• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni

de Ruijter, A., van Exel, J. and Mouter, N. (2026). “It should be relevant, reliable and feasible”: Introducing FACE, an instrument for assessing the face validity of choice experiments Journal of Choice Modelling, 59.


  • Journal
    Journal of Choice Modelling

Face validity indicates to what extent participants are engaged in making choices; and understand and interpret the presented information as intended by its designer. It is an important but often overlooked aspect of the overall validity of choice experiments and no comprehensive instruments for assessing it are available. Improving its design potentially improves the quality of participants{\textquoteright} responses and the study itself, which increases the relevance and usability for policy and practice. In this study we developed and tested an instrument to assess the FAce validity of Choice Experiments (FACE) in a uniform, systematic manner. The instrument is based on 9 components identified in the literature: clarity, completeness, decision certainty, familiarity, feasibility, legibility, relevance, sensitivity, and transparency. FACE covers these components in 13 statements with 5-point Likert scales. 1 020 participants completed the instrument following a discrete choice experiment on COVID-19 pandemic preparedness measures in the Netherlands. This first application of FACE showed that the face validity of a choice experiment was determined by whether participants considered its study design to be relevant, reliable and feasible. Moreover, we found that relevance and reliability were most strongly related to characteristics of the survey design, while feasibility was most strongly related to participants{\textquoteright} socio-demographic characteristics. Face validity was rated high(er) by participants who were younger, male, lower educated, vaccinated against COVID-19 and sufficiently engaged in the experiment. FACE should be regarded as a first-version instrument that can be refined and further validated. We provide recommendations on how to improve FACE in future research.