Analyzing the Interaction of Item Position Effect and Student Characteristics within Explanatory IRT Models

Author:

DEMİRKOL Sinem1,KELECİOĞLU Hülya2

Affiliation:

1. MEB

2. HACETTEPE UNIVERSITY

Abstract

The same item located in different positions among the booklets on the probability of correct answer is expressed as the item position effect. The purpose of this study is to examine the items that are more sensitive to the item position effect and to investigate the student characteristics related to the item position effect. In the study, the items in the PISA 2015 reading domain are used. The study group consists of 2418 students who responded to the items in the reading domain from PISA 2015 Turkey Sample. Explanatory IRT models are used in the analysis of the research. According to the results, 42% of the items are affected by the item position. The most important characteristic related to item position is the SES level of students. In addition, male students are more affected by item position than female students.

Publisher

Egitimde ve Psikolojide Olcme ve Degerlendirme Dergisi

Subject

Developmental and Educational Psychology,Education

Reference58 articles.

1. Albano, A. D. (2013). Multilevel modeling of item position effects. Journal of Educational Measurement, 50(4), 408–426. https://doi.org/10.1111/jedm.12026.

2. Alexandrowicz, R., & Matschinger, H. (2008). Estimating Item Location Effects by Means of a Generalized Logistic Regression Model. Psychology Science Quarterly, 50(1), 64-74. https://www.psychologie-aktuell.com/fileadmin/download/PschologyScience/1-2008/06_Alexandrowicz.pdf

3. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education [AERA, APA, & NCME]. (2014). Standards for educational and psychological testing. Washington, DC: American Psychological Association.

4. Angoff, W. H. (1971). Scales, norms and equivalent scores. In R. L. Thorndike (Ed.), Educational Measurement (2nd ed., pp. 508-600). Washington, DC; American Council on Education.

5. Atar, B. (2011). An application of descriptive and explanatory item response models to TIMSS 2007 Turkey mathematics data. Education and Science, 36(159), 256-259. http://egitimvebilim.ted.org.tr/index.php/EB/article/view/811.

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