleasure and pain.

Authors:  E T Higgins
Journal:  Am Psychol       Date:  1997-12
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  4 in total

1.  Testing transitivity of preferences on two-alternative forced choice data.

Authors:  Michel Regenwetter; Jason Dana; Clintin P Davis-Stober
Journal:  Front Psychol       Date:  2010-12-13

2.  A Hierarchical Model for Accuracy and Choice on Standardized Tests.

Authors:  Steven Andrew Culpepper; James Joseph Balamuta
Journal:  Psychometrika       Date:  2015-11-25       Impact factor: 2.500

3.  Item Response Models for Forced-Choice Questionnaires: A Common Framework.

Authors:  Anna Brown
Journal:  Psychometrika       Date:  2014-12-10       Impact factor: 2.500

4.  Exploring Community-Based Options for Reducing Youth Crime.

Authors:  Kim Edmunds; Laura Wall; Scott Brown; Andrew Searles; Anthony P Shakeshaft; Christopher M Doran
Journal:  Int J Environ Res Public Health       Date:  2021-05-12       Impact factor: 3.390

  4 in total

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