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Application of Best Linear Prediction and Penalized Best Linear Prediction to ETS Tests BLP TOEFL TOEFL iBT GRE

Author(s):
Haberman, Shelby J.
Publication Year:
2020
Report Number:
RR-20-08
Source:
ETS Research Report
Document Type:
Report
Page Count:
25
Subject/Key Words:
True Scores, Accuracy, Test Scores, Composite Scores, Best Linear Prediction (BLP), Test of English as a Foreign Language (TOEFL), TOEFL iBT, Graduate Record Examination (GRE), General Test (GRE), Praxis, Error of Measurement, Regression (Statistics), Observed Scores, SpeechRater, e-rater, Human Scoring

Abstract

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.

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