Students will be introduced to foundational philosophies and strategies for qualitative data analysis, coding their own data sets in weekly workshop and discussion settings. Strategies will be presented for setting up and organizing a database, coding and sorting data into categories, modifying and refining the scheme, aggregating data into larger themes or patterns, establishing audit trails, triangulating among data sources, participants and methodologies, and establishing trustworthiness of the data set.

This doctoral seminar is designed to support in-depth exploration of critical approaches to discourse analysis as a basis for research on language and literacy in educational settings.

Overview of research in mathematics education, science education, and learning technologies. Synopses of MSLT faculty research agendas. Development of students? topics for research. (For first-year doctoral students.)

This course provides a conceptual, practical, and empirical foundation for SJE in college settings in four areas: advocacy and inclusion, diversity education, intergroup dialogue, and civic engagement.

Matrix algebra, nature of multivariate distributions, tests of hypothesis on mean vectors, regression analysis including multivariate regression models, correlation techniques, application to issues in educational research. Computers used extensively to analyze data taken from existing research studies. Prerequisite: Educ 656 or equivalent.

Supervised on-the-job CAGS school psychology experience. Work includes delivery of indirect and direct services in the areas of assessment, prevention, intervention, case management, and system level service delivery.

This course focuses on the integration of SJE as pedagogy and SJE as content to promote youth engagement and transformative education across learning environments. Its purpose is to help students develop a combination of historical, theoretical, conceptual, scientific, and pedagogical foundation for SJE in youth-based settings such as schools and community based organizations.

This course addresses the theory, roles, and functions of professional school psychology in relation to student learning in school settings.

Introduction to modern test theory, often called item response theory. Topics include shortcomings of classical models and methods, basic concepts and item response theory models, parameter estimation, goodness of fit procedures, and specific applications including test development, detection of biased test items, test score equating, large-scale assessment, score reporting, and computer-adaptive testing. Prerequisite: Educ 735.

The course will apprentice new doctoral students to the practices in which researchers interested in the intersection among the fields of language, literacy, and culture approach the scholarly activities of second language, bilingualism, world languages, reading, and writing research.