Preference inversion in discrete choice experiments: A novel test of the emoji scale

Preference inversion - where preference estimates do not align with the hierarchical order of attribute levels-remains a concern in health valuation studies. To address this, we developed a novel visual aid, the emoji scale, comprising five Apple Unicode emoji characters to represent five levels of a health-related quality-of-life measure. Using a case study of the Recovering Quality of Life - Utility index instrument, we explored whether the emoji scale could reduce preference inversion and improve respondent experience in discrete choice experiments (DCEs). We conducted a between-respondent comparison involving 2024 Australian adults, randomly allocated to one of four arms:(1) standard text-only choice tasks, (2) emoji & text (combined), (3) emoji-only (no text), and (4) text with purple colour-coding. We estimated value sets derived from each format and assessed differences in perceived task difficulty, engagement, and preference inversion using t-tests and model comparisons. Results showed that utility decrements from the emoji & text were closely aligned with those from the standard text-only format. Importantly, the emoji & text reduced preference inversion and was associated with lower reported task difficulty and higher engagement compared to other formats. These findings suggest that pairing emojis with text may enhance respondent understanding and data quality in health valuation tasks, without compromising the validity of the resulting value sets. While further work is necessary to fully understand the legitimacy of the emoji scale as an effective visual aid for conveying attribute level ordering, the emoji & text format offers a promising approach to improving DCEs.

Authors

Institutions

Publication Details

Journal
Social Science & Medicine
Published
2025-10-11
DOI
https://doi.org/10.1016/j.socscimed.2025.118661
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preference inversion in discrete choice experiments: A novel test of the emoji scale

Cathrine Mihalopoulos, Jemimah Ride, Lidia Engel, Thao Thai et al.
Social Science & Medicine
Digital Communication and Language
article

Preference inversion in discrete choice experiments: A novel test of the emoji scale

Cathrine Mihalopoulos, Jemimah Ride, Lidia Engel, Thao Thai, Brendan James Mulhern, Richard Norman
article en

Abstract

Preference inversion - where preference estimates do not align with the hierarchical order of attribute levels-remains a concern in health valuation studies. To address this, we developed a novel visual aid, the emoji scale, comprising five Apple Unicode emoji characters to represent five levels of a health-related quality-of-life measure. Using a case study of the Recovering Quality of Life - Utility index instrument, we explored whether the emoji scale could reduce preference inversion and improve respondent experience in discrete choice experiments (DCEs). We conducted a between-respondent comparison involving 2024 Australian adults, randomly allocated to one of four arms:(1) standard text-only choice tasks, (2) emoji & text (combined), (3) emoji-only (no text), and (4) text with purple colour-coding. We estimated value sets derived from each format and assessed differences in perceived task difficulty, engagement, and preference inversion using t-tests and model comparisons. Results showed that utility decrements from the emoji & text were closely aligned with those from the standard text-only format. Importantly, the emoji & text reduced preference inversion and was associated with lower reported task difficulty and higher engagement compared to other formats. These findings suggest that pairing emojis with text may enhance respondent understanding and data quality in health valuation tasks, without compromising the validity of the resulting value sets. While further work is necessary to fully understand the legitimacy of the emoji scale as an effective visual aid for conveying attribute level ordering, the emoji & text format offers a promising approach to improving DCEs.

Social Science & MedicineVol. 386
University of Technology Sydney (AU), Curtin University (AU), Monash Health (AU), Monash University (AU)
Openalex Percentile: Top 71%
Digital Communication and Language
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.