Exploring how individuals complete the choice tasks in a discrete choice experiment: an interview study
Jorien Veldwijk1,2,3, Domino Determann4,5, Mattijs S Lambooij4
1National Institute for Public Health and the Environment, Centre for Nutrition, Prevention and Health Services Research, PO Box 1 (internal postal code 101), 3720, BA, Bilthoven, The Netherlands. jorien.veldwijk@rivm.nl.
Most participants understood discrete choice experiments (DCEs), using complex strategies like the continuity axiom. However, additional support may be needed for those with lower educational or health literacy to ensure accurate DCE completion.
Area of Science:
- Health Economics
- Behavioral Science
- Decision Science
Background:
- Valid inferences from Discrete Choice Experiments (DCEs) require participants' active engagement and correct understanding.
- Assessing if participants understood information and employed complex decision strategies (continuity axiom) is crucial for DCE validity.
Purpose of the Study:
- To explore how participants evaluate and complete DCE tasks.
- To investigate participant understanding of DCE information and their use of complex decision strategies.
Main Methods:
- Structured interviews were conducted with 70 participants evaluating four DCE tasks aloud.
- Follow-up questions assessed understanding of information and application of the continuity axiom in decision-making.
- Rotavirus vaccination and prostate cancer screening DCEs served as case studies.
Main Results:
- Many participants could not recall exact risk attribute definitions.
- A majority preferred optimal risk attribute levels and mentioned at least three attributes (66%), aligning with the continuity axiom.
- Lower educated/literate participants mentioned fewer attributes and used attribute trading less frequently.
Conclusions:
- Most participants demonstrated understanding of DCE tasks, attributes, and levels, utilizing complex strategies.
- Participants are generally capable of completing DCEs adequately.
- Age, education, and health literacy necessitate tailored support to ensure comprehension and accurate DCE completion.
Related Concept Videos
Experimental Designs
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Decision Making: Traditional Method
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Randomized Experiments
Simple randomization
Simple...
Group Design
Cause and Effect


