Document Detail


The power of statistical tests in meta-analysis.
MedLine Citation:
PMID:  11570228     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Calculations of the power of statistical tests are important in planning research studies (including meta-analyses) and in interpreting situations in which a result has not proven to be statistically significant. The authors describe procedures to compute statistical power of fixed- and random-effects tests of the mean effect size, tests for heterogeneity (or variation) of effect size parameters across studies, and tests for contrasts among effect sizes of different studies. Examples are given using 2 published meta-analyses. The examples illustrate that statistical power is not always high in meta-analysis.
Authors:
L V Hedges; T D Pigott
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Psychological methods     Volume:  6     ISSN:  1082-989X     ISO Abbreviation:  Psychol Methods     Publication Date:  2001 Sep 
Date Detail:
Created Date:  2001-09-25     Completed Date:  2001-12-07     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9606928     Medline TA:  Psychol Methods     Country:  United States    
Other Details:
Languages:  eng     Pagination:  203-17     Citation Subset:  IM    
Affiliation:
Department of Education, University of Chicago, 5835 South Kimbark Avenue, Chicago, Illinois 60637, USA. hedge@src.uchicago.edu
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MeSH Terms
Descriptor/Qualifier:
Humans
Meta-Analysis as Topic*
Models, Psychological*

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