Doing meta-analysis in research: A systematic approach
Author(s) -
Vivek Jain,
Saudan Singh,
Rinku Sharma
Publication year - 2012
Publication title -
indian journal of dermatology venereology and leprology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.514
H-Index - 45
eISSN - 0973-3922
pISSN - 0378-6323
DOI - 10.4103/0378-6323.95438
Subject(s) - meta analysis , strengths and weaknesses , computer science , set (abstract data type) , systematic review , statistical power , data mining , data science , statistics , econometrics , information retrieval , management science , psychology , mathematics , medline , engineering , medicine , social psychology , political science , law , programming language
Meta-analysis is an objective, systematic review that employs statistical methods to combine and summarize the results of several studies. It is a quantitative synthesis of all the unbiased evidence, meant for summarizing large volume of data, establishing and determining the magnitude of an effect, and to increase power and precision of studies. The steps to performing a meta-analysis include making a hypothesis and defining the domain of research, defining inclusion/exclusion criteria, literature search, selecting the final set of studies, extracting data on variables of interest, coding procedures, calculating effect sizes and interpretations, selecting potential moderators and examine their relationships, report writing, and critical evaluation. Meta-analysis has several strengths as well as weaknesses.
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