Effect of Item Parameter Drift in Mixed Format Common Items on Test Equating

Authors : İbrahim UYSAL, Merve ŞAHİN KÜRŞAD, Abdullah Faruk KILIÇ

Pages : 143-160

Doi:10.17275/per.22.108.9.5

View : 19 | Download : 9

Publication Date : 2022-09-01

Article Type : Research Paper

Abstract :The aim of the study was to examine the common items in the mixed format insert ignore into journalissuearticles values(e.g., multiple-choices and essay items); contain parameter drifts in the test equating processes performed with the common item non-equivalent groups design. In this study, which was carried out using Monte Carlo simulation with a fully crossed design, the factors of test length insert ignore into journalissuearticles values(30 and 50);, sample size insert ignore into journalissuearticles values(1000 and 3000);, common item ratio insert ignore into journalissuearticles values(30 and 40%);, ratio of items with item parameter drift insert ignore into journalissuearticles values(IPD); in common items insert ignore into journalissuearticles values(20 and 30%);, location of common items in tests insert ignore into journalissuearticles values(at the beginning, randomly distributed, and at the end); and IPD size in multiple-choice items insert ignore into journalissuearticles values(low [0.2] and high [1.0]); were studied. Four test forms were created, and two test forms do not contain parameter drifts. After the parameter drift was performed on the first of the other two test forms, the parameter drift was again performed on the second test form. Test equating results were compared using the root mean squared error insert ignore into journalissuearticles values(RMSE); value. As a result of the research, ratio of items with IPD in common items, IPD size in multiple-choice items, common item ratio, sample size and test length on equating errors were found to be significant.
Keywords : mixed format tests, item parameter drift, test equating, mixed format common test, Monte Carlo simulation