Date

11-13-2024

Department

School of Education

Degree

Doctor of Education in Educational Leadership (EdD)

Chair

Michael Shenkle

Keywords

Linear Regression Analysis, Archived Data, Archival Data, Homeless Students, High School Graduation, Oklahoma Homeless High School Students Graduation

Disciplines

Education

Abstract

The purpose of this predictive correlational study was to determine how accurately the percentage of students in Oklahoma high schools who graduate on-time be predicted by the percentage of those students who experienced homelessness during their four years of high school. The theoretical framework for this study came from Maslow’s Hierarchy of Needs, resiliency theory, and grit theory. A bivariate linear regression analysis was conducted to examine predictive relationships between the criterion variable, percentage of students who graduated from high school on-time of Oklahoma high school students, and the predictor variable, percentage of youth experiencing homelessness (YEH). Archival data from Oklahoma State Department of Education (OKSDE) public records was collected from the OKSDE website and through open records requests (ORRs). Data collected included graduation percentages for homeless and non-homeless students and enrollment data for homeless and non-homeless twelfth grade students originally from 66 public high schools in Oklahoma. The analysis revealed that there was not a statistically significant predictive relationship between students who experience homelessness and on-time high school graduation. Further research opportunities presented during this study to examine the theories of resiliency and grit, as each may contribute in some way to successful on-time high school graduation for these students.

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