Building an Early Warning System to Identify Potential High School Dropouts

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Autor/in	Shealy, Linda C.
Titel	Building an Early Warning System to Identify Potential High School Dropouts
Quelle	(2011), (183 Seiten) PDF als Volltext Verfügbarkeit Ph.D. Dissertation, The University of Arizona
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
ISBN	978-1-1245-9894-9
Schlagwörter	Hochschulschrift; Dissertation; Dropouts; High School Students; High School Graduates; Identification; Predictor Variables; School Districts; Cohort Analysis; Replication (Evaluation); Grade 9; School Demography; Withdrawal (Education); Statistical Significance; Effect Size; Grade Point Average; English; Mathematics; Grades (Scholastic); Early Intervention; Student Mobility; Academic Records; Data Collection; Arizona + Suchen Sie Ihr Suchwort? Thesis; Dissertations; Academic thesis; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Graduate; Graduates; Absolvent; Absolventin; Identifikation; Identifizierung; Prädiktor; School district; Schulbezirk; Kohortenanalyse; School year 09; 9. Schuljahr; Schuljahr 09; Schulbesuchsrate; Kursabbruch; English language; Englisch; Mathematik; Notenspiegel; Mobility; Mobilität; College; Colleges; University; Universities; Publication; Hochschule; Fachhochschule; Universität; Akademieschrift; Publikation; Data capture; Datensammlung
Abstract	Over one million high school students drop out of school each year in this country. Dropping out of school is a serious problem for the student, community, and the nation. Often dropouts are unable to compete in an increasingly technological society and face numerous consequences from their decision to leave school early including higher levels of poverty, unemployment, public assistance, incarceration, and poor health. Dropping out is a gradual process of school disengagement and related to individual, family, and school factors. In the past, it has been difficult to track individual student's progress through school and to determine accurate dropout and graduation rates. In 2005, the National Governors Association made a commitment to implement a uniform method to calculate and report graduates and dropouts as well as better data collections systems. This study intended to replicate aspects of other major studies around the county to determine the best early predictors of dropping out of school in this large school district in southern Arizona and use this information to build an early warning system. Student data were obtained from the district's Research and Accountability office for a cohort of students (n = 6751) who began the ninth grade in fall 2006 and graduated or should have graduated in 2010. Data collected included general demographic information, academic data, number of schools attended, and school withdrawal codes. The intent of this research was to determine if there were statistically significant differences between dropouts and graduates in the variables collected and which variables yielded the highest effect sizes and should be included in the district's early warning system. Two analyses were used to determine significance differences between dropouts and graduates. Then four analyses were performed to determine the highest-yield variables for this district. Consistent with recent research in the field, the variables of ninth grade attendance, ninth grade English and Math grades, and GPA were the strongest predictors of student dropouts. Local educators can use this early warning information to help identify potential high school dropouts as early as possible and intervene more efficiently and effectively with these 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	2017/4/10