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Meta‐analysis and mega‐analysis: A simple introduction
Author(s) -
Eisenhauer Joseph G.
Publication year - 2020
Publication title -
teaching statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.425
H-Index - 13
eISSN - 1467-9639
pISSN - 0141-982X
DOI - 10.1111/test.12242
Subject(s) - mega , simple (philosophy) , computer science , statistical analysis , meta analysis , variance (accounting) , raw data , econometrics , data science , statistics , management science , mathematics , engineering , epistemology , economics , philosophy , physics , astronomy , medicine , accounting
Statistical methods are increasingly being used to integrate findings from the ever‐expanding universe of empirical research. Meta‐analysis encompasses various techniques for synthesizing summary statistics, and mega‐analysis pools raw data across studies. This paper offers an introduction to meta‐analysis and mega‐analysis that complements the study of analysis of variance (ANOVA). After a brief conceptual discussion, we provide simple numerical examples.