Accuracy of Parameter Estimates and Confidence Intervals in Moderated Mediation Models

By Gordon W. Cheung, Rebecca S. Lau. 2017

235 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c756ec74394ef2ff28e590eb20834b82d9115a5c

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In Computer Networks and Communications

In Management Science and Operations Research

Citations in the corpus

Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! (2020, background): “…process models can address recent concerns regarding the application of latent approaches to test mediation effects but reverting to non-latent approaches (e.g., PROCESS) to test moderation effects within the same model (Cheung & Lau, 2017; Cortina et al., 2020; Sardeshmukh & Vandenberg, 2017).”
The ripple effect: A spillover model of the detrimental impact of work–family conflict on job success (2017, methodology): “Following Cheung and Lau (2015), bias-corrected bootstrap confidence intervals were created for each estimated parameter because both the interaction term and the mediating effects are not normally distributed.”
The Analysis of Mechanisms and Their Contingencies: PROCESS versus Structural Equation Modeling (2017, background): “Both these approaches can reduce bias in the estimation of effects in a mediation or conditional process analysis (see Cheung and Lau, 2015; Ledgerwood and Shrout, 2011).”
The Moderation Role of Transformational Leadership in the Effect of Instructional Leadership on Teacher Professional Learning and Instructional Practice: An Integrated Leadership Perspective (2021, methodology): “If the model yields an acceptable fit without the latent interaction, then it is possible to proceed to the second step (Cheung & Lau, 2017).”
Conditional Process Analysis: Concepts, Computation, and Advances in the Modeling of the Contingencies of Mechanisms (2020, methodology): “As a result, many will feel that the potential bias caused by measurement error when a tool like PROCESS is used (see, e.g., Cheung & Lau, 2017) is a reasonable price to pay for the convenience it offers.4 The difficulty in estimating latent variable interactions goes away if the moderator in a…”