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Download full textHixson, Nate; Rhudy, Vaughn – West Virginia Department of Education, 2013
Student responses to the West Virginia Educational Standards Test (WESTEST) 2 Online Writing Assessment are scored by a computer-scoring engine. The scoring method is not widely understood among educators, and there exists a misperception that it is not comparable to hand scoring. To address these issues, the West Virginia Department of Education…
Descriptors: Scoring Formulas, Scoring Rubrics, Interrater Reliability, Test Scoring Machines
Peer reviewedViswanadhan, K. G. – International Education Studies, 2008
National Board of Accreditation (NBA), a body constituted by the All India Council for Technical Education (AICTE) is responsible for the accreditation of Technical education programmes in India. NBA evaluates the performance of engineering programmes quantitatively by assessing 70 variables grouped under a set of 8 predefined criteria, and…
Descriptors: Foreign Countries, Undergraduate Study, Engineering Education, Accreditation (Institutions)
Borman, Walter C.; Rosse, Rodney L. – 1980
As an alternative for or adjunct to paper-and-pencil tests for predicting personnel performance, the United States Air Force studied the use of peer ratings as an evaluative tool. Purpose of this study was to evaluate the psychometric characteristics of peer ratings among Air Force basic trainees. Peer ratings were obtained from more than 27,000…
Descriptors: Military Personnel, Peer Evaluation, Personnel Evaluation, Personnel Selection
Bejar, Isaac I. – 1985
The Test of English as a Foreign Language (TOEFL) was used in this study, which attempted to develop a new methodology for assessing the speededness of right-scored tests. Traditional procedures of assessing speededness have assumed that the test is scored under formula-scoring instructions; this approach is not always appropriate. In this study,…
Descriptors: College Entrance Examinations, English (Second Language), Estimation (Mathematics), Evaluation Methods
Wise, David A. – 1976
Census data were used to predict average district scores on standardized achievement tests for grades one, two, three, six, and twelve, in 716 California school districts. The following census variables were used: education, income, college, poverty (families); poverty (children); professional occupations; housing; Spanish surnames; and Black.…
Descriptors: Academic Achievement, Achievement Tests, Community Characteristics, Cultural Influences
