An introductory course in statistics with major emphasis on univariate measures for analyzing educational data.

Methods of educational research; methods of obtaining, processing, interpreting, and using significant educational data.

An examination of the philosophy and practice of assessment and evaluation in higher education with particular emphasis on assessment of programs/services and/or students.

Prerequisite: EPSY 5380 or STAT 5302. Topics include multiple regression, analysis of variance and covariance, multiple comparison tests, and additional non-parametric tests.

Study in theoretical perspectives informing qualitative research in education including relevant issues and methodological criteria.

Independent research under faculty guidance.

The design and implementation of survey methodology in educational settings. Coverage of sampling techniques. Questionnaire design, analysis of data, and strategies for dissemination of findings to specific audiences.

Study in design methods, issues, and applications of case study research in education.

Prerequisites: Previous coursework in research design, statistics, and qualitative research. An introduction to the foundations of mixed methods research and its application across disciplines.

Hands-on analysis of quantitative educational data using statistical software.

Prerequisite: EPSY 5381 or consent of instructor. Study of multivariate techniques for analyzing educational data, including such topics as factor analysis and structural equation modeling.

In-depth study of conducting assessment and evaluation for instructional systems. Focuses on types of principles, procedures, and models for assessing and evaluating instructional products and systems.