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Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
Attali, Yigal; Bridgeman, Brent; Trapani, Catherine – Journal of Technology, Learning, and Assessment, 2010
A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Test Scoring Machines
Quinlan, Thomas; Higgins, Derrick; Wolff, Susanne – Educational Testing Service, 2009
This report evaluates the construct coverage of the e-rater[R[ scoring engine. The matter of construct coverage depends on whether one defines writing skill, in terms of process or product. Originally, the e-rater engine consisted of a large set of components with a proven ability to predict human holistic scores. By organizing these capabilities…
Descriptors: Guides, Writing Skills, Factor Analysis, Writing Tests
Carlson, Sybil B.; Camp, Roberta – 1985
This paper reports on Educational Testing Service research studies investigating the parameters critical to reliability and validity in both the direct and indirect writing ability assessment of higher education applicants. The studies involved: (1) formulating an operational definition of writing competence; (2) designing and pretesting writing…
Descriptors: College Entrance Examinations, Computer Assisted Testing, English (Second Language), Essay Tests

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