Performance differences with and without differential item functioning in the post graduate admission test in Saudi Arabia based on gender and ability level

This study aimed to investigate Differential Item Functioning (DIF) based on gender and ability level for Post-Graduate General Aptitude Test (PGAT) items in Saudi Arabia, using classical methods (MH <i>χ</i> <sup>2</sup>, MH-LOR, BD <i>χ</i> <sup>2</sup>, and CDR). The study samples consisted of (4,000) students distributed equally between males and females. For overall sample, 56 (54%) out of 104 items showed DIF: with (48%) of them favoring females and (41%) favoring males. For high ability sample, percentage of DIF items decreased across subtests, particularly for verbal sub-test. DIF items favoring females decreased (to 40%) and the ones favoring males increased (to 55%). ANOVA results showed that for overall sample, females outperformed males on total score and verbal ability, while males outperformed females on quantitative and logical abilities, significantly (<i>p</i> < 0.01). When DIF items were removed for overall sample, gender gap was reduced except for verbal ability, favoring females. For high ability sample, differences on total and sub-scores were not statistically significant except for quantitative ability, that favored males (<i>p</i> < 0.01). When DIF items were removed for high ability sample, gender differences were not statistically significant (<i>p</i> > 0.05). Thus, it was recommended to conduct stratified DIF analysis for ability admission tests based on ability area and level, gender and their interaction; and to report DIF size and direction for ability groups based on cut scores.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2025-10-20
DOI
https://doi.org/10.3389/fpsyg.2025.1515316
Citations
1
Primary Topic
Medical Education and Admissions
Type
article
Field-Weighted Citation Impact
1.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance differences with and without differential item functioning in the post graduate admission test in Saudi Arabia based on gender and ability level

Eqbal Darandari, Muna A. Almeri
1 citations
Frontiers in Psychology
Medical Education and Admissions
1.88
article

Performance differences with and without differential item functioning in the post graduate admission test in Saudi Arabia based on gender and ability level

Eqbal Darandari, Muna A. Almeri
article en
1 citations

Abstract

This study aimed to investigate Differential Item Functioning (DIF) based on gender and ability level for Post-Graduate General Aptitude Test (PGAT) items in Saudi Arabia, using classical methods (MH <i>χ</i> <sup>2</sup>, MH-LOR, BD <i>χ</i> <sup>2</sup>, and CDR). The study samples consisted of (4,000) students distributed equally between males and females. For overall sample, 56 (54%) out of 104 items showed DIF: with (48%) of them favoring females and (41%) favoring males. For high ability sample, percentage of DIF items decreased across subtests, particularly for verbal sub-test. DIF items favoring females decreased (to 40%) and the ones favoring males increased (to 55%). ANOVA results showed that for overall sample, females outperformed males on total score and verbal ability, while males outperformed females on quantitative and logical abilities, significantly (<i>p</i> < 0.01). When DIF items were removed for overall sample, gender gap was reduced except for verbal ability, favoring females. For high ability sample, differences on total and sub-scores were not statistically significant except for quantitative ability, that favored males (<i>p</i> < 0.01). When DIF items were removed for high ability sample, gender differences were not statistically significant (<i>p</i> > 0.05). Thus, it was recommended to conduct stratified DIF analysis for ability admission tests based on ability area and level, gender and their interaction; and to report DIF size and direction for ability groups based on cut scores.

Frontiers in PsychologyVol. 16
King Saud University (SA)
Openalex Percentile: Top 11%
Medical Education and Admissions
1.88
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.