Literature DB >> 18651601

Rationalising the 'irrational': a think aloud study of discrete choice experiment responses.

Mandy Ryan1, Verity Watson, Vikki Entwistle.   

Abstract

Stated preference methods assume respondents' preferences are consistent with utility theory, but many empirical studies report evidence of preferences that violate utility theory. This evidence is often derived from quantitative tests that occur naturally within, or are added to, stated preference tasks. In this study, we use qualitative methods to explore three axioms of utility theory: completeness, monotonicity, and continuity. We take a novel approach, adopting a 'think aloud' technique to identify violations of the axioms of utility theory and to consider how well the quantitative tests incorporated within a discrete choice experiment are able to detect these. Results indicate that quantitative tests classify respondents as being 'irrational' when qualitative statements would indicate they are 'rational'. In particular, 'non-monotonic' responses can often be explained by respondents inferring additional information beyond what is presented in the task, and individuals who appear to adopt non-compensatory decision-making strategies do so because they rate particular attributes very highly (they are not attempting to simplify the task). The results also provide evidence of 'cost-based responses': respondents assumed tests with higher costs would be of higher quality. The value of including in-depth qualitative validation techniques in the development of stated preference tasks is shown.

Mesh:

Year:  2009        PMID: 18651601     DOI: 10.1002/hec.1369

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  58 in total

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Journal:  Int J Clin Pharm       Date:  2016-06

2.  Choosing vs. allocating: discrete choice experiments and constant-sum paired comparisons for the elicitation of societal preferences.

Authors:  Chris D Skedgel; Allan J Wailoo; Ron L Akehurst
Journal:  Health Expect       Date:  2013-06-12       Impact factor: 3.377

3.  Development of a Discrete Choice Experiment (DCE) Questionnaire to Understand Veterans' Preferences for Tobacco Treatment in Primary Care.

Authors:  David A Katz; Kenda R Stewart; Monica Paez; Mark W Vander Weg; Kathleen M Grant; Christine Hamlin; Gary Gaeth
Journal:  Patient       Date:  2018-12       Impact factor: 3.883

Review 4.  Reconceptualising the external validity of discrete choice experiments.

Authors:  Emily Lancsar; Joffre Swait
Journal:  Pharmacoeconomics       Date:  2014-10       Impact factor: 4.981

5.  "I Was Trying to Do the Maths": Exploring the Impact of Risk Communication in Discrete Choice Experiments.

Authors:  Caroline Vass; Dan Rigby; Katherine Payne
Journal:  Patient       Date:  2019-02       Impact factor: 3.883

Review 6.  Opening the 'Black Box': An Overview of Methods to Investigate the Decision-Making Process in Choice-Based Surveys.

Authors:  Dan Rigby; Caroline Vass; Katherine Payne
Journal:  Patient       Date:  2020-02       Impact factor: 3.883

Review 7.  A Systematic Review Comparing the Acceptability, Validity and Concordance of Discrete Choice Experiments and Best-Worst Scaling for Eliciting Preferences in Healthcare.

Authors:  Jennifer A Whitty; Ana Sofia Oliveira Gonçalves
Journal:  Patient       Date:  2018-06       Impact factor: 3.883

8.  Preferences for a third-trimester ultrasound scan in a low-risk obstetric population: a discrete choice experiment.

Authors:  Fiona A Lynn; Grainne E Crealey; Fiona A Alderdice; James C McElnay
Journal:  Health Expect       Date:  2013-03-26       Impact factor: 3.377

9.  Preferences for colorectal cancer screening strategies: a discrete choice experiment.

Authors:  L Hol; E W de Bekker-Grob; L van Dam; B Donkers; E J Kuipers; J D F Habbema; E W Steyerberg; M E van Leerdam; M L Essink-Bot
Journal:  Br J Cancer       Date:  2010-03-02       Impact factor: 7.640

10.  How dead is dead? Qualitative findings from participants of combined traditional and lead-time time trade-off valuations.

Authors:  Fatima Al Sayah; Ana Mladenovic; Kathryn Gaebel; Feng Xie; Jeffrey A Johnson
Journal:  Qual Life Res       Date:  2015-07-28       Impact factor: 4.147

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