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Economics Of Higher Edu

This course addresses issues of equity and efficiency by analyzing 1) how students, faculty and institutions are influenced by markets and incentives, 2) the economic impact of higher education on students and society, and 3) the financial management of institutions.

Intro Meas Theory & Technqs

This is a measurement-oriented course that focuses on introducing measurement theory and techniques used in education and evaluation. Topics to be covered include, but are not limited to, measurement models, bivariate measures of association, norms, standardized score scales, scaling, reliability, validity, item analysis, factor analysis, confirmatory factor analysis, test construction for affective and cognitive instruments, Item Response Theory, and Rasch.

Higher Education And The Law

This course will examine legal principles relevant to postsecondary institutions. An emphasis will be on legal cases, statues, and principles within the context of higher education, both private and public. Topics include: legal governance, academic freedom, faculty and student rights, affirmative action, as well as other relevant issues.

Hlm Multilevel Modeling

This course will provide students with an overview of the theory and applications of advanced quantitative methods. A quantitative research method focuses on advanced quantitative methodologies used in methodologically-oriented studies in educational research, evaluation, and statistics. The goal of this course is to prepare students to analyze data using advanced quantitative methods. It covers topics in the areas of multilevel modeling, data mining, missing data, categorical data analysis, meta-analysis, and longitudinal data analysis.

Art Advanced Regression Techniques

This course will provide students with an overview of the theory and applications of advanced quantitative methods. A quantitative research method focuses on advanced quantitative methodologies used in methodologically-oriented studies in educational research, evaluation, and statistics. The goal of this course is to prepare students to analyze data using advanced quantitative methods. It covers topics in the areas of multilevel modeling, data mining, missing data, categorical data analysis, meta-analysis, and longitudinal data analysis.

Prof. Practice Sr. Diversity Leadership

In this course students will apply their knowledge of current policy and practice in diversity in higher education through problem-based learning and critical reading of the literature in the field. Students will develop a portfolio of strategies for working with all aspects of campus administration from student and academic services to development, human resources, and facilities based on the National Association of Diversity Officers in Higher Education current "Standards of Professional Practice for Chief Diversity Officers in Higher Education".

Dissertation Residency Credit

Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.

Dissertation Residency Credit

Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.

Dissertation Residency Credit

Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.

Dissertation Residency Credit

Residency credit for dissertation research after the qualifying examination. Students may register for this course in the semester of the qualifying examination. A minimum of two semesters are required as well as continuous enrollment (Fall and Spring) until the dissertation is completed and defended.

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