Seminar for master's and doctoral level students in education and related fields. Focus on the organization, structure, function, and dynamics of institutions of higher education, and the corollary roles and responsibilities of leaders in academic and student affairs. Intended for those currently in or planning to enter into leadership roles in a college or university.

This course is a field-based internship for students enrolled in a variety of graduate programs including masters, education specialist, doctorate, and educational credential programs. Students can intern in educational settings including schools, school/districts, educational agencies, centers, and in a higher education. Supervision is provided by university faculty and a cooperating administrator or other appropriate official from the internship site.

This course introduces students to simple and multiple regression analysis, specifically as the methods are applied to research questions in educational research. Students learn about the linear regression model and its assumptions, how to use SPSS to fit the model to data, and how to interpret results. Students will also learn how to: evaluate the tenability of the model's assumptions; conduct thoughtful model building; model the effects of categorical predictors and statistical interactions; and handle multi-collinearity. The use of statistical techniques are modeled in class and then students apply these new techniques to datasets of educational relevance from a variety of sources, including educational surveys, observational studies, and randomized experiments. Students learn how to interpret the outcomes of their analyses thoughtfully and meaningfully and are asked to communicate these interpretations clearly and concisely in writing.

Study of a particular theoretical, methodological, or policy issue. May be offered off campus as professional development.