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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
Thompson, Bruce – 1993
The nature of percentile ranks scores is explored using concrete heuristic examples. It is explained why arithmetic operations require measurement on equal-interval scales, and that percentile ranks are not measured on equal-interval scales and therefore may not be added or averaged. The consequences of inappropriately adding percentile ranks are…
Descriptors: College Admission, College Entrance Examinations, Decision Making, Ethics
Austin, Neale W. – 1969
Emphasized in this speech are the innovative practices in the standardized foreign language testing programs sponsored by the College Entrance Examination Board (CEEB) and the Modern Language Association (MLA). The CEEB projected listening and reading "composite tests" and changes in the French and Latin Advanced Placement Tests are…
Descriptors: Achievement Tests, Advanced Placement, College Students, Educational Innovation