This course will introduce participants to the nature and types of systematic reviews that can be used to address specific research questions, as well as to meta-analysis, the analytical procedure used to summarize the effects extracted from systematic reviews. By the end of the workshop participants will understand the role of systematic reviews and meta-analyses, the steps of conducting a systematic review, and the methods used to organize and combine the results of studies from systematic reviews. All aspects of the course will include hands-on experience using open-source software.
Instructors:
Nataly Beribisky, MA. Nataly is a PhD student in the Quantitative Methods program within the Department of Psychology at York University. She has been a member of the Statistical Consulting Service at York University for four years. Her research interests center around power analysis, effect sizes, structural equation modeling and equivalence testing.
Rob Cribbie, PhD. Rob is a professor in the Quantitative Methods area of the Department of Psychology at York University. He received his PhD in Quantitative Methods for Psychology from the University of Manitoba in 2001. He has worked with the Statistical Consulting Service at York University for almost 20 years and been a member of the Executive of the Quantitative Methods section of the Canadian Psychological Association for 8 years. His research interests center around robust/alternative statistics, including equivalence testing and effect sizes.
Course Materials
Systematic Reviews Exercise
- Article One (Article One Annotated)
- Article Two (Article Two Annotated)
- Empty Table for Systematic Review Exercise
Data Cleaning Tips - R Script
- Dataset for Data Cleaning Tips
Meta-Analysis
- Meta-Analysis Example using R
- Dataset for the Meta-Analysis Example
Meta Analysis Exercise
- Edwards_Holtzman_Dataset
- R Script (Solution) for Meta-Analysis Exercise
