Robust Variance Estimation with Dependent Effect Sizes: Practical Considerations Including a Software Tutorial in Stata and SPSS

Autor/inn/en	Tanner-Smith, Emily E.; Tipton, Elizabeth
Titel	Robust Variance Estimation with Dependent Effect Sizes: Practical Considerations Including a Software Tutorial in Stata and SPSS
Quelle	In: Research Synthesis Methods, 5 (2014) 1, S.13-30 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1091
Schlagwörter	Robustness (Statistics); Effect Size; Computer Software; Tutorial Programs; Statistical Analysis; Meta Analysis + Suchen Sie Ihr Suchwort? Widerstandsfähigkeit; Tutorial programmes; Förderprogramm; Lernprogramm; Tutorensystem; Statistische Analyse; Meta-analysis; Metaanalyse
Abstract	Methodologists have recently proposed robust variance estimation as one way to handle dependent effect sizes in meta-analysis. Software macros for robust variance estimation in meta-analysis are currently available for Stata (StataCorp LP, College Station, TX, USA) and SPSS (IBM, Armonk, NY, USA), yet there is little guidance for authors regarding the practical application and implementation of those macros. This paper provides a brief tutorial on the implementation of the Stata and SPSS macros and discusses practical issues meta-analysts should consider when estimating meta-regression models with robust variance estimates. Two example databases are used in the tutorial to illustrate the use of meta-analysis with robust variance estimates. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01