K
Kristopher J. Preacher
Researcher at Vanderbilt University
Publications - 129
Citations - 86401
Kristopher J. Preacher is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Mediation (statistics) & Structural equation modeling. The author has an hindex of 58, co-authored 125 publications receiving 74266 citations. Previous affiliations of Kristopher J. Preacher include University of North Carolina at Chapel Hill & Ohio State University.
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Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
TL;DR: An overview of simple and multiple mediation is provided and three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model are explored.
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SPSS and SAS procedures for estimating indirect effects in simple mediation models.
TL;DR: It is argued the importance of directly testing the significance of indirect effects and provided SPSS and SAS macros that facilitate estimation of the indirect effect with a normal theory approach and a bootstrap approach to obtaining confidence intervals to enhance the frequency of formal mediation tests in the psychology literature.
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Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions.
TL;DR: This article disentangle conflicting definitions of moderated mediation and describes approaches for estimating and testing a variety of hypotheses involving conditional indirect effects, showing that the indirect effect of intrinsic student interest on mathematics performance through teacher perceptions of talent is moderated by student math self-concept.
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Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis.
TL;DR: The authors provides an overview of methods used to probe interaction effects and describes a unified collection offreely available online resources that researchers can use to obtain significance tests and confidence bands for simple slopes across the range of the moderator in the MLR, HLM, and LCA contexts.
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On the Practice of Dichotomization of Quantitative Variables
TL;DR: The authors present the case that dichotomization is rarely defensible and often will yield misleading results.