Comparison of Approaches to Constructing Confidence Intervals for Mediating Effects Using Structural Equation Models

By Mike W.-L. Cheung. 2007

249 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/2da10d5223f4cf5f8ded59139aa48b6e4da496bd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

In Computer Networks and Communications

In Management Science and Operations Research

Citations in the corpus

Shivers and Timbres (2011, methodology): “Mediation was assessed using both the Sobel test and bias-corrected bootstrapping of the indirect effect (MacKinnon, Lockwood, & Williams, 2004), which has higher power (Fritz & MacKinnon, 2007) and works well for smaller effects and samples (Cheung, 2007).”
Proactive personality, social capital, helping, and turnover intentions (2011, background): “We further examined the significance of mediation relationships (Cheung, 2007).”
Estimating and Comparing Specific Mediation Effects in Complex Latent Variable Models (2012, background): “Although M. W.-L. Cheung (2009) suggests constraining the residual variance of the endogenous variables with the following equation (Cohen & Cohen, 1983, p. 101), 1 X b2i 2 X bibjrij; ð2Þ to provide standardized path coefficients, that only works in simple mediation models with one mediator.”
Advantages of Monte Carlo Confidence Intervals for Indirect Effects (2012, methodology): “In Proceedings of the 23rd Annual Meeting of SAS Users Group International (pp. 997–1002).”
Contemporary approaches to assessing mediation in communication research. (2008, methodology): “Finally, Cheung (2007) describes an elegant and very general method for using SEM to test a variety of mediation effects.”
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).”
A Two-Stage Approach to Synthesizing Covariance Matrices in Meta-Analytic Structural Equation Modeling (2009, methodology): “The LISREL syntax and data manipulation were performed by M. W. L. Cheung (2007b).”
Constructing Approximate Confidence Intervals for Parameters With Structural Equation Models (2009, methodology): “Because likelihood-based CIs (or CIs in general) are not widely reported in psychological research, there are only a limited number of simulation studies comparing the likelihood-based CIs and the Wald CIs relevant to behavioral research (Cheung, in press; Cheung, 2007).”
Monte Carlo Confidence Intervals for Complex Functions of Indirect Effects (2016, methodology): “…2010; Huang, Sivaganesan, Succop, & Goodman, 2004; Muthén & Asparouhov, 2012; Yuan & MacKinnon, 2009), and (f) the likelihood ratio (LR) approach (Cheung, 2007, 2009; Falk & Biesanz, 2015), which is also not discussed here, uses principles of likelihood ratio test (LRT) to compute a CI (Pawitan,…”