Principals Can Improve Student Achievement with Data Driven Decision Making

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dc.contributor.advisorMacNeil, Angus J.
dc.contributor.committeeMemberBusch, Steven D.
dc.contributor.committeeMemberEmerson, Michael W.
dc.contributor.committeeMemberStockton, Donald J.
dc.creatorMurrell, Mark 1967-
dc.date.accessioned2014-03-20T15:54:14Z
dc.date.available2014-03-20T15:54:14Z
dc.date.createdMay 2012
dc.date.issued2012-05
dc.date.updated2014-03-20T15:54:19Z
dc.description.abstractThis study focused on the strategic data that a principal uses to determine the timing of appropriate interventions for students that are at risk for completing a high school education. The study examined the sources of data that are available to a principal about their students. Grades, credits earned, achievement tests, days out of placement due to discipline, attendance, gender, and socio-economic status were all examined for their significance on predicting a potential non-completer. A logistical and discriminant regression analysis was conducted on the data available. Through the analysis, the data that had the greatest impact on the predication model were related to attendance, math and English credits earned, and ethnicity. Once the identification of the relevant data was determined, a model was developed to predict a potential non-completer.
dc.description.departmentEducational Leadership and Cultural Studies, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/591
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectEducation
dc.subjectData
dc.subjectData decision-making
dc.subjectEducational Achievement
dc.subjectStudent identification model
dc.subject.lcshLeadership
dc.titlePrincipals Can Improve Student Achievement with Data Driven Decision Making
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCollege of Education
thesis.degree.departmentEducational Leadership and Cultural Studies, Department of
thesis.degree.disciplineProfessional Leadership
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.majorLeadership
thesis.degree.nameDoctor of Education

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