Abstract
I present an alternative to a widely used item-bias analysis procedure known as the ANOVA method. The new method is based on the Johnson-Neyman procedure, which is a multiple regression-based technique with properties that can overcome the major weaknesses of the ANOVA method. I introduce the proposed procedure in a non-technical manner, provide an illustrative example, and suggest guidelines for empirical analysis that can be readily applied in personality research.
Original language | English |
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Title of host publication | The Wiley Handbook of Personality Assessment |
Editors | Updesh Kumar |
Place of Publication | Hoboken |
Publisher | Wiley-Blackwell |
Pages | 346-360 |
Number of pages | 15 |
ISBN (Electronic) | 9781119173489 |
ISBN (Print) | 9781119173441 |
DOIs | |
Publication status | Published - 2016 Feb |
Externally published | Yes |
Subject classification (UKÄ)
- Applied Psychology
Free keywords
- item bias
- ANOVA
- differential item functioning
- Johnson-Neyman
- Item Response Theory (IRT)