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Autor/in | Logan, Lisa Ellis |
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Titel | Identifying Middle School Students at Risk for Dropping out of High School |
Quelle | (2010), (143 Seiten)
PDF als Volltext Ed.D. Dissertation, Liberty University |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
ISBN | 978-1-1243-4809-4 |
Schlagwörter | Hochschulschrift; Dissertation; High School Students; Dropout Research; Dropouts; Outcomes of Education; At Risk Students; Predictor Variables; Grade 9; Grade 8; Middle School Students; Correlation; Discipline; Referral; Socioeconomic Status; Grades (Scholastic); Mathematics Achievement; Grade Repetition; Georgia Thesis; Dissertations; Academic thesis; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; Lernleistung; Schulerfolg; Prädiktor; School year 09; 9. Schuljahr; Schuljahr 09; School year 08; 8. Schuljahr; Schuljahr 08; Middle school; Middle schools; Mittelschule; Mittelstufenschule; Korrelation; Disziplin; Socio-economic status; Sozioökonomischer Status; Notenspiegel; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Repeat a school year; Repeating; Sitzen bleiben; Sitzenbleiben |
Abstract | This study examined eighth grade predictor variables for predictive power in identifying students at-risk for dropping out of high school in a northwest Georgia school district. This study involved 340 participants from the 2005/2006 ninth grade class in the selected school district. This quantitative study employed correlation analyses to determine the linear relationship between dropping out of high school and the predictor variables. Logistic regression analysis determined which set of predictor variables best predicted the student outcome. The analysis indicated that years retained, discipline referrals, socioeconomic status, final math grade, CRCT math score, and absences were the most significant predictors of high school end status (dropout or graduate). A regression model using the six variables was able to correctly classify 91.5% of the cases. [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). |
Anmerkungen | ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |