Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models

By Jason J. Williams, David P. MacKinnon. Structural equation modeling : a multidisciplinary journal, 2008

1,264 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6bb10ed3fca033702591965ae876fc24d7326cf8

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Citations in the corpus

How to Write Up and Report PLS Analyses (2010, methodology): “Estimate the signiﬁcance using either percentile bootstrap or bias corrected corrected bootstrap which has been shown to have the least biased conﬁdence intervals, greatest power to detect nonzero effects and contrasts, and the most accurate overall Type I error (Williams and MacKinnon 2008).”
Sense of Belonging and Self-Regulated Learning: Testing Achievement Goals as Mediators (2018, methodology): “McKinnon and colleagues have recommended to utilize the bias-corrected confidence interval method to test mediation effects due to the inaccuracy of confidence interval that is based on the normal distribution (MacKinnon, Fairchild, & Fritz, 2007; Williams & MacKinnon, 2008).”
12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, methodology): “Simulation studies evaluating the bootstrap indicate that accurate confidence intervals for γ21β12 can be obtained using the biascorrected percentile method (Cheung & Lau, 2008; Cheung, 2007; MacKinnon, Lockwood, & Williams, 2004; Taylor, MacKinnon, & Tein, 2008; Williams & MacKinnon, 2008).”
Monte Carlo Confidence Intervals for Complex Functions of Indirect Effects (2016, methodology): “For both quantities, the second factor, sample size, took on the values 50, 100, and 200, the values similar to the ones used by Williams and MacKinnon (2008).”
Do job resources affect work engagement via psychological empowerment? A mediation analysis (2013, methodology): “…of its better performance and statistical power compared to other mediation approaches (such as the Sobel test and the Baron and Kenny method), bias-corrected (BC) 95% bootstrap confidence intervals were used to make inferences about the relative indirect effects (Williams & MacKinnon, 2008).”
A Direct Comparison Approach for Testing Measurement Invariance (2012, methodology): “…mediation effects and comparing the strengths of mediation effects (Cheung & Lau, 2008; Lau & Cheung, 2012; MacKinnon, Lockwood, & Williams, 2004; Williams & MacKinnon, 2008), is extended to the test of ME/I. Unlike the likelihood ratio test (LRT) and the change in comparative fit index (DCFI)…”
Accuracy of Parameter Estimates and Confidence Intervals in Moderated Mediation Models (2017, background): “Previous studies have advocated for the construction of BCCIs for testing mediating effects (e.g., Cheung & Lau, 2008; MacKinnon et al., 2004; Williams & MacKinnon, 2008).”
Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results (2016, methodology): “Nevertheless, based on a simulation study involving complex structural models, Williams and MacKinnon (2008) concluded that the bias-corrected percentile bootstrap is the method of choice.”
Customer orientation and innovation : a comparative study of manufacturing and service firms (2016, methodology): “Therefore, bootstrapping has been recommended as the best approach for testing the indirect effects of multiple mediators in the same model (Preacher and Hayes, 2008; Williams and MacKinnon, 2008).”
Advantages of Monte Carlo Confidence Intervals for Indirect Effects (2012, methodology): “Future studies also should use more than 1,000 bootstrap resamples to determine empirical Type I error rates and power with greater precision, particularly for the bias-corrected bootstrap methods ( Williams, 2004 ).”
Destination loyalty: Effects of wine tourists’ experiences, memories, and satisfaction on intentions (2013, methodology): “Therefore, post hoc tests of the structural paths were conducted using the nonparametric bootstrap estimation technique employing 2000 replications (Williams and MacKinnon, 2008), consistent with current recommendations (Lei and Lomax, 2005; Ory and Mokhtarian, 2010).”