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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
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Kissau, Scott; Algozzine, Bob – Foreign Language Annals, 2017
Studies investigating teacher candidate performance on traditional assessments of content knowledge place emphasis on just one of many skills needed to be an effective foreign language teacher; they also fail to explain why many teacher candidates with advanced oral proficiency struggle in the classroom and why some with less advanced language…
Descriptors: Second Language Learning, Second Language Instruction, Oral Language, Language Teachers