Course » Why THIS course
Watch this video to get a sense of this course.
The material is presented in a way that makes it sound intuitive – you will understand the logic of meta-analysis. You will learn to perform a meta-analysis correctly and to report it properly.
One attendee wrote:
As a professor of statistics, I was unsure whether to take the initial online course in meta-analysis, thinking that it might either be too dense and jargon-filled to be interesting (given Dr. Borenstein’s impressive credentials and knowledge base) or too basic (given that I was already teaching a course).
As I finish the series now, however, I am awestruck by the quality of this offering. Dr. Borenstein is quite simply a master teacher, so he offers complex material in a completely comprehensible form, the best of both worlds.
I picked up details on the statistics, the use of CMA, and the theory behind the statistics, but I also (hopefully) will model the style and clarity of his teaching style in my own work in the future. I look forward to the intermediate and advanced sessions.
– Constance J. Dalenberg, PhD, Alliant International University - Online Workshop
Testimonials
"A lot of important information is covered in this course. I have gained a good understanding of the basic concepts of meta-analysis and become aware of some of the misunderstandings and 'traps' that are commonly encountered. I will definitely need to review all the information and apply it to my own M-A to reinforce what I've learned. Fortunately there is plenty of written and electronic back-up information provided too. Michael is a very passionate and generous instructor."
Janis Harse - University of Western Australia - Sydney 2020
"Fantastic course on the appropriate use of statistical concepts and techniques in meta-analysis without getting lost in the math. Very useful introduction to the potential of CMA software to perform various intricate analysis. Well taught and well paced for people with different backgrounds and interest."
Naresh Ramaratan - Navya Network - Los Angeles 2019