Investigating the Impact of Missing Data Handling Methods on the Detection of Differential Item Functioning
Autor: | Devrim Alıcı, Hüseyin Selvi |
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Rok vydání: | 2017 |
Předmět: |
Eğitim
Bilimsel Disiplinler likelihood ratio test Differential Item Functioning DIF Test and Item Bias Missing Values Imputation of Missing Data Mantel Haenszel Likelihood Ratio Test missing values imputation of missing data mantel haenszel Missing data Test theory Differential item functioning lcsh:Education (General) Cochran–Mantel–Haenszel statistics Classical test theory Differential Item Functioning DIF Test and Item Bias Missing Values Imputation of Missing Data Mantel Haenszel Likelihood Ratio Test Likelihood-ratio test Item response theory Statistics differential item functioning dif test and item bias lcsh:L lcsh:L7-991 Psychology Education Scientific Disciplines lcsh:Education Multiple choice |
Zdroj: | Volume: 5, Issue: 1 1-14 International Journal of Assessment Tools in Education International Journal of Assessment Tools in Education, Vol 5, Iss 1, Pp 1-14 (2018) International Journal of Assessment Tools in Education, Vol 5, Iss 1 (2017) |
ISSN: | 2148-7456 |
DOI: | 10.21449/ijate.330885 |
Popis: | In this study, it is aimed to investigate the impact of different missing data handling methods on the detection of Differential Item Functioning methods (Mantel Haenszel and Standardization methods based on Classical Test Theory and Likelihood Ratio Test method based on Item Response Theory). In this regard, on the data acquired from 1046 candidates who entered to Foreign National Student Exam (FNSE) held in year 2016 by Mersin University (MEU) and answered Basic Skills subtest, using different missing data handling methods, differential item functioning analyses with Mantel Haenszel, Standardization and Likelihood Ratio Test methods are performed. Basic Skills test consists of 80 multiple choice items. The items are all binary scored (1-0) items. Among the participants 523 are female and 523 are male. The findings showed that the number of items flagged as DIF has changed with the used missing data handling methods. The DIF detection methods based on Classical Test Theory are more consistent within themselves compared to DIF detection method based on Item Response Theory, whereas the used missing data handling methods differentiate the DIF detected items and this difference reaches a significant level for Mantel Haenszel method |
Databáze: | OpenAIRE |
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