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  • 标题:An Evaluation of Multiple Imputation for Meta-Analytic Structural Equation Modeling
  • 本地全文:下载
  • 作者:Furlow, Carolyn F. ; Beretvas, S. Natasha
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2010
  • 卷号:9
  • 期号:1
  • 页码:14
  • 出版社:Wayne State University
  • 摘要:A simulation study was used to evaluate multiple imputation (MI) to handle MCAR correlations in the first step of meta-analytic structural equation modeling: the synthesis of the correlation matrix and the test of homogeneity. No substantial parameter bias resulted from using MI. Although some SE bias was found for meta-analyses involving smaller numbers of studies, the homogeneity test was never rejected when using MI.
  • 关键词:Meta-analysis; structural equation modeling; multiple imputation; missing data
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