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Methods for the Comparison of Differential Item Functioning across Assessments.
W Holmes Finch1, Maria Hernandez Finch, Brian F French
1Holmes Finch, Department of Educational Psychology, Ball State University, Muncie, IN 47306, USA, whfinch@bsu.edu.
Researchers can compare intelligence tests for fairness across subgroups using various statistical effect sizes. This helps identify scales with less differential test functioning (DTF) and understand how it manifests.
Area of Science:
- Psychometrics
- Educational Measurement
- Psychological Assessment
Background:
- Selecting reliable and valid scales is crucial for educational and psychological evaluations.
- Ensuring fairness across different population subgroups is a key aspect of scale validity.
- Differential item functioning (DIF) and differential test functioning (DTF) are statistical methods to assess scale fairness.
Purpose of the Study:
- To explore statistical methods for comparing the magnitude of DIF/DTF between two or more assessments.
- To aid researchers in selecting the most appropriate assessment, particularly in intelligence testing.
- To provide insights into how DTF manifests across different scales.
Main Methods:
- Utilized 7 different statistical effect size statistics.
- Applied these statistics in the context of intelligence testing.
- Compared the amount and manifestation of differential test functioning (DTF) across different scales.
Main Results:
- The study demonstrated the utility of various effect size statistics for comparing DTF.
- Researchers can identify scales with minimal DTF using these methods.
- Insights were gained into the specific ways DTF manifests within different intelligence scales.
Conclusions:
- Employing a variety of effect sizes offers a robust approach to evaluating scale fairness.
- These methods assist in the selection of psychometric instruments that function equitably across diverse populations.
- Understanding the nature of DTF is as important as quantifying its magnitude when choosing assessment tools.
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