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Haberman, Shelby J. – ETS Research Report Series, 2020
Best linear prediction (BLP) and penalized best linear prediction (PBLP) are techniques for combining sources of information to produce task scores, section scores, and composite test scores. The report examines issues to consider in operational implementation of BLP and PBLP in testing programs administered by ETS [Educational Testing Service].
Descriptors: Prediction, Scores, Tests, Testing Programs
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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
Angelis, Paul J. – 1977
This paper discusses the relationship between language proficiency and intelligence. In particular, the paper is concerned with the elements of intelligence testing which creep into tests designed to determine language proficiency, and the proliferation of testing of all types and the kinds of interpretations made of these tests. Particular…
Descriptors: Adult Students, Aptitude Tests, English (Second Language), Higher Education
Breland, Hunter M.; Bridgeman, Brent; Fowles, Mary E. – College Entrance Examination Board, 1999
A comprehensive review was conducted of writing research literature and writing test program activities in a number of testing programs. The review was limited to writing assessments used for admission in higher education. Programs reviewed included ACT, Inc.'s ACTâ„¢ program, the California State Universities and Colleges (CSUC) testing program,…
Descriptors: Writing Research, Writing Tests, Writing (Composition), Writing Instruction