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Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https:// https://doi.org/10.3758/BRM.40.3.879. Abstract. Hypotheses involving mediation are common in the behavioral sciences.
Preacher, K. J., & Hayes, A. F. (2008). Contemporary approaches to assessing mediation in communication research. In A. F. Hayes, M. D. Slater, & L. B. Snyder (Eds.), The Sage sourcebook of advanced data analysis methods for communication research (pp. 13–54).
Preacher, K. J., & Hayes, A. F. (2008). Contemporary approaches to assessing mediation in communication research. In A. F. Hayes, M. D. Slater, & L. B. Snyder (Eds.), The Sage sourcebook of advanced data analysis methods for communication research (pp. 13–54). Thousand Oaks, CA: Sage. Google Scholar
Preacher and Hayes (2004, 2008). In extensive sets of simulations, MacKinnon et al. (2002; MacKinnon et al., 2004) examined the performance of these methods (among others) to assess their Type I error rates and power. They recommended the use of the distribution of the product approach or bootstrapping over the Sobel test or
Kristopher J Preacher 1 , Andrew F Hayes. Affiliation. 1 Department of Pxychology, University of Kansas, Lawrence, Kansas 66045-7556, USA. preacher@ku.edu. PMID: 18697684. DOI: 10.3758/brm.40.3.879. Abstract. Hypotheses involving mediation are common in the behavioral sciences.
Kristopher J. Preacher. Andrew F. Hayes. n scholars frequently con-duct research to answer questions about cause. Data analysis usually focuses on examining if the putative causal variable, whether manipulated or measured, is related to the outcome.
Sep 1, 2008 · According to Preacher and Hayes (2008), the investigation of multiple mediations should involve two parts: the investigation of the total indirect effect, and the testing of hypotheses...
