Principles of experimental design as applied to educational situations. Special emphasis on analysis of variance techniques used in educational research. Prerequisite: ESRM64003 with a grade of C or better or an equivalent course with a grade of C or better. (Typically offered: Spring)
Multivariate statistical procedures as applied to educational research settings including discriminant analysis, principal components analysis, factor analysis, canonical correlation, and cluster analysis. Emphasis on use of existing computer statistical packages. Prerequisite: ESRM64103 and ESRM64203, both with a grade of C or better. (Typically offered: Spring)
Builds on the foundation provided in Multivariate and introduces techniques that extend methodological elements of canonical, discriminant, factor analytic, and longitudinal analyses, providing the mathematical and theoretical foundations necessary for these designs. Prerequisite: ESRM64503 with a grade of C or better. (Typically offered: Spring Even Years)