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Investigating Gender DIF in the Reading Comprehension Section of the B2 First Exam

  • Chairil Anwar Korompot
  • , Iskandarsyah Siregar
  • , Nurislom Iskandarovich Khursanov
  • , Diyorjon Abdullaev
  • , Khaled M. Mohamed
  • State University of Makassar
  • Universitas Nasional
  • Renaissance University of Education
  • Urganch State Pedagogical Institute

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Construct-irrelevant variance is considered as a major threat to validity which indicates the existence of additional unrelated variables that distort the meaning of test scores and cause the test to be biased. Differential item functioning (DIF) analysis is an important technique in examining the validity and fairness of educational tests. Concerning the importance of test fairness in large-scale exams, this study aimed to (1) detect gender DIF in the reading comprehension section of the B2 First exam using the Rasch model and Mantel-Haenszel method, and (2) investigate the comparability of results from the two DIF detection techniques. To this end, the reading section of the B2 First exam was administered to 207 undergraduate students of English as a foreign language (EFL). After checking the fit of the data to the Rasch model, the results of the Rasch model-based DIF analysis showed the presence of two items indicating DIF, whereas the results of Mantel-Haenszel showed that there were three gender-DIF items.

Original languageEnglish
Pages (from-to)57-66
Number of pages10
JournalInternational Journal of Language Testing
Volume14
Issue number2
DOIs
StatePublished - Oct 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • B2 First Exam
  • DIF
  • Mantel-Haenszel
  • Rasch model
  • Reading comprehension

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