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Meta Analysis 2

Meta Analysis 2

This course will teach you advanced issues in meta-analysis and the statistical analyses that are used to synthesize summary data from a series of studies.


Meta-Analysis refers to statistical analyses used to synthesize summary data from a series of studies. This course continues the course of study begun with Meta Analysis 1. Participants will briefly review material covered in Meta Analysis 1, then cover meta-regression, power analysis, interpretation of results in terms of effect-sizes and the relationship with p-values, and considerations in psychometric meta-analysis. They will also study publication bias, vote-counting, and criticisms of meta-analysis.

  • Intermediate
  • 4 Weeks
  • Expert Instructor
  • Tuiton-Back Guarantee
  • 100% Online
  • TA Support

Learning Outcomes

Students who complete this course will be able to formulate a research question relevant to their area of interest in a format that is appropriate for meta-analysis. They will learn how to perform a basic literature search and how to evaluate studies for inclusion in their analysis. They will develop the ability apply the appropriate statistics to a dataset supplied by the instructor,  and to interpret the results .They will be able to demonstrate that they can apply the skills taught in this course as well as the skills they learned in Meta-Analysis 1.

  • Use fixed and random effects models appropriately
  • Conduct subgroup analyses
  • Work with multiple outcomes within studies
  • Describe and assess publication bias
  • Conduct sensitivity analysis

Who Should Take This Course

Researchers who plan to perform a meta-analysis, or who want to be able understand meta-analyses that have been published by others.

Our Instructors

Dr. Michael Borenstein

Dr. Michael Borenstein

Dr. Michael Borenstein is the Director of Biostat, a company that develops statistical software. Dr. Borenstein is the primary developer of Power And Precision, a computer program for sample size calculation, and of Comprehensive Meta Analysis, a computer program for meta analysis and systematic reviews. He served as Director of Biostatistics at Long Island Jewish Medical Center (1982-2002) and as Associate Professor at Albert Einstein College of Medicine (1992-2002). Dr. Borenstein has served on a number of review groups and advisory panels for the National Institutes of Health, including SBIR review groups (1994-2002) and as a member of the NIMH Data Safety Monitoring Board (1997-2001). He is an active member of the statistical advisory groups of the Cochrane and Campbell Collaborations.

Course Syllabus

Week 1

  • Review of basic issues in meta-analysis
    • Effect Sizes
    • Fixed and Random Effects
    • Heterogeneity
    • Prediction Intervals

Week 2

  • Meta-Analysis in the Context of a Systematic Review
  • Formulating a Research Question
  • Searching the Literature
  • Developing Inclusion and Exclusion Criteria

Week 3

  • Assessing Study Quality
  • Creating a Coding Sheet
  • Calculating Effect Sizes

Week 4

  • Analyzing a dataset
  • Testing for Publication Bias
  • Interpretation of analyses

Class Dates


09/22/2023 to 10/20/2023
Instructors: Dr. Michael Borenstein


08/16/2024 to 09/13/2024
Instructors: Dr. Michael Borenstein


08/15/2025 to 09/12/2025
Instructors: Dr. Michael Borenstein


Meta Analysis 1

This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
  • Skill: Intermediate
  • Credit Options: CEU
Karolis Urbonas
Susan Kamp
Stephen McAllister
Amir Aminimanizani
Elena Rose
Leonardo Nagata
Richard Jackson

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Meta Analysis 2

Additional Information


Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

In addition to assigned readings, this course also has an end of course data modeling project, short narrated software demos, and supplemental readings available online.

Course Text

There are two required course texts:  the first is Introduction to Meta-Analysis, by Borenstein, Hedges and Higgins, the second is Research Synthesis and Meta-Analysis: A Step by Step Approach, 5th edition, by Cooper.

Be sure to order these texts prior to the course start date.


The course includes illustrations and exercises using Microsoft Excel.  Participants will also be given access to the software Comprehensive Meta-Analysis during the first week of the course, and will learn how to use this program to conduct advanced analyses.

Please be aware that this software program is for Windows only, and will not run on Mac OS platforms.

Supplemental Information

Literacy, Accessibility, and Dyslexia

At, we aim to provide a learning environment suitable for everyone. To help you get the most out of your learning experience, we have researched and tested several assistance tools. For students with dyslexia, colorblindness, or reading difficulties, we recommend the following web browser add-ons and extensions:







  • Navidys (for colorblindness, dyslexia, and reading difficulties)
  • HelperBird for Safari (for colorblindness, dyslexia, and reading difficulties)

Register For This Course

Meta Analysis 2