NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 2 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
Haberman, Shelby; Yao, Lili – Journal of Educational Measurement, 2015
Admission decisions frequently rely on multiple assessments. As a consequence, it is important to explore rational approaches to combine the information from different educational tests. For example, U.S. graduate schools usually receive both TOEFL iBT® scores and GRE® General scores of foreign applicants for admission; however, little guidance…
Descriptors: College Entrance Examinations, Repetition, Methods, Error of Measurement