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Yuting Han; Zhehan Jiang; Lingling Xu; Fen Cai – AERA Online Paper Repository, 2024
To address the computational constraints of parameter estimation in the polytomous Cognitive Diagnosis Model (pCDM) in large-scale high data volume situations, this study proposes two two-stage polytomous attribute estimation methods: P_max and P_linear. The effects of the two-stage methods were studied via a Monte Carlo simulation study, and the…
Descriptors: Medical Education, Licensing Examinations (Professions), Measurement Techniques, Statistical Data
Wilkin, John P. – College & Research Libraries, 2017
The 1961 Copyright Office study on renewals, authored by Barbara Ringer, has cast an outsized influence on discussions of the U.S. 1923-1963 public domain. As more concrete data emerge from initiatives such as the large-scale determination process in the Copyright Review Management System (CRMS) project, questions are raised about the reliability…
Descriptors: Comparative Analysis, Copyrights, Misconceptions, Test Reliability
Kwiatkowska-White, Bozena; Kirby, John R.; Lee, Elizabeth A. – Journal of Psychoeducational Assessment, 2016
This longitudinal study of 78 Canadian English-speaking students examined the applicability of the stability, cumulative, and compensatory models in reading comprehension development. Archival government-mandated assessments of reading comprehension at Grades 3, 6, and 10, and the Canadian Test of Basic Skills measure of reading comprehension…
Descriptors: Longitudinal Studies, Reading Comprehension, Reading Achievement, Models
Gill, Brian; Shoji, Megan; Coen, Thomas; Place, Kate – Regional Educational Laboratory Mid-Atlantic, 2016
School districts and states across the Regional Educational Laboratory Mid-Atlantic Region and the country as a whole have been modifying their teacher evaluation systems to identify more effective and less effective teachers and provide better feedback to improve instructional practice. The new systems typically include components related to…
Descriptors: Predictive Validity, Test Bias, Test Content, School Districts