Reading Achievement of Third-Grade English Learners and Low-Socioeconomic Students in Title I and Non-Title I Schools

Autor/in	Sáenz, Claudia V.
Titel	Reading Achievement of Third-Grade English Learners and Low-Socioeconomic Students in Title I and Non-Title I Schools
Quelle	(2022), (136 Seiten) PDF als Volltext Verfügbarkeit Ed.D. Dissertation, Texas A&M University - Commerce
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	979-8-4387-5499-2
Schlagwörter	Hochschulschrift; Dissertation; Reading Achievement; Grade 3; English (Second Language); Second Language Learning; Low Income Students; Socioeconomic Status; Educational Legislation; Elementary Secondary Education; Federal Legislation; Standardized Tests; State Policy; Reading Tests; Scores; Predictor Variables; Texas + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Leseleistung; School year 03; 3. Schuljahr; Schuljahr 03; English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; Socio-economic status; Sozioökonomischer Status; Bildungsrecht; Schulgesetz; Bundesrecht; Standadised tests; Standardisierter Test; Lesetest; Prädiktor
Abstract	The purpose of this quantitative study was to determine whether school type (Title I versus non-Title I), English learner (EL) student percentage, and low-socioeconomic status (low-SES) student percentage could statistically predict the percentage of third-grade students who perform at the Meets Grade Level (MGL) performance on the State of Texas Assessments of Academic Readiness (STAAR) Reading exam in the 2018-2019 school year on the campus level. This quantitative study used a multiple linear regression model to examine the predictive relationship between these variables. Multiple linear regression was used to determine whether these three predictor variables had a statistically significant predictive relationship with the third-grade STAAR Reading MGL percentage of the campus. Additionally, correlation tests were another statistical method used. The correlations were used to measure the strength of the linear relationship between each of the independent variables and the dependent variable. The data used in this study were derived from a requested Texas Education Agency (TEA) report and the TEA public website. The sample size was calculated through statistical power analysis using G*Power analysis and other recommendations. Campuses were identified using stratified sampling and the findings from this study provide a better understanding as to whether school type, EL percentage, and low-SES percentage in third grade can predict the student MGL performance on the STAAR Reading exam of third-grade students on a campus. The results of this study may start a conversation about the possibility of socioeconomic and EL integration in Texas public schools. Socioeconomic and EL integration refers to low-SES students and ELs being combined with non-ELs and higher SES students in a higher-average SES school. Another implication of this study suggests that the use of culturally responsive teaching is a pedagogy that academically supports ELs and low-SES students, as well as other minorities and students of color. Further, the findings illuminate how the leadership role of the administrator can help them improve student achievement. Stakeholders can utilize these findings and implications for immediate insight and decision-making to support an equitable education for EL and low-SES students. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.] (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01