Meta Analysis 2

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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:

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirement:
About 15 hours per week, at times of  your choosing.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course,  CEU's and a record of course completion will be issued by The Institute, upon request.


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.


Meta Analysis 2

Instructor(s):
Dates:
August 25, 2017 to September 22, 2017

Course Fee: $589