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Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for

Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for clinicians to use multiple informant (MI) data in studies of statistical mediation. By coupling the use of MI data with statistical mediation analysis, clinical researchers can combine the benefits of both techniques. Integrating the information from MIs into a statistical mediation model creates various methodological and practical challenges.

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    Date Created
    • 2015-11-13
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.3389/fpsyg.2015.01674
    • Identifier Type
      International standard serial number
      Identifier Value
      1664-1078

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    Papa, L. A., Litson, K., Lockhart, G., Chassin, L., & Geiser, C. (2015). Analyzing Statistical Mediation with Multiple Informants: A New Approach with an Application in Clinical Psychology. Frontiers in Psychology, 6. doi:10.3389/fpsyg.2015.01674

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