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This course was fantastic. A good balance of theory and practice really helped to bring my current understanding of meta-analysis to a higher level. It helped to smooth out some rough edges that will guide my future research.
– Liz Speelman
Georgia College & State University


MichaelAbout 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.

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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.

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Software Testimonials

Quote 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

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About the Workshop Book Cover

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.

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