Evaluation and Measurement - M.Ed. and Ph.D. Download to print

Our master’s degree program is a 32 credit-hour program that has been designed to develop educators and specialists in the areas of assessment, measurement, research design, and program evaluation. The program serves teachers and administrators seeking applied measurement, research, and evaluation skills for use in PK-12 and higher education, as well as professionals seeking careers in the areas of evaluation, research, and psychometrics.

The Ph.D. in Evaluation and Measurement seeks to develop professionals who have the theoretical knowledge base and application skills to teach courses at the college level in research design, statistics, measurement and evaluation; conceptualize, design and evaluate a wide variety of research methodologies; choose appropriate analyses for questions and designs that have been  proposed; communicate effectively with educators and other professionals in the development and application of research and psychometric materials; and evaluate programs culminating in written reports. Course offerings encompass the broad range of expertise required of those who will assume leadership roles in the conduct and teaching of research, measurement, statistics and evaluation.

Official transcript(s), goal statement and two letters of recommendation. In addition, for admission into the Ph.D. program, a minimum graduate GPA of 3.500 is recommended, along with required GRE scores (with a recommended score of 50th percentile or higher) and resume or vita.

For more information about graduate admission, please visit the Graduate Studies website.

M.Ed.: This degree requires a minimum of 32 semester hours of graduate coursework including at least 16 semester hours at the 60000 level or above. M.Ed. students have six years from the term of first enrollment to complete the degree.

Ph.D.: After admission to the Ph.D. degree program, students plan a program of study with their respective faculty advisory committee headed by their advisor.
 

Graduates of this program will be able to:

1. Demonstrate knowledge of descriptive and inferential statistics at a conceptual and application level.
2. Demonstrate knowledge of research design and methods by selecting and executing the appropriate research design and methods for a variety of applications.
3. Demonstrate knowledge of measurement, including the methods to develop valid and reliable measures of constructs.
4. Demonstrate knowledge of contemporary and classic theories in program evaluation, the purposes and logic of program evaluation, and the processes of different types of program evaluation.