Skip to content
Statistics logo
  • Courses
    • See All Courses
    • Calendar
    • Intro stats for college credit
    • Faculty
    • Group training
    • Credit & Credentialing
    • Teach With Us
  • Programs/Degrees
    • Certificates
      • Analytics for Data Science
      • Biostatistics
      • Programming For Data Science – Python (Experienced)
      • Programming For Data Science – Python (Novice)
      • Programming For Data Science – R (Experienced)
      • Programming For Data Science – R (Novice)
      • Social Science
    • Skillsets
      • Bayesian Statistics
      • Business Analytics
      • Healthcare Analytics
      • Marketing Analytics
      • Operations Research
      • Predictive Analytics
      • Python Analytics
      • R Programming Analytics
      • Rasch & IRT
      • Spatial Statistics
      • Survey Analysis
      • Text Mining Analytics
    • Undergraduate Degree Programs
    • Graduate Degree Programs
  • Partnerships
    • Higher Education
    • Enterprise
  • Resources
    • About Us
    • Blog
    • Word Of The Week
    • Newsletter signup
    • Glossary
    • Statistical Symbols
    • FAQs & Knowledge Base
    • Testimonials
    • Test Yourself
  • Student Login

Meta-analysis

Meta-analysis:

Meta-analysis takes the results of two or more studies of the same research question and combines them into a single analysis. The purpose of meta-analysis is to gain greater accuracy and statistical power by taking advantage of the large sample size resulting from the cumulation of results over multiple studies. Meta-analysis typically uses the summary statistics from the individual studies, without requiring access to the full data set. Key components of meta-analysis include ensuring the availability of a common metric (statistic) across all studies, and the use of appropriate algorithms for combining or averaging those metrics across studies and assessing statistical significance.

See also: http://www.mnsinc.com/solomon/MetaA/MApage2.html#LinksAnch

Browse Other Glossary Entries

Courses Using This Term

Meta Analysis 1
This course will explain meta analysis and the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.
Return to Glossary Search

About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

Our Links

  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team
Menu
  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team

Social Networks

Linkedin-in Twitter Facebook-f Youtube

Contact

The Institute for Statistics Education
2107 Wilson Blvd
Suite 850 
Arlington, VA 22201
(571) 281-8817

ourcourses@statistics.com

  • Contact Us
  • Site Map
  • Explore Courses
  • About Us
  • Management Team

© Copyright 2022 - Statistics.com, LLC | All Rights Reserved | Privacy Policy | Terms of Use

By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.

Accept