A SAS macro for statistical power calculations in meta-analysis

被引:39
作者
Cafri, Guy [1 ]
Kromrey, Jeffrey D. [1 ]
Brannick, Michael T. [1 ]
机构
[1] Univ S Florida, Dept Psychol, Tampa, FL 33620 USA
关键词
EFFECTS MODELS; TESTS;
D O I
10.3758/BRM.41.1.35
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Although statistical power is often considered in the design of primary research studies, it is rarely considered in meta-analysis. Background and guidelines are provided for conducting power analysis in meta-analysis, followed by the presentation of a SAS macro that calculates power using the methods described by Hedges and Pigott (2001, 2004). Several detailed examples are given, including input statements and output. Practical issues in the application of power analysis to meta-analysis are discussed. The macro and examples may be downloaded as supplemental materials for this article from brm.psychonomic-journals.org/content/supplemental.
引用
收藏
页码:35 / 46
页数:12
相关论文
共 11 条
[1]  
CAFRI G, 2008, EMPIRICAL REV UNPUB
[2]  
Cohen J., 1988, Statistical power analysis for the behavioural sciences, V2nd
[3]   METAANALYSIS IN CLINICAL-TRIALS [J].
DERSIMONIAN, R ;
LAIRD, N .
CONTROLLED CLINICAL TRIALS, 1986, 7 (03) :177-188
[4]   Using random rather than fixed effects models in meta-analysis: Implications for situational specificity and validity generalization [J].
Erez, A ;
Bloom, MC ;
Wells, MT .
PERSONNEL PSYCHOLOGY, 1996, 49 (02) :275-306
[5]   Fixed- and random-effects models in meta-analysis [J].
Hedges, LV ;
Vevea, JL .
PSYCHOLOGICAL METHODS, 1998, 3 (04) :486-504
[6]   The power of statistical tests for moderators in meta-analysis [J].
Hedges, LV ;
Pigott, TD .
PSYCHOLOGICAL METHODS, 2004, 9 (04) :426-445
[7]   The power of statistical tests in meta-analysis [J].
Hedges, LV ;
Pigott, TD .
PSYCHOLOGICAL METHODS, 2001, 6 (03) :203-217
[8]  
Hedges LV., 1985, STAT METHODS METAANA, DOI [10.1016/C2009-0-03396-0, DOI 10.1016/C2009-0-03396-0]
[9]  
Hunter J. E., 2004, Methods of meta-analysis: Correcting error and bias in research findings
[10]  
Lipsey M.W., 2001, Practical meta-analysis