HAD5772H

A graduate-level, introductory statistics course

This course is designed to prepare students in the following areas: correlation; regression; analysis of variance (including factorial, repeated-measures, mixed-design, multivariate); analysis of covariance; regression; logistic regression and factor analysis. Note: Students are required to bring a laptop to each class (including session 1) with SPSS installed. This software is available from the University at a reduced rate for students. Please see: http://sites.utoronto.ca/ic/software/detail/spssStudent.html . Data sets will be provided. Students are expected to conduct analyses prior to each class. Enrollment is limited. Priority is given to IHPME students.

At the end of this course, students should be able to:

• Demonstrate an understanding (both conceptual and practical) of the analysis approaches covered in this course;
• Identify appropriate analysis approach(es) to address specific research questions;
• Identify appropriate analysis approach(es) to use with data that has already been collected;
• Use of the computer program SPSS for data management, statistical exploration and analysis, and understanding and explaining results;
• Present analysis results in APA format.