A multi-site psychometric evaluation of the Reading the Mind in the Eyes Test – Revised

The Reading the Mind in the Eyes Test, Revised (RMET-R) is a widely used measure that purports to assess theory of mind (ToM). However, the psychometric properties of the RMET-R have been called into question. To examine a wider array of the RMET-R's psychometric properties, as compared to prior studies, we recruited undergraduate students ( N = 640; 65.31 % women; M age = 20.33; SD = 4.30) from three public universities. Participants completed the RMET-R, a novel word choice familiarity task, a novel task rating each response option's description of the picture, along with emotional valence and arousal, and two self-report cognitive empathy measures. Results indicated a small positive correlation with one self-report measure of cognitive empathy, and acceptable internal consistency. Performance was related to prior familiarity of words used on the test, and a quarter of the trials had a foil word rated similarly as the target word in describing picture. Item-level analysis found that valence ratings correlated significantly with accuracy, even on the least accurate items. Results corroborate and expand published concerns about the RMET-R's psychometric properties. We propose changes to the measure, including updated stimuli and structural improvements. • Internal consistency was in marginally acceptable range. • Accuracy was correlated with one of two self-report cognitive empathy measures. • Accuracy was correlated with ratings of familiarity with words used in task. • Quarter of trials had foil word rated similarly as target in describing picture. • Valence ratings were associated with accuracy, even on the least accurate items.

Authors

Institutions

Publication Details

Journal
Personality and Individual Differences
Published
2025-11-11
DOI
https://doi.org/10.1016/j.paid.2025.113526
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multi-site psychometric evaluation of the Reading the Mind in the Eyes Test – Revised

Kenneth N. Levy, Erin B. Tone, Jeffrey S. Bedwell, Yogev Kivity et al.
Personality and Individual Differences
Face Recognition and Perception
article

A multi-site psychometric evaluation of the Reading the Mind in the Eyes Test – Revised

Kenneth N. Levy, Erin B. Tone, Jeffrey S. Bedwell, Yogev Kivity, Benjamin N. Johnson, Raoul Hafner
article en

Abstract

The Reading the Mind in the Eyes Test, Revised (RMET-R) is a widely used measure that purports to assess theory of mind (ToM). However, the psychometric properties of the RMET-R have been called into question. To examine a wider array of the RMET-R's psychometric properties, as compared to prior studies, we recruited undergraduate students ( N = 640; 65.31 % women; M age = 20.33; SD = 4.30) from three public universities. Participants completed the RMET-R, a novel word choice familiarity task, a novel task rating each response option's description of the picture, along with emotional valence and arousal, and two self-report cognitive empathy measures. Results indicated a small positive correlation with one self-report measure of cognitive empathy, and acceptable internal consistency. Performance was related to prior familiarity of words used on the test, and a quarter of the trials had a foil word rated similarly as the target word in describing picture. Item-level analysis found that valence ratings correlated significantly with accuracy, even on the least accurate items. Results corroborate and expand published concerns about the RMET-R's psychometric properties. We propose changes to the measure, including updated stimuli and structural improvements. • Internal consistency was in marginally acceptable range. • Accuracy was correlated with one of two self-report cognitive empathy measures. • Accuracy was correlated with ratings of familiarity with words used in task. • Quarter of trials had foil word rated similarly as target in describing picture. • Valence ratings were associated with accuracy, even on the least accurate items.

Personality and Individual DifferencesVol. 250
University of Central Florida (US), Pennsylvania State University (US), Bar-Ilan University (IL), Georgia State University (US), Fairleigh Dickinson University (US)
Openalex Percentile: Top 66%
Face Recognition and Perception
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.