Application of Best Linear Prediction and Penalized Best Linear Prediction to ETS Tests. Research Report. ETS RR-20-08

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Tytuł:: Application of Best Linear Prediction and Penalized Best Linear Prediction to ETS Tests. Research Report. ETS RR-20-08
Autorzy:: Haberman, Shelby J.
Deskryptory:: 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
Język:: English
Źródło:: ETS Research Report Series. Dec 2020.
Dostępność:: Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: ; Web site: https://www.ets.org/research/policy_research_reports/ets
Recenzowane naukowo:: Y
Page Count:: 25
Data publikacji:: 2020
Typ dokumentu:: Journal Articles
Reports - Research
Education Level:: Higher Education
Postsecondary Education
Assessment and Survey Identifiers:: Test of English as a Foreign Language
Graduate Record Examinations
Praxis Series
ISSN:: 2330-8516
Abstractor:: As Provided
Data wpisu:: 2021
Numer akcesji:: EJ1284666
: Czasopismo naukowe

Full Text from ERIC

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].

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