Evaluating the Equality of Regression Coefficients for Multiple Group Comparisons: A Case of English Learner Subgroups by Home Languages

Autor/inn/en	Yoo, Hanwook; Wolf, Mikyung Kim; Ballard, Laura D.
Titel	Evaluating the Equality of Regression Coefficients for Multiple Group Comparisons: A Case of English Learner Subgroups by Home Languages
Quelle	In: Practical Assessment, Research & Evaluation, 28 (2023), Artikel 5 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Comparative Analysis; Native Language; English Language Learners; Multilingualism; Equal Education; Student Diversity; Student Needs; Educational Assessment; Multiple Regression Analysis; Factor Analysis; Sample Size; Correlation; Language Proficiency; English (Second Language); Academic Achievement; Classification; Spanish; Second Language Learning; Goodness of Fit; Predictor Variables; Evaluation Methods; Grade 5; Student Characteristics; Elementary School Students; Arabic; Gender Differences; Scores; Language Tests; Individualized Education Programs; Second Languages; Socioeconomic Status + Suchen Sie Ihr Suchwort? Mehrsprachigkeit; Multilingualismus; Education; assessment; Bewertungssystem; Faktorenanalyse; Korrelation; Language skill; Language skills; Sprachkompetenz; English as second language; English; Second Language; Englisch als Zweitsprache; Schulleistung; Classification system; Klassifikation; Klassifikationssystem; Spanisch; Zweitsprachenerwerb; Prädiktor; School year 05; 5. Schuljahr; Schuljahr 05; Arabisch; Geschlechterkonflikt; Language test; Sprachtest; Individualized education program; Individualisierendes Lernen; Second language; Zweitsprache; Socio-economic status; Sozioökonomischer Status
Abstract	As the theme of the 2022 annual meeting of the American Education Research Association, cultivating equitable education systems has gained renewed attention amid an increasingly diverse society. However, systemic inequalities persist for traditionally underserved student populations. As a way to better address diverse students' needs, it is of critical importance to understand different subgroups' performances. In the educational measurement field, evaluating the differences among multiple groups is an important consideration in addressing fairness issues for diverse groups of students. This article offers one technique to do so. It demonstrates how commonly-used multiple regression analysis can be applied to evaluate the equivalence of predictive structure across multiple groups in place of the factor analytic approach that requires a relatively large sample size per subgroup and strong assumptions. The technique is utilized in examining the relationship between English language proficiency and academic performance of English learners in one state when the subgroups are categorized by home language. The results showed statistically significant group differences between the reference group (Spanish-speaking ELs) and other focal groups (different home-language ELs) in various levels of comparisons (model fit, model structure, and individual predictor weights). The strengths and limitations of a proposed multiple group regression (MGR) approach are discussed in the educational research context. (As Provided).
Anmerkungen	Center for Educational Assessment. 813 North Pleasant Street, Amherst, MA 01002. e-mail: pare@umass.edu; Tel: 413-577-2180; Web site: https://scholarworks.umass.edu/pare
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01