Examines how, as a team, school leaders analyze the relationship of the integration of technologies to teachers' beliefs & practices & to local school culture, structures, & policies. Students will evaluate factors critical for successful implementation of educational technology; identify & deconstruct the distributed leadership of educational technology in a school setting; & plan comprehensively for a system of practice to lead EdTech.

Leadership for Equity of Diverse Populations seeks to support special populations in schools. It proposes that effective leadership for all special student populations involves particular knowledge and requires a strong equity orientation.

Under close guidance of an individual faculty member, students work on areas of particular interest that cannot be met in regularly scheduled courses. Enrollment in this course is limited to three credits in a master's degree program.

The VEST proseminar is a set of activities designed around the speaker series. Students will read and critique academic articles, hear nationally renowned speakers present their recent work, and engage in conversation and dialogue with our visiting speakers. The primary goal of the proseminar is to improve your ability to critique research.

The primary goal of this course is to provide a structure to support you in planning and designing your Research-Practitioner Partnership Experience project. We will discuss how to find and contact a potential partner, how to begin a conversation about research with a partner, how to listen to the partner's needs, how to guide a discussion that focuses your project on a specific research question, and how to write the RPE proposal.

Focus is on the generalized linear model (GLM) for cases when variables have specific non-normal conditional distributions, with emphasis on common data analytic challenges that arise in real world settings. Topics include nonlinear relationships, nominal and ordinal outcomes, discrepant data, and bootstrapping methods. Course materials are grounded in applied examples from the social and health sciences.

An advanced methods course on quasi-experimental statistical techniques for generating unbiased effect estimates when random assignment is not feasible. Underlying theories, identifying assumptions, and applications are presented for techniques drawn from a variety of disciplines including economics, sociology, and psychology including regression discontinuity, instrumental variables, difference-in-difference, matching, and fixed effects.

This course is designed to familiarize students with the basics of multilevel modeling. Topics include random effects ANOVA models, means-as-outcomes models, random coefficients models, intercepts- and slopes-as-outcomes models, contextual models, random effects ANCOVA models, linear growth models, nonlinear growth models and cross-classified models. Prerequisite: EDLF 7420 or equivalent.

The major topics include exploratory/confirmatory factor analysis models, a variety of structural equation models, growth curve models, and multi-sample modeling analysis. The major focus of the course is both on the conceptual understanding of latent variable modeling and on practical application of these models in research and measurement. Students will work with data sets and computer programs to gain practical research experience.

Problems of practice through systematic inquiry are the focus of this course. We explore the intersection of theory and practice with emphasis on the design of thoughtful, ethical inquiry about educational problems of practice. There is a co-requisite (EDLF 5301: Academic Writing for Practitioners that is focused exclusively on academic writing to address problems of practice).