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Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Accuracy
Alonzo, Julie; Anderson, Daniel – Behavioral Research and Teaching, 2018
In response to a request for additional analyses, in particular reporting confidence intervals around the results, we re-analyzed the data from prior studies. This supplementary report presents the results of the additional analyses addressing classification accuracy, reliability, and criterion-related validity evidence. For ease of reference, we…
Descriptors: Curriculum Based Assessment, Computation, Statistical Analysis, Classification
Lu, Ying; Yen, Wendy M. – ETS Research Report Series, 2014
This article explores the use of longitudinal regression as a tool for identifying scoring inaccuracies. Student progression patterns, as evaluated through longitudinal regressions, typically are more stable from year to year than are scale score distributions and statistics, which require representative samples to conduct credibility checks.…
Descriptors: Quality Control, Regression (Statistics), Scoring, Accuracy
Thacker, Arthur A.; Dickinson, Emily R.; Bynum, Bethany H.; Wen, Yao; Smith, Erin; Sinclair, Andrea L.; Deatz, Richard C.; Wise, Lauress L. – Partnership for Assessment of Readiness for College and Careers, 2015
The Partnership for Assessment of Readiness for College and Careers (PARCC) field tests during the spring of 2014 provided an opportunity to investigate the quality of the items, tasks, and associated stimuli. HumRRO conducted several research studies summarized in this report. Quality of test items is integral to the "Theory of Action"…
Descriptors: Achievement Tests, Test Items, Common Core State Standards, Difficulty Level
Topczewski, Anna; Cui, Zhongmin; Woodruff, David; Chen, Hanwei; Fang, Yu – ACT, Inc., 2013
This paper investigates four methods of linear equating under the common item nonequivalent groups design. Three of the methods are well known: Tucker, Angoff-Levine, and Congeneric-Levine. A fourth method is presented as a variant of the Congeneric-Levine method. Using simulation data generated from the three-parameter logistic IRT model we…
Descriptors: Comparative Analysis, Equated Scores, Methods, Simulation