Creating a Predictor Model for High School Non-Completers

Date of Award

Spring 2012

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Teaching & Learning

Program/Concentration

Curriculum and Instruction

Committee Director

Charlene Fleener

Committee Member

Stephen W. Tonelson

Committee Member

Karen L. Sanzo

Abstract

This study examined predictor variables to identify students at-risk for dropping out of high school in a southeastern school district in Virginia. This study involved 14,169 participants of ninth through twelfth grade students from the 2007-2008 school year in a selected urban school division. 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, and attendance were the most significant predictors of high school end status (dropout or graduate).

Rights

In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).

DOI

10.25777/8ayc-ty63

ISBN

9781267422026

This document is currently not available here.

Share

COinS