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Related Experiment Videos

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

S Farrar1, M Ryan

  • 1Department of Public Health, University of Aberdeen, UK.

Health Economics
|March 19, 1999
PubMed
Summary
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Conjoint analysis, a healthcare evaluation tool, was tested for response ordering effects in UK priority setting. Results from 216 consultants showed no significant impact from question dimension order.

Area of Science:

  • Health Services Research
  • Health Economics
  • Decision Science

Background:

  • Conjoint analysis is increasingly used for healthcare service evaluation in the UK.
  • Questionnaire design, specifically response ordering effects, can influence study outcomes.
  • Understanding these effects is crucial for accurate priority setting in healthcare.

Purpose of the Study:

  • To investigate potential response-ordering effects in conjoint analysis questionnaires used for healthcare priority setting.
  • To determine if the order of benefit dimensions within a question impacts consultant responses.
  • To assess the validity of conjoint analysis in the UK healthcare context.

Main Methods:

  • Two identical questionnaires with varied dimension ordering were administered to 216 hospital consultants.

Related Experiment Videos

  • Regression analysis was employed, segmented by questionnaire type.
  • Coefficients were statistically tested for significant differences to identify ordering effects.

    • Main Results:

    • Analysis revealed no statistically significant differences in regression coefficients between the two questionnaire versions.
    • The study found no evidence to suggest that the ordering of dimensions within the conjoint analysis questions influenced consultant responses.
    • This indicates robustness against ordering effects in this specific application.

    Conclusions:

    • The ordering of dimensions within conjoint analysis questions does not appear to introduce significant response bias in this UK healthcare priority setting exercise.
    • Conjoint analysis remains a viable and reliable method for evaluating healthcare services and informing priority setting.
    • Further research could explore ordering effects in different healthcare settings or with varied respondent groups.