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Potter, Andrew; Wilson, Joshua – Educational Technology Research and Development, 2021
Automated Writing Evaluation (AWE) provides automatic writing feedback and scoring to support student writing and revising. The purpose of the present study was to analyze a statewide implementation of an AWE software (n = 114,582) in grades 4-11. The goals of the study were to evaluate: (1) to what extent AWE features were used; (2) if equity and…
Descriptors: Computer Assisted Testing, Writing Evaluation, Feedback (Response), Scoring
Baghi, Heibatollah – 1990
The Maryland Functional Testing Program (MFTP) uses the Rasch model as the statistical framework for the analysis of test items and scores. This paper is designed to assist the reader in developing an understanding of the fit statistics in the Rasch model. Background materials on application of the Rasch model in statistical analysis of the MFTP…
Descriptors: Computer Assisted Testing, Computer Software, Equated Scores, Error of Measurement
Marsh, Larry P.; Anderson, Paul S. – 1989
This manual is intended to provide Illinois school districts with guidance in developing learning assessment plans and using testing materials as part of the school improvement program mandated by the 1985 educational reform legislation for Illinois. Designed primarily to be a series of "how to" booklets, the manual is divided into six…
Descriptors: Computer Assisted Testing, Computer Software, Computer System Design, Educational Improvement
Dabney, Marian E.; Stewart, Theadora – 1990
This study investigated the construct validity of the revised Special Education-Mental Handicaps Georgia Teacher Certification Test (MH-TCT) using hierarchical confirmatory factor analysis and LISREL VI. The primary objective was to determine whether first-order and second-order factors correspond to item/objective/test relationships defined by…
Descriptors: Computer Assisted Testing, Computer Software, Construct Validity, Content Validity