– Constance J. Dalenberg, PhD
Alliant International University - Online Workshop
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA.
Who Should Attend
This workshop is intended for researchers, clinicians, educators, statisticians, graduate students, and anyone with an interest in understanding or performing meta-analyses. Our approach is primarily conceptual rather than mathematical, and participants with only one or two statistics classes in their background should be able to fully understand the materials.
Comprehensive Meta-Analysis (CMA) is one of those rare tools in the research arsenal that does what it is purports to and makes both the process and output understandable. I have used CMA for seven years in my own meta-analytic work and in EBP workshops and courses. The ease of learning the program application and the resulting output make for a wonderful data analysis and learning tool.
~ Chad Nye, PhD, Executive Director, University of Central Florida, Center for Autism & Related Disabilities, Orlando, FL
About the Meta-Analysis Course
The workshop is based on the books shown here. Learn to understand a meta-analysis, to perform a meta-analysis, and to avoid common mistakes in meta-analysis. The lectures will focus primarily on concepts and practical applications rather than formulas. You will learn to understand a published meta-analysis. You will also learn how to perform simple meta-analyses and more advanced analyses using the software Comprehensive Meta-Analysis.