Analyzing matrices of meta-analytic correlations: current practices and recommendations.
Researchers have become increasingly interested in conducting analyses on meta-analytic correlation matrices. Methodologists have provided guidance and recommended practices for the application of this technique. The purpose of this article is to review current practices regarding analyzing meta-analytic correlation matrices, to identify the gaps between current and best practices, and to offer a comprehensive set of recommendations regarding the planning, collection, analysis, and interpretation of studies that utilize meta-analytic correlation matrices. Copyright © 2016 John Wiley & Sons, Ltd.
George Mason University, Psychology, 4400 University Drive Fairfax, VA, USA, 22030.
Zitong
Z
Sheng
George Mason University, Psychology, 4400 University Drive Fairfax, VA, USA, 22030.
Wenmo
W
Kong
George Mason University, Psychology, 4400 University Drive Fairfax, VA, USA, 22030.
Jose M
JM
Cortina
George Mason University, Psychology, 4400 University Drive Fairfax, VA, USA, 22030.
Shuofei
S
Hou
D000465:Algorithms; D003625:Data Collection; D003627:Data Interpretation, Statistical; D006801:Humans; D015201:Meta-Analysis as Topic; D015233:Models, Statistical; D011584:Psychology / Q000379:methods; D015203:Reproducibility of Results; D012107:Research Design; D018401:Sample Size; D013223:Statistics as Topic
current practices; meta-analytic correlation matrix; path analysis; recommendations; structural equation modeling