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The purpose of this study is to investigate potential gender and socio-economic status bias in theWechler Intelligence Scale for Children: Fourth Edition (WISC-4) by using several differential item functioning detection techniques. In this study, WISC-4 Turkish standardization test pilot data including 817 children were used. In accordance with the purpose of the study, 315 items were used both in polytomously scored subtests such as Block Design, Similarities, Digit Span, Vocabulary, Letter-Number Sequencing, Comprehension, and dichotomously scored subtests such as Picture Concepts, Matrix Reasoning, Picture Completion, Information, Arithmetic, and Word Reasoning. While Rasch Model, Mantel-Haenszel, and SIBTEST DIF detection techniques were used for dichotomously scored items, Partila Credit Model, Mantel, and Poly-SIBTEST techniques were used for polytomously scored items. In terms of DIF techniques, Mantel-Haenszel, SIBTEST and Mantel Test, Poly-SIBTEST analyses provided similar results when DIF based on gender was investigated. In addition Mantel-Haenszel, Rasch estimations and Partial Credit Model, Mantel Test results were similar while investigating DIF according to socioeconomic status. |
