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The Performance of Methods to Test Upper-Level Mediation in the Presence of Nonnormal Data.
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- Author(s): Pituch, Keenan A.1 ; Stapleton, Laura M.2
- Source:
Multivariate Behavioral Research. Apr2008, Vol. 43 Issue 2, p237-267. 31p. 1 Diagram, 5 Charts.- Subject Terms:
- Source:
- Additional Information
- Abstract: A Monte Carlo study compared the statistical performance of standard and robust multilevel mediation analysis methods to test indirect effects for a cluster randomized experimental design under various departures from normality. The performance of these methods was examined for an upper-level mediation process, where the indirect effect is a fixed effect and a group-implemented treatment is hypothesized to impact a person-level outcome via a person-level mediator. Two methods—the bias-corrected parametric percentile bootstrap and the empirical-M test—had the best overall performance. Methods designed for nonnormal score distributions exhibited elevated Type I error rates and poorer confidence interval coverage under some conditions. Although preliminary, the findings suggest that new mediation analysis methods may provide for robust tests of indirect effects. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Multivariate Behavioral Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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