Applications Invited for the Modern Meta-Analysis Research Institute

Applications Invited for the Modern Meta-Analysis Research Institute

DESCRIPTION

 

The Modern Meta-Analysis Training Institute (MMARI) is accepting applications for its upcoming session on state-of-the-art meta-analytic methods. This training is funded through a Capacity Building Grant from the National Science Foundation (NSF).

The purpose of this institute is to provide STEM researchers with a comprehensive, introductory meta-analysis workshop focused on state-of-the-art methods including use of the program R. Like other introductory courses, the institute is targeted at early-career researchers with no previous experience with meta-analysis. Participants will be able to use R for meta-analysis; understand differences between effect sizes and compute effect sizes from the most common types of data reported in studies; specify an appropriate meta-analysis model; estimate and report both an average effect size and the extent of variation in effect sizes; explore and interpret heterogeneity of effect sizes using meta-regression models, and conduct appropriate publication bias analyses and interpret the effect of possible bias on findings. 

The workshop includes four and one half days of training and one half day of group presentations. Each day will include four sessions and time to work on the group project. The integrative project will provide participants with an opportunity to practice conducting a meta-analysis. 

Dates: June 21 - 26, 2020
Location: Downtown Atlanta, GA
Application due date: Wednesday, April 1, 2020
Cost: Free!
Eligibility: Graduate students, faculty, and research staff at U.S. institutions

Workshop details and application submission materials are available at www.meta-analysis-research-institute.com

If you have questions about the 2020 Modern Meta-Analysis Research Institute, then please contact the training team at mmari@gsu.edu.

 

 

 

Opportunities
OPPORTUNITY DETAILS

Deadline: 

Wednesday, April 1, 2020

Topic(s):