In this course students are introduced to the design and statistical principles of the experimental approach to educational research with particular emphasis on the appropriate analysis of data arising from designed experiments. A variety of experimental designs, their advantages and disadvantages, estimation of treatment effects, and significance testing are treated. Various types of analysis of variance are introduced from the general linear models framework. Both univariate and multivariate procedures of data analysis including ANOVA, ANCOVA and MANOVA are covered for within and between subjects’ analysis as well as factorial and nested designs. Assumptions underlying the appropriate use of each of the procedures and the interpretation of the results are also covered.