Peer reviewed
Download full textERIC Number: EJ1284666
Record Type: Journal
Publication Date: 2020-Dec
Pages: 25
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2330-8516
EISSN: N/A
Application of Best Linear Prediction and Penalized Best Linear Prediction to ETS Tests. Research Report. ETS RR-20-08
Haberman, Shelby J.
ETS Research Report Series, Dec 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, Task Analysis, Accuracy, Error of Measurement, Measurement Techniques, Scoring, English (Second Language), Second Language Learning, Language Tests, College Entrance Examinations, Graduate Study, Inferences, Mathematical Models
Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Test of English as a Foreign Language; Graduate Record Examinations; Praxis Series
Grant or Contract Numbers: N/A
