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Foundations of Meta-Analysis
 

Five-day Course • June 8 –12, 2009• Lawrence, Kansas

Sponsored by the Quantitative Psychology Training Program of the Department of Psychology at the
University of Kansas

Objectives

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 assistant 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

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

COMMING SOON!

Contact Information

For information on course content, contact Noel A. Card: ncard@email.arizona.edu.

For information on registering, contact Todd D. Little: yhat@ku.edu.


Please send questions or comments concerning this Web site to Donald Gay.