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Download full textTomkowicz, Joanna; Kim, Dong-In; Wan, Ping – Online Submission, 2022
In this study we evaluated the stability of item parameters and student scores, using the pre-equated (pre-pandemic) parameters from Spring 2019 and post-equated (post-pandemic) parameters from Spring 2021 in two calibration and equating designs related to item parameter treatment: re-estimating all anchor parameters (Design 1) and holding the…
Descriptors: Equated Scores, Test Items, Evaluation Methods, Pandemics
Nathanson, Lori; Cole, Rachel; Kemple, James J.; Lent, Jessica; McCormick, Meghan; Segeritz, Micha – Online Submission, 2013
The New York City Department of Education's (DOE) annual survey of parents, students, and teachers is the largest of its kind in the United States. The DOE relies on the survey to identify schools' strengths and to target areas for improvement. School Survey scores, along with attendance, are also the only non-academic indicators used in the DOE's…
Descriptors: Validity, Urban Schools, Institutional Characteristics, School Surveys
Rizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission
