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Chen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
Williams, Matt N.; Gomez Grajales, Carlos Alberto; Kurkiewicz, Dason – Practical Assessment, Research & Evaluation, 2013
In 2002, an article entitled "Four assumptions of multiple regression that researchers should always test" by Osborne and Waters was published in "PARE." This article has gone on to be viewed more than 275,000 times (as of August 2013), and it is one of the first results displayed in a Google search for "regression…
Descriptors: Multiple Regression Analysis, Misconceptions, Reader Response, Predictor Variables
Roudabush, Glenn E. – 1975
The objective of this study was to show that standardized reading scores could be adequately estimated from scores on a criterion-referenced test in reading. This would reduce classroom test time, while, at the same time, provide the kinds of information teachers need to guide instruction, and the kinds of information administrators require for…
Descriptors: Achievement Tests, Correlation, Criterion Referenced Tests, Equated Scores
Campbell, Joel T.; And Others – 1970
This paper, a continuation of the analysis of data collected on 455 Negro and white medical technicians (see ED 035 018) as part of a study on fairness in selection testing, investigates the prediction of supervisors' ratings from aptitude tests. (AG)
Descriptors: Aptitude Tests, Blacks, Cross Cultural Studies, Culture Fair Tests