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Foundations of Meta-Analysis

Five-day Course • June 10 - 14, 2013 • Lawrence, Kansas

Presented by the Quantitative Training Program of Psychology and the Center for Research Methods and Data Analysis at the University of Kansas.

Objectives

This course teaches the skills necessary to conduct and write publishable meta-analytic reviews, including methods of searching the empirical literature, coding effect sizes, and analyzing effect sizes across multiple studies.

The Institute on Foundations of Meta-Analysis will enable participants to:

  • Understand and critically evaluate published meta-analyses.
  • Develop the skills necessary to conduct and write publishable meta-analytic reviews.
  • Identify the foundations upon which more advanced meta-analytic techniques are based.

Audience

If you are interested in systematically reviewing existing empirical literature and have a basic statistical background, this course is for you. You should have a good working knowledge of the principles and practice of elementary statistics (e.g., t-tests, ANOVA, correlation/regression). No further quantitative training is assumed, although participants with more extensive backgrounds will also benefit from this course.

Participants from a variety of fields, including psychology, education, human development, sociology, marketing, business, biology, medicine, political science, and communication, will benefit from the course.

Instructor

Noel A. Card, Ph.D., is an associate professor in Family Studies and Human Development at the University of Arizona. He holds a Ph.D. in clinical psychology from St. John's University and completed a postdoctoral fellowship in quantitative and developmental psychology at the University of Kansas. Noel has published and consulted on several meta-analytic reviews and is currently preparing a book, Meta-Analysis: Quantitative Synthesis of Social Science Research. He has received many accolades for his skills at teaching and consulting on advanced quantitative topics.

Software and Other Material

Participants will be e-mailed information on the software needed for this course approximately three weeks prior to the start of the course.

Attendees are encouraged to bring a laptop computer that contains basic spreadsheet (e.g., Excel) and statistical analysis (e.g., SPSS) software. The course will not rely on any specific software packages, but participants who wish to practice techniques will benefit from having these basic capabilities on their computers.

Participants should bring several (e.g., 8–12) articles that they would consider including in a meta-analysis.

Syllabus

Foundations of Meta-Analysis
Noel Card, Associate Professor
University of Arizona

Monday June 10, 2013
9:00 – 9:45 Welcome and course overview
9:45 – 10:30 Introduction to meta-analysis
10:45 –1 2:00 Advantages and criticisms of meta-analysis
12:00 – 1:30 Lunch *
1:30 – 3:00 Problem formulation and searching the literature
3:15 – 5:00 Identifying and coding variables in primary literature
5:00 – 8:30 Free BBQ (burgers, veggie burgers, brats) and open beer/wine bar at Holiday Inn
Tuesday June 11, 2013
9:00 – 10:30 Computing effect sizes I: Introduction to effect sizes; computing Z or r from reported data
10:45 – 12:15 Computing effect sizes II: Computing d or o from reported data; standard errors
12:15 – 1:30 Lunch *
1:30 – 3:00 Computing effect sizes III: Correcting effect sizes for artifacts
3:15 – 5:00 Q&A on searching and study coding / consulting on individual projects
5:45 Free Bus to Downtown Departs
8:45 Free Bus returns from Downtown
Wednesday June 12, 2013
9:00 – 10:30 Combining effect sizes I: Computing (fixed-effects) mean effect sizes
10:45 – 11: 30 Combining effect sizes II: Evaluating heterogeneity of effect sizes
11:30 – 1:00 Lunch *
1:00 – 3:00 Combining effect sizes III: Fixed- and random-effects models
3:15 – 5:00 Q&A on combining effect sizes / consulting on individual projects
5:45 Free Bus to Downtown Departs
8:45 Free Bus returns from Downtown
Thursday June 13, 2013
9:00 – 10:30 Comparing effect sizes I: Categorical moderator analysis
10:45 – 12:00 Comparing effect sizes II: Continuous moderator analysis
12:00 – 1:30 Lunch *
1:30 – 3:00 Comparing effect sizes III: Multiple / confounded moderators
3:15 – 5:00 Q&A on moderator analyses / consulting on individual projects
5:45 Free Bus to Downtown Departs
8:45 Free Bus returns from Downtown
Friday June 14, 2013
9:00 – 10:30 Diagnostics (e.g., evaluating publication bias)
10:45 – 12:00 Reporting results of a meta-analysis (graphical displays; writing tips)
12:00 – 1:15 Lunch *
1:00 – 4:00 Wrap-up / consulting on individual projects

* Our group lunch is included in the Holiday Inn room rate and tickets for the group lunch are also available for purchase for those not staying at the Holiday Inn. There are other lunch options in Lawrence as well.


Course Files

Below are links to course files for those who enrolled in the course. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.


Coming soon.


Contact Information

For information on course content, contact Noel A. Card.
A full list of prices and fellowship opportunities for this course and all the courses offered at this year's Summer Institutes in Statistics can be found on the Fees and Registration Page.