Literature DB >> 10082145

Response-ordering effects: a methodological issue in conjoint analysis.

S Farrar1, M Ryan.   

Abstract

Conjoint analysis is a technique relatively new to the evaluation of health care services in the UK. The technique uses data generated from questionnaires. This paper addresses the issue of response-ordering effects that may result from the ordering of dimensions of benefit within a question. Two questionnaires were given to 216 hospital consultants as part of a priority setting exercise. These were identical other than the ordering of the dimensions within each question. The regression analysis was segmented according to questionnaire type and the coefficients of the segmentation were tested for statistically significant differences. The results show no evidence of ordering effects.

Mesh:

Year:  1999        PMID: 10082145     DOI: 10.1002/(sici)1099-1050(199902)8:1<75::aid-hec400>3.0.co;2-5

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


  8 in total

1.  Measuring preferences for health care interventions using conjoint analysis: an application to HIV testing.

Authors:  Kathryn A Phillips; Tara Maddala; F Reed Johnson
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

2.  Measuring what people value: a comparison of "attitude" and "preference" surveys.

Authors:  Kathryn A Phillips; F Reed Johnson; Tara Maddala
Journal:  Health Serv Res       Date:  2002-12       Impact factor: 3.402

3.  Validity and Reliability of Willingness-to-Pay Estimates: Evidence from Two Overlapping Discrete-Choice Experiments.

Authors:  Harry Telser; Karolin Becker; Peter Zweifel
Journal:  Patient       Date:  2008-12-01       Impact factor: 3.883

4.  Benefit-Risk or Risk-Benefit Trade-Offs? Another Look at Attribute Ordering Effects in a Pilot Choice Experiment.

Authors:  Sebastian Heidenreich; Andrea Phillips-Beyer; Bruno Flamion; Melissa Ross; Jaein Seo; Kevin Marsh
Journal:  Patient       Date:  2020-11-11       Impact factor: 3.883

5.  Learning and satisficing: an analysis of sequence effects in health valuation.

Authors:  Benjamin M Craig; Shannon K Runge; Kim Rand-Hendriksen; Juan Manuel Ramos-Goñi; Mark Oppe
Journal:  Value Health       Date:  2015-02-02       Impact factor: 5.725

6.  Conjoint analysis of a new Chemotherapy: willingness to pay and preference for the features of raltitrexed versus standard therapy in advanced Colorectal Cancer.

Authors:  Mike Aristides; Jack Chen; Mark Schulz; Eve Williamson; Stephen Clarke; Kaye Grant
Journal:  Pharmacoeconomics       Date:  2002       Impact factor: 4.981

7.  The relevance of personal characteristics in allocating health care resources-controversial preferences of laypersons with different educational backgrounds.

Authors:  Jeannette Winkelhage; Adele Diederich
Journal:  Int J Environ Res Public Health       Date:  2012-01-16       Impact factor: 3.390

8.  Using conjoint analysis to develop a system of scoring policymakers' use of research in policy and program development.

Authors:  Steve R Makkar; Anna Williamson; Tari Turner; Sally Redman; Jordan Louviere
Journal:  Health Res Policy Syst       Date:  2015-08-04
  8 in total

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