This course covers statistical and psychometric methods for improving the design and use of educational and psychological measurements. Students will learn classical and modern measurement techniques, including reliability, generalizability theory, validation, differential item functioning, item response theory, scaling, linking, standard setting, and adjustments for measurement error. Contexts of assessments include small-scale educational and psychological measures for targeted research studies as well as large-scale district, state, and national assessments for formative, summative, and evaluative purposes. In the first two thirds of the course, students will learn and apply methods in class and complete data analytic assignments. In the remainder of the course, students will read and critique recent research in educational measurement. Students will also develop and present a research proposal that has promise for advancing the field.
Prerequisite: S-052 or at least two semesters of applied statistics that includes estimation and interpretation of logistic regression coefficients. Experience with multilevel models is encouraged but not required. This course complements S-043 and S-090, and students may enroll in these courses in any order. Students who do not meet the prerequisite may enroll instead in S-011, which provides a nontechnical introduction to educational measurement.