This seminar will explore comparative methods and theoretical frameworks in international higher education research. Students will examine questions of access, quality, and accountability in tertiary education, student mobility within nations and internationally, and the process of internationalization and regional collaborations in higher education in the US and abroad.

This is a statistics-oriented course that focuses on various aspects of regression analysis (general and generalized linear models).

A study of schooling and education using basic analytic paradigms of sociology. Emphasis on schools as formal organizations and education in a changing, technologically oriented and stratified society.

Field research in an educational setting. Questions of theory, method, and application examined. Students plan and implement a study under faculty supervision. May be repeated to a maximum of six credits.

Field research in an educational setting. Questions of theory, method, and application examined. Students plan and implement a study under faculty supervision. May be repeated to a maximum of six credits.

This course is designed to introduce students to the organizational structure and administrative theories of higher education institutions. Colleges and universities are large and complex organizations that are affected by a variety of internal and external forces. This course will give students the opportunity to learn how alternative theoretical and critical frames can be used to view postsecondary education organization and administration.

Historical analysis of the politics, economics and philosophical implications of intercollegiate athletics programs as part of the American college and university.

Multivariate statistics will prepare students to understand multivariate statistical methods and draw the link between statistics previously learned. Students will be able to conduct, interpret, and critique procedures such as factorial ANOVA, multiple regression, MANOVA, ANCOVA, MANCOVA, PCA, EFA, discriminant function analysis, logistic, regression, canonical correlation, hierarchical linear regression, and multivariate analysis of change. Become familiar with statistical software for implementing multivariate procedures.

This course will provide students with an overview of the theory and applications of advanced psychometric methods. A psychometric method focuses on advanced psychometric methodologies used in methodologically- oriented studies in educational measurement and evaluation techniques. The goal of this course is to prepare students to analyze data using advanced psychometric methods. It covers topics in the areas of Rasch Modeling, Item Response Theory, Structural Equation Modeling, Advanced Survey Techniques, and Latent Variable Modeling (as well as additional techniques).

Residency credit for preparing and taking the qualifying examination. Students may register for one semester of this course in anticipation of completing the qualifying examination during the semester. The course is not repeatable and is not required.