Related Experiment Video
Updated: Feb 27, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
Published on: April 23, 2014
Examining gender-related differential item functioning of the Veterans Rand 12-item Health Survey
Jae Yung Kwon1, Richard Sawatzky2,3
1School of Nursing, University of British Columbia, Vancouver, BC, Canada. jaeyung.kwon@nursing.ubc.ca.
Purpose:
Previous research suggests that gender differences in patient-reported outcome measures (PROMs) may reflect measurement bias rather than true differences in underlying health status. The aim of this study is to examine whether the Veterans Rand 12-item Health Survey (VR-12) allows for unbiased comparisons of physical and mental health scores across gender. The VR-12 is a generic PROM consisting of 12 items with 3-6 response options for the measurement of mental and physical health.
Methods:
Study data were from the 2015 Health Outcomes Survey pertaining to the Medicare beneficiaries. A total of 277,518 participants included 116,817 (42.1%) males and 160,701 (57.9%) females. Scale-level and item-level differential functioning methods were applied using multiple-group confirmatory factor analysis and ordinal logistic regression, respectively.
Results:
The scale-level differential functioning showed support for strict invariance (RMSEA = 0.045; CFI = 0.995) across gender. Although we found statistically significant differential item functioning for several items, the magnitude was negligible (maximum ΔR 2 = 0.007).
Conclusion:
The VR-12 physical and mental health status scores are unbiased with respect to gender.
Related Concept Videos
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Assessment of the Gastrointestinal System II: Health Perception Pattern
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
Kruskal-Wallis Test
Surveys
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
One-Way ANOVA: Unequal Sample Sizes

