Predicting Time to Reclassification for English Learners: A Joint Modeling Approach

Autor/inn/en	Matta, Tyler H.; Soland, James
Titel	Predicting Time to Reclassification for English Learners: A Joint Modeling Approach
Quelle	In: Journal of Educational and Behavioral Statistics, 44 (2019) 1, S.78-102 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998618791259
Schlagwörter	English Language Learners; Language Proficiency; Classification; Language Fluency; Time; Prediction; English (Second Language); Second Language Learning; Grade 3; Grade 4; Grade 5; Grade 6; Grade 7; English Only Movement; Elementary School Students; Middle School Students; Arizona + Suchen Sie Ihr Suchwort? Language skill; Language skills; Sprachkompetenz; Classification system; Klassifikation; Klassifikationssystem; Zeit; Vorhersage; English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; School year 03; 3. Schuljahr; Schuljahr 03; School year 04; 4. Schuljahr; Schuljahr 04; School year 05; 5. Schuljahr; Schuljahr 05; School year 06; 6. Schuljahr; Schuljahr 06; School year 07; 7. Schuljahr; Schuljahr 07; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin
Abstract	The development of academic English proficiency and the time it takes to reclassify to fluent English proficient status are key issues in English learner (EL) policy. This article develops a shared random effects model (SREM) to estimate English proficiency development and time to reclassification simultaneously, treating student-specific random effects as latent covariates in the time to reclassification model. Using data from a large Arizona school district, the SREM resulted in predictions of time to reclassification that were 93% accurate compared to 85% accuracy from a conventional discrete-time hazard model used in prior literature. The findings suggest that information about English-language development is critical for accurately predicting the grade an EL will reclassify. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01