A study of the predictive validity of the Başkent University English proficiency exam through the use of the two-parameter IRT model's ability estimates

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2003
Yapar, Taner
The purpose of this study is to analyze the predictive power of the ability estimates obtained through the two-parameter IRT model on the English Proficiency Exam administered at Baskent University in September 2001 (BUSPE 2001). As prerequisite analyses the fit of one- and two-parameter models of IRT were investigated. The data used for this study were the test data of all students (727) who took BUSPE 2001 and the departmental English course grades of the passing students. At the first stage, whether the assumptions of IRT were met was investigated. Next, the observed and theoretical distribution of the test data was reviewed by using chi square statistics. After that, the invariance of ability estimates across different sets of items and invariance of item parameters across different groups of students were examined. At the second stage, the predictive validity of BUSPE 2001 and its subtests was analyzed by using both classical test scores and ability estimates of the better fitting IRT model. The findings revealed that the test met the assumptions of unidimensionality, local independence and nonspeededness, the assumptions of equal discrimination indices was not met. Whether the assumption of minimal guessing was met remained vague. The chi square statistics indicated that only the two parameter model fitted the test data. The ability estimates were found to be invariant across different item sets and the item parameters were found to be invariant across different groups of students. The IRT estimated predictive validity outweighed the predictive validity calculated through classical total scores both for the whole test and its subtests. The reading subtest was the best predictor of future performance in departmental English courses among all subtests.

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Citation Formats
T. Yapar, “A study of the predictive validity of the Başkent University English proficiency exam through the use of the two-parameter IRT model’s ability estimates,” M.S. - Master of Science, Middle East Technical University, 2003.