The doctoral program in measurement and quantitative methods is designed for persons who hope to develop and investigate methods of assessment and quantitative analysis, as well as for individuals who wish to become experts in the application and use of such methods. Graduates may teach courses in educational measurement, statistics, and program evaluation in colleges and universities and are often involved in research on problems of measurement and quantitative methods. Graduates also occupy leadership positions in educational, governmental, and other agencies concerned with educational measurement, statistics, and program evaluation. Students in the program learn to analyze research data and have opportunities to design and execute research studies and to consult on research design, data analysis, and evaluation. Students may develop and evaluate new statistical and psychometric models for use in educational research and behavioral science.
Admission
Applications for admission to the program are reviewed by faculty who look for indications of a high probability of success. Such indications include a high level of academic performance, a high score on the Graduate Record Examination General Test, and a statement of professional goals that is consistent with the objectives of the program. The applicant must submit three letters of recommendation, including at least one letter of recommendation from a professor or employer.
The applicant is required to submit supplemental documents and information as determined by the program, as well as the university application.
Persons are admitted to the program for fall semester only. The deadline for submitting applications is December 1 of each year for admission the following fall semester. If space is available, late applications may be considered.
In addition to meeting the requirements of the university and of the College of Education, students must meet the requirements specified below.
Requirements for the Doctor of Philosophy Degree in Measurement and Quantitative Methods
The student’s program plan of course work must fulfill the requirements described below. In addition to completing the required course work, students should participate in measurement and quantitative methods seminars and satisfy the College of Education breadth requirements which require basic knowledge in at least four of the following areas of general professional education: administration; curriculum; psychological foundations; research and evaluation methods; social, philosophical, and historical foundations; motor development and motor learning; biological foundations; ethical considerations; and issues of diversity in education.
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1. |
Core Courses. All of the following courses (27 to 29 credits): |
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CEP |
900 |
Proseminar in Educational Psychology and Educational Technology I |
3 |
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CEP |
921 |
Psychometric Theory I |
3 |
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CEP |
923 |
Item Response Theory |
3 |
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CEP |
930 |
Educational Inquiry |
3 |
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CEP |
932 |
Quantitative Methods in Educational Research I |
3 |
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CEP |
933 |
Quantitative Methods in Educational Research II |
3 |
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CEP |
934 |
Multivariate Data Analysis I |
4 |
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CEP |
935 |
Advanced Topics in Multivariate Data Analysis II |
4 |
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CEP |
995 |
Practicum in Research Design and Data Analysis |
1 to 3 |
2. |
Concentration Courses. |
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a. |
Measurement Majors: |
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The following course: |
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CEP |
922 |
Psychometric Theory II |
3 |
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b. |
Quantitative Majors: |
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Two of the following courses: |
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EC |
820A |
Econometrics IA |
3 |
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EC |
820B |
Econometrics IB |
3 |
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PPL |
802 |
Quantitative Methods in Public Policy II |
3 |
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PPL |
803 |
Quantitative Methods in Public Policy III |
3 |
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STT |
441 |
Probability and Statistics I: Probability |
3 |
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STT |
442 |
Probability and Statistics II: Statistics |
3 |
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STT |
861 |
Theory of Probability and Statistics I |
3 |
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STT |
862 |
Theory of Probability and Statistics II |
3 |
3. |
Cognate Courses: |
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a. |
Measurement Majors: |
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Three of the following courses: |
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CEP |
938 |
Latent Variable and Structural Equation Modeling |
3 |
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CEP |
982 |
Seminar in Counseling, Educational Psychology and Special Education |
3 |
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CEP |
991B |
Special Topics in Educational Statistics and Research Design |
4 |
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STT |
997 |
Advanced Topics in Statistics |
3 |
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b. |
Quantitative Majors: |
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Three of the following courses: |
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CEP |
938 |
Latent Variable and Structural Equation Modeling |
4 |
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CEP |
982 |
Seminar in Counseling, Educational Psychology and Special Education |
3 |
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CEP |
991B |
Special Topics in Educational Statistics and Research Design |
3 |
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EC |
821A |
Cross Section and Panel Data Econometrics I |
3 |
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EC |
821B |
Cross Section and Panel Data Econometrics II |
3 |
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STT |
802 |
Statistical Computation |
3 |
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STT |
825 |
Sample Surveys |
3 |
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STT |
997 |
Advanced Topics in Statistics |
3 |
4. |
Successful completion and defense of the dissertation. Students must complete 24 credits of CEP 999 Doctoral Dissertation Research but may not earn more than 30 credits. |
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