Public Policy at the Munk School of Global Affairs and Public Policy | University of Toronto

Course Description

The goal of the course PPG2010H is to introduce students to statistical methods for the analysis of panel large-scale data. Topics include an introduction to panel data and panel design, statistical modeling of panel data including growth curve models, multilevel linear models and generalized linear mixed models.

At the completion of this course students will be able to:

• Conduct data management and manipulation procedures to prepare large-scale longitudinal data for statistical analyses
• Understand the structure of major RDC longitudinal datasets
• Formulate research problems and select appropriate statistical procedures to address them
• Utilize statistical software to perform longitudinal analyses on large-scale longitudinal datasets
• Interpret and communicate the results of statistical analyses
• Critically evaluate published research papers based on longitudinal data analysis techniques.

Term
Fall (2nd year)

Instructor
O. Falenchuk

Notes
1. Pre-requisite for enrollment: Security clearance with finger print to access Government data.
2. Given fingerprinting requirement of students for security clearance, enrollment in PPG2010H closes on Aug. 10 (i.e., 4 weeks prior to the first class).