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Modern Meta Analysis Research Institute

Information about the 2025 cohort will be available in late fall 2024. 

Email mmari@gsu.edu with questions or concerns.

Requirements

MMARI is intended for STEM education researchers who have limited or no exposure to meta-analysis.  We are particularly interested in applicants who are early in their research career. Have questions?  See the FAQ's below.

Applicants must:

  • Be working or studying in a US institution

  • Have completed a course on intermediate statistics (multiple regression)

Designer At Work
  • What is the 2024 application deadline?
    The deadline for MMARI applications is February 28, 2024.
  • Can graduate students apply?
    Yes, graduate students can apply with a letter of support from their graduate school advisor.
  • Can I apply if I am not a US citizen?
    Yes, non-US citizens are eligible if they are currently employed by a US institution or are attending graduate school in the US.
  • Am I eligible for MMARI if I already have experience in meta-analysis?
    MMARI is aimed at researchers who have no or limited experience in meta-analysis. If you are interested in obtaining advanced skills in meta-analysis, consider applying to the Meta-Analysis Training Institute, funded by the Institute of Education Sciences here.
  • How much does MMARI cost?
    MMARI is free to participants due to the generous support of the National Science Foundation. Participant lodging, travel and per diem will be provided by MMARI.
  • Where will MMARI take place?
    MMARI 2024 will take place in Washington, D.C./Crystal City. More information about lodging and daily training sessions will be provided at a later time to accepted applicants.
  • How long is MMARI?
    The workshop meets from Monday - Friday, from 9 - 5 each day.
  • How do I apply?
    You can submit your application for on the Qualtrics link in the application page.
  • Where else can I go to learn more about meta-analysis?
    The Campbell Collaboration has helpful resources for anyone interested in learning more meta-analysis. You can also visit the Meta-Analysis Learning Information Center (MALIC).
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