Data Envelopment Analysis: Measurement of Educational Efficiency in Texas Metadata

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Title

  • Main Title Data Envelopment Analysis: Measurement of Educational Efficiency in Texas

Creator

  • Author: Carter, Lacy
    Creator Type: Personal

Contributor

  • Chair: Byrd, Jimmy
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Henson, Robin
    Contributor Type: Personal
    Contributor Info: Minor Professor
  • Committee Member: Brooks, John
    Contributor Type: Personal
  • Committee Member: Fossey, Richard
    Contributor Type: Personal

Publisher

  • Name: University of North Texas
    Place of Publication: Denton, Texas
    Additional Info: www.unt.edu

Date

  • Creation: 2012-08

Language

  • English

Description

  • Content Description: The purpose of this study was to examine the efficiency of Texas public school districts through Data Envelopment Analysis. The Data Envelopment Analysis estimation method calculated and assigned efficiency scores to each of the 931 school districts considered in the study. The efficiency scores were utilized in two phases. First, the school district efficiency scores were combined with school district student achievement to evaluate effectiveness with efficiency. A framework was constructed to graph the scores on an x-axis of student achievement scores and a y-axis of efficiency scores to further illustrate the data. The framework was evaluated with the full statewide sample and with school districts categorized into similar peer groups. Then, using variables selected from related scholarly literature, a regression analysis identified which factors impacted school district efficiency statewide. The non-discretionary variables included in the study were total student enrollment, the percentage of non-white students and the percentage of economically disadvantaged students. The discretionary variables selected included the teacher-to-student ratio, teachers’ average years of experience, the percentage of teachers with master’s degrees and the average teacher base salary. Amongst the seven factors selected for regression analysis, five statistically significant variables were identified as impacting statewide school district efficiency. All three non-discretionary variables were identified as statistically significant on efficiency and included total student enrollment, the percentage of non-white students and the percentage of economically disadvantaged students. Two discretionary factors showed statistically significant effects on efficiency which included teachers’ average years of experience and the percentage of teachers with master’s degrees. The teacher-to-student ratio and the average teacher base salary were ineffective in predicting efficiency. This study contributed to the understanding on educational efficiency. Data Envelopment Analysis has been employed mainly in the private sector to analyze efficiency in economics and business organizations. This study added to the educational research on selecting Data Envelopment Analysis as a primary estimation method for analyzing the efficiency of school systems.

Subject

  • Keyword: Education
  • Keyword: efficiency
  • Keyword: education
  • Keyword: finance

Collection

  • Name: UNT Theses and Dissertations
    Code: UNTETD

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights Holder: Carter, Lacy
  • Rights License: copyright
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights Reserved.

Resource Type

  • Thesis or Dissertation

Format

  • Text

Identifier

  • Archival Resource Key: ark:/67531/metadc149569

Degree

  • Academic Department: Department of Teacher Education and Administration
  • Degree Discipline: Educational Administration
  • Degree Level: Doctoral
  • Degree Name: Doctor of Education
  • Degree Grantor: University of North Texas
  • Degree Publication Type: disse

Note