Moderated mediation plot based on User's Guide ex 3.18
Crosslevel interaction (twolevel moderation) plot
Twolevel mediation with random slopes
Counterfactual causal effects for mediation modeling
 Nguyen, T.Q., WebbVargas, Y., Koning, I.K. & Stuart, E.A. (2016). Causal mediation analysis with a binary outcome and multiple continuous or ordinal mediators: Simulations and application to an alcohol intervention.
Structural Equation Modeling: A Multidisciplinary Journal, 23:3, 368383 DOI: 10.1080/10705511.2015.1062730
 De Stavola, B. L., Daniel, R. M., Ploubidis, G. B. & Micali, N. (2015). Mediation analysis with intermediate confounding: Structural equation modeling viewed through the causal inference lens.
American Journal of Epidemiology. DOI: 10.1093/aje/kwu239 Click here to download the paper.
 Muthén, B. & Asparouhov T. (2015). Causal effects in mediation modeling: An introduction with applications to latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 22(1), 1223. DOI:10.1080/10705511.2014.935843
Click here to download the paper.
 Muthén, B. (2011). Applications of causally defined direct and indirect effects in mediation analysis using SEM in Mplus.
Click here to download the paper.
Click here to view the Technical
appendix that goes with this paper and click here
for the Mplus input appendix. Click here to view Mplus inputs, data, and outputs used in this paper.
General papers using Mplus
 Cheung, G.W. & Lau, R.S. (2015). Accuracy of parameter estimates and confidence intervals in moderated mediation models: A comparison of regression and latent moderated structural equations.
Organazational Research Methods. DOI: 10.1177/1094428115595869
 Wang, L., and Preacher, K. J. (2014). Moderated mediation analysis using Bayesian methods.
Structural Equation Modeling: A Multidisciplinary Journal. 22(2), 249263. DOI: 10.1080/10705511.2014.935256
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