Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes

James Gaskin (), Samuel Ogbeibu () and Paul Benjamin Lowry ()
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James Gaskin: Brigham Young University
Samuel Ogbeibu: University of Bradford
Paul Benjamin Lowry: Virginia Tech

Chapter Chapter 8 in Partial Least Squares Path Modeling, 2023, pp 209-228 from Springer

Abstract: Abstract The maturing state of partial least squares structural equation modeling (PLS-SEMPartial Least Squares (PLS)structural equation model (PLS-SEM)) research has seen exceptional knowledge advances over the past decade. However, advances in practice among lay researchers have advanced at a slower pace. We conclude that this gap between PLS-SEMPartial Least Squares (PLS)structural equation model (PLS-SEM) research and practice may be attributed to the sophisticated and arcane approach to detailing new methodological advances. Moreover, prediction has been a peripheral topic in PLS-SEMPartial Least Squares (PLS)structural equation model (PLS-SEM) mediation literature to date. This chapter sits at the intersection of these two gaps. We first seek to advance understanding of the intertwining roles of prediction and mediation. We then provide practical demonstrations of two particularly occluded topics in mediation research: specific indirectSpecific indirect effects effectsIndirect effects and indirectIndirect effect sizes effectIndirect effect sizes sizesEffect sizes.

Date: 2023
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DOI: 10.1007/978-3-031-37772-3_8

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