Measurement Invariance of the HEXACO-100 Across Gender Groups: A Three-Sample Study.
1Pusan National University, Busan, Republic of Korea.
Assessment
|July 26, 2024
Summary
This study investigated gender differences in the HEXACO-100 personality test. While some measurement invariance was found, observed gender differences in Emotionality scores may overestimate true differences due to scale non-invariance.
Area of Science:
- Psychological Measurement
- Personality Psychology
- Gender Studies
Background:
- Understanding psychological gender differences requires validated personality measures.
- Measurement invariance (MI) is crucial for cross-group comparisons, ensuring scales function similarly across genders.
- The HEXACO-100 is a widely used personality inventory, but its gender-based MI requires thorough examination.
Purpose of the Study:
- To examine gender-based measurement invariance (MI) of the HEXACO-100 personality inventory.
- To assess MI across diverse samples (students, working adults) and testing contexts (research, high-stakes selection).
- To determine if observed gender differences in personality are influenced by measurement artifacts.
Main Methods:
- Exploratory structural equation modeling (ESEM) was employed.
- Three distinct samples were analyzed, varying in age and testing context.
- Configural, metric, and scalar invariance were systematically tested for gender across studies.
Main Results:
- Configural and metric invariance were consistently supported across all three studies.
- Scalar invariance was not supported, indicating potential differences in item functioning.
- Small effect sizes for non-invariance were observed, except for the Emotionality scale where females scored higher due to MI.
Conclusions:
- While the HEXACO-100 shows good configural and metric invariance across genders, scalar invariance is lacking.
- Measurement non-invariance, particularly in the Emotionality scale, can inflate observed mean gender differences.
- Findings highlight the importance of assessing MI to accurately interpret psychological gender differences.
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