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Analyzing mediation models with multiple informants: A new approach and its application in clinical psychology
Frontiers in Psychology: Psychology for Clinical Settings
  • Christian Geiser, Utah State University
  • Lesther A. Papa, Utah State University
  • Kaylee Litson, Utah State University
  • Ginger Lockhart, Utah State University
  • Laurie Chassin, Arizona State University
Document Type
Article
Publisher
Frontiers
Publication Date
11-13-2015
DOI
10.3389/fpsyg.2015.01674
Abstract
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. The authors review prior methodological approaches to MI mediation analysis in clinical research and propose a new latent variable approach that overcomes some limitations of prior approaches. An application of the new approach to mother, father, and child reports of impulsivity, frustration tolerance, and externalizing problems (N = 454) is presented. The results showed that frustration tolerance mediated the relationship between impulsivity and externalizing problems. The new approach allows for a more comprehensive and effective use of MI data when testing mediation models.
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Citation Information
Christian Geiser, Lesther A. Papa, Kaylee Litson, Ginger Lockhart, et al.. "Analyzing mediation models with multiple informants: A new approach and its application in clinical psychology" Frontiers in Psychology: Psychology for Clinical Settings Vol. 6 (2015)
Available at: http://works.bepress.com/christian-geiser/15/