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There are two major theories of measurement in psychometrics: Classical Test Theory (CTT) and Item-Response Theory (IRT). Despite its widespread and long use, CTT has a number of shortcomings, which make it problematic to be used for practical and theoretical purposes. IRT tries to solve these shortcomings, and provide better and more dependable answers. One of the applications of IRT is the assessment of Differential Item Functioning (DIF). DIF tells the test developer whether the test item functions differently for different groups. Another important use of IRT is in the area of Computer…mehr

Produktbeschreibung
There are two major theories of measurement in psychometrics: Classical Test Theory (CTT) and Item-Response Theory (IRT). Despite its widespread and long use, CTT has a number of shortcomings, which make it problematic to be used for practical and theoretical purposes. IRT tries to solve these shortcomings, and provide better and more dependable answers. One of the applications of IRT is the assessment of Differential Item Functioning (DIF). DIF tells the test developer whether the test item functions differently for different groups. Another important use of IRT is in the area of Computer Adaptive Tests (CAT). CAT is based on IRT, and the stepping-stone in preparing a CAT is the preparation of an item bank. Item banking is based on IRT. When IRT is ignored, item banking will not be applicable and consequently there will be no CAT.
Autorenporträt
Dr. Sara Jalali is an assistant professor of TEFL at the Department of English Language and Literature in Urmia University in Urmia, Iran. Her research interests are mostly in the areas of testing and assessment in EFL. She has presented a number of articles in various national and international conferences.