%0 Journal Article %1 Krizan2010 %A Krizan, Zlatan %D 2010 %J Behavior research methods %K Algorithms DataInterpretation Humans Meta-AnalysisasTopic Models MonteCarloMethod Narcissism PersonalityTests PersonalityTests:statistics&numericaldata Statistical %N 3 %P 863-70 %R 10.3758/BRM.42.3.863 %T Synthesizer 1.0: a varying-coefficient meta-analytic tool. %U http://www.ncbi.nlm.nih.gov/pubmed/20805608 %V 42 %X Meta-analysis has become an indispensable tool for reaching accurate and representative conclusions about phenomena of interest within a research literature. However, in order for meta-analytic computations to provide accurate estimates of population parameters (e.g., a population correlation), underlying statistical models need to be both efficient and unbiased. Current fixed-effect (i.e., constant-coefficient) models that assume a common effect for all research results perform poorly under conditions of effect size heterogeneity, whereas current random-effects (i.e., random-coefficient) models require unrealistic assumptions about random sampling of observed effect sizes from a normally distributed superpopulation. This article describes a free statistical software tool that employs a varying-coefficient model recently proposed by Bonett (2008, 2009). The software (Synthesizer 1.0) employs procedures that do not require effect homogeneity or random sampling of effect sizes from a normal distribution. It may be used to meta-analyze correlations, alpha reliabilities, and standardized mean differences. The Synthesizer tool for Microsoft Excel 2007 may be downloaded from the author at www.psychology.iastate.edu/~zkrizan/Synthesizer.htm or as a supplement to the article at http://brm.psychonomic-journals.org/content/supplemental. %@ 1554-3528; 1554-351X

@article{Krizan2010, abstract = {Meta-analysis has become an indispensable tool for reaching accurate and representative conclusions about phenomena of interest within a research literature. However, in order for meta-analytic computations to provide accurate estimates of population parameters (e.g., a population correlation), underlying statistical models need to be both efficient and unbiased. Current fixed-effect (i.e., constant-coefficient) models that assume a common effect for all research results perform poorly under conditions of effect size heterogeneity, whereas current random-effects (i.e., random-coefficient) models require unrealistic assumptions about random sampling of observed effect sizes from a normally distributed superpopulation. This article describes a free statistical software tool that employs a varying-coefficient model recently proposed by Bonett (2008, 2009). The software (Synthesizer 1.0) employs procedures that do not require effect homogeneity or random sampling of effect sizes from a normal distribution. It may be used to meta-analyze correlations, alpha reliabilities, and standardized mean differences. The Synthesizer tool for Microsoft Excel 2007 may be downloaded from the author at www.psychology.iastate.edu/~zkrizan/Synthesizer.htm or as a supplement to the article at http://brm.psychonomic-journals.org/content/supplemental.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Krizan, Zlatan}, biburl = {https://www.bibsonomy.org/bibtex/2c251d954fdecd5a0c34cba0bad6b139a/jepcastel}, city = {Department of Psychology, W112 Lagomarcino Hall, Iowa State University, Ames, IA 50011, USA. zkrizan@iastate.edu}, doi = {10.3758/BRM.42.3.863}, interhash = {f9376cc0361f31503bee8b33bf901495}, intrahash = {c251d954fdecd5a0c34cba0bad6b139a}, isbn = {1554-3528; 1554-351X}, issn = {1554-3528}, journal = {Behavior research methods}, keywords = {Algorithms DataInterpretation Humans Meta-AnalysisasTopic Models MonteCarloMethod Narcissism PersonalityTests PersonalityTests:statistics&numericaldata Statistical}, month = {8}, note = {5859<m:linebreak></m:linebreak>JID: 101244316; ppublish;<m:linebreak></m:linebreak>Software estadístic; Metaanàlisi}, number = 3, pages = {863-70}, pmid = {20805608}, timestamp = {2023-02-03T11:44:35.000+0100}, title = {Synthesizer 1.0: a varying-coefficient meta-analytic tool.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/20805608}, volume = 42, year = 2010 }