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Methodologists have developed mediation analysis techniques for a broad range of substantive applications, yet methods for estimating mediating mechanisms with missing data have been understudied. This study outlined a general

Methodologists have developed mediation analysis techniques for a broad range of substantive applications, yet methods for estimating mediating mechanisms with missing data have been understudied. This study outlined a general Bayesian missing data handling approach that can accommodate mediation analyses with any number of manifest variables. Computer simulation studies showed that the Bayesian approach produced frequentist coverage rates and power estimates that were comparable to those of maximum likelihood with the bias-corrected bootstrap.

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Date Created
  • 2013
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  • Text
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    Identifier
    • Digital object identifier: 10.1080/00273171.2013.784862
    • Identifier Type
      International standard serial number
      Identifier Value
      0027-3171
    • Identifier Type
      International standard serial number
      Identifier Value
      1532-7906
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    Enders, C. K., Fairchild, A. J., & MacKinnon, D. P. (2013). A bayesian approach for estimating mediation effects with missing data. Multivariate Behavioral Research, 48(3), 340-369. doi:10.1080/00273171.2013.784862

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