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Pretesting Discrete-Choice Experiments: A Guide for Researchers

Author

Listed:
  • Nicola B. Campoamor

    (The Ohio State University College of Medicine)

  • Christi J. Guerrini

    (Baylor College of Medicine)

  • Whitney Bash Brooks

    (Baylor College of Medicine)

  • John F. P. Bridges

    (The Ohio State University College of Medicine)

  • Norah L. Crossnohere

    (The Ohio State University College of Medicine)

Abstract

Discrete-choice experiments (DCEs) are a frequently used method to explore the preferences of patients and other decision-makers in health. Pretesting is an essential stage in the design of a high-quality choice experiment and involves engaging with representatives of the target population to improve the readability, presentation, and structure of the preference instrument. The goal of pretesting in DCEs is to improve the validity, reliability, and relevance of the survey, while decreasing sources of bias, burden, and error associated with preference elicitation, data collection, and interpretation of the data. Despite its value to inform DCE design, pretesting lacks documented good practices or clearly reported applied examples. The purpose of this paper is: (1) to define pretesting and describe the pretesting process specifically in the context of a DCE, (2) to present a practical guide and pretesting interview discussion template for researchers looking to conduct a rigorous pretest of a DCE, and (3) to provide an illustrative example of how these resources were operationalized to inform the design of a complex DCE aimed at eliciting tradeoffs between personal privacy and societal benefit in the context of a police method known as investigative genetic genealogy (IGG).

Suggested Citation

  • Nicola B. Campoamor & Christi J. Guerrini & Whitney Bash Brooks & John F. P. Bridges & Norah L. Crossnohere, 2024. "Pretesting Discrete-Choice Experiments: A Guide for Researchers," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 17(2), pages 109-120, March.
    • Handle: RePEc:spr:patien:v:17:y:2024:i:2:d:10.1007_s40271-024-00672-z
    DOI: 10.1007/s40271-024-00672-z
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    References listed on IDEAS

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    1. Domino Determann & Dorte Gyrd-Hansen & G. Ardine de Wit & Esther W. de Bekker-Grob & Ewout W. Steyerberg & Mattijs S. Lambooij & Line Bjørnskov Pedersen, 2019. "Designing Unforced Choice Experiments to Inform Health Care Decision Making: Implications of Using Opt-Out, Neither, or Status Quo Alternatives in Discrete Choice Experiments," Medical Decision Making, , vol. 39(6), pages 681-692, August.
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    Cited by:

    1. Gong, Xiuyuan & Sun, Pengkai, 2025. "Can virtual streamers express emotions? Understanding the language style of virtual streamers in livestreaming e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).

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