The Ph.D. in School Administration (District Level Administration) coursework is shown below. Students who hold the Ed.S. degree prior to starting the program will generally only need to take an additional 6 hours of coursework either just before or just after the Residency experience. Students with a master’s degree should start in the Ed.S. program first, then move on to the Ph. D. program. Please contact the EDLR Department for additional information.
657 Human Relations in Education Administration—3 hours. Focuses upon the interrelationships of people and groups in the school setting. Attention is given to building and maintaining productive working groups, to awareness of ethnic minority groups and special purpose groups, and to the individuals functioning in the group process. EDLR 657 syllabus
708 Seminar in the Foundations of Modern Education—3 hours. Analysis of educational problems and issues in education using the disciplines of foundations of education.
755 Research Seminar in Educational Law—3 hours. Case law as it affects public, private, and higher education. Prerequisite: 655, its equivalent, or consent of instructor.
806 Seminar in Educational Thought—3 hours. Theory in education which uses relevant concepts from the social, behavioral, and humanistic disciplines. Emphasis is on the development of research potential in education utilizing theory as a frame of reference. May be repeated once.
850 Advanced Leadership Theory, Governance, and External Relations— 3 hours. Designed to develop and extend the student’s knowledge pertaining to the roles, policy development, planning, issues, and trends in education administration, governance, and external relations through examination of various related theories concerning individuals in organized settings.
859 Research Seminar in Educational Administration—3 hours. Required course for all doctoral students in educational administration. Attention will be given to research design and methodology. Each student will select a dissertation topic, prepare a dissertation proposal, and defend the proposal.
612 Statistical Methods—3 hours. A basic course in statistics. Topics include descriptive statistics, probability, selected sampling distributions, correlation and simple linear regression, and elementary hypothesis testing (e.g., t-tests, chi-square). Students learn to use computer software appropriately to analyze their data, and to interpret computer output.
712 Statistical Inference—3 hours. Hypothesis testing procedures including multiple correlation and regression and analysis of variance (e.g., one-way, factorial, repeated). Students learn to use computer software to analyze their data, and to interpret output.