Meta Analysis 2

taught by Michael Borenstein

Aim of Course:

Meta-Analysis refers to the statistical analyses that are used to synthesize summary data from a series of studies. This online course, "Meta Analysis 2" continues the course of study begun with Meta Analysis 1. Participants will briefly review the material covered in Meta Analysis 1, then cover meta-regression (fixed and random effects models), power analysis, interpretation of results in terms of effect-sizes (and the relationship with p-values), and considerations in psychometric meta-analysis. The course will also review publication bias, vote-counting, and criticisms of meta-analysis.

This course may be taken individually (one-off) or as part of a certificate program.
Course Program:

WEEK 1: Effect Sizes in Meta Analysis

  • Refresher of basic issues in meta-analysis
  • Computing effect sizes
  • Fixed and random-effects models

WEEK 2: Subgroups in Meta Analysis

  • Subgroups analysis
  • Meta-regression

WEEK 3: Multiple Groups and Outcomes

  • Working with multiple independent subgroups within studies
  • Working with multiple outcomes within studies

WEEK 4: Cumulative and Sensitivity Analysis

  • Publication bias
  • Cumulative analysis
  • Sensitivity analysis

HOMEWORK:

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.

Meta Analysis 2

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.
Level:
Intermediate
Prerequisite:
Meta Analysis
Organization of the Course:
Options for Credit and Recognition:
Course Text:

The required course text is Introduction to Meta-Analysis, by Borenstein, Hedges and Higgins.

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

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 Macs.
Instructor(s):

Dates:

August 23, 2019 to September 20, 2019 August 21, 2020 to September 18, 2020 August 20, 2021 to September 17, 2021

Meta Analysis 2

Instructor(s):

Dates:
August 23, 2019 to September 20, 2019 August 21, 2020 to September 18, 2020 August 20, 2021 to September 17, 2021

Course Fee: $589

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

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The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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