May contain alternative delivery sections; refer to the Fees Payment Guide in the University Regulations and Information for Students section of the Calendar.
This course will focus on the analysis of data from experiments and surveys using the analysis of variance. Students will develop knowledge of and skills in understanding the underlying statistical models, matching statistical models to research designs, using computer software to conduct appropriate statistical analyses, and interpreting and reporting findings. Prerequisites: EDPY 500 or equivalent.
This course will introduce students to advanced statistical techniques that are frequently used in data analysis in the social sciences. Selected topics such as multiple regression, MANOVA, canonical correlation, principal component analysis, and factor analysis will be covered. Prerequisite: EDPY 505 or equivalent.