MMARI is intended for STEM 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)

  • Apply by February 28, 2021

Application closed? Please click here for more information. 

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  • What is the 2021 application deadline? The application for MMARI 2021 is currently closed

  • 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? The 2021 MMARI training will take place online in accordance with COVID-19 safety guidelines. 

  • How long is MMARI? The workshop meets from Monday - Friday, from 9 - 5 each day.

  • How do I apply? Click here to apply.

  • 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.

  • How will MMARI be adapted for COVID-19 safety guidance? MMARI 2021 will be conducted using an online, flipped-classroom format using asynchronous and synchronous materials. While there will be self-guided learning materials, participants should expect to commit 40 hours of time to attending the week-long training.