Mediation Analysis

Moderated mediation plot based on User's Guide ex 3.18

• Loop plot for ex 3.18
• Loop plot using R
• Simple slopes testing
• Moderated mediation plot based on User's Guide ex 3.18 using the Version 7.2 MODEL INDIRECT language

Migrating from Hayes’ PROCESS to Mplus

• Chris Stride's mediation page
• Stride, C.B., Gardner, S.E., Catley, N. & Thomas, F. (2015). Mplus code for mediation, moderation and moderated mediation models. (Mplus examples and code).
• Does the indirect effect depend on the moderator? Index proposed by Hayes (2015) with Mplus code:
  • Hayes, A.F. (2015). An Index and Test of Linear Moderated Mediation. Multivariate Behavioral Research, 50(1), 1-22. doi: 10.1080/00273171.2014.962683

• Cross-level simple slope plotted by LOOP
• Cross-level moderated effect plotted by LOOP (UG ex 9.2)

Two-level mediation with random slopes

• Two-level mediation
• Preacher et al. multilevel mediation inputs
• Preacher et al. multilevel mediation inputs, second set (second input set corresponds to this paper)

Twolevel 1-1-1 moderated mediation

• Twolevel 1-1-1 moderated mediation

Counterfactual causal effects for mediation modeling

• Muthén, B., Muthén, L. & Asparouhov, T. (2016). Regression And Mediation Analysis Using Mplus. Los Angeles: Muthén & Muthén.
  
  
• Nguyen, T.Q., Webb-Vargas, 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, 368-383 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
  
  
• 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), 12-23. DOI:10.1080/10705511.2014.935843
  
  
• Muthén, B. (2011). Applications of causally defined direct and indirect effects in mediation analysis using SEM in Mplus. View the Technical appendix. View the Input appendix. View Mplus inputs, data, and outputs used in this paper.

Mediation Workshop

• Topic 11, Regression and Mediation Analysis YouTube playlist, (August 16, 2017).
• Topic 11 workshop slides.

General papers using Mplus

• McLarnon, M.J.W. & O'Neill, T.A. (2018). Extensions of auxiliary variable approaches for the investigation of mediation, moderation, and conditional effects in mixture models. Organizational Research Methods, 21(4), 955-982. DOI: 10.1177/1094428118770731
  
  
• Feingold, A., MacKinnon, D.P., & Capaldi, D.M. (2018). Mediation analysis with binary outcomes: Direct and indirect effects of proalcohol influences on alcohol use disorders. Addictive Behaviors. DOI: 10.1016/j.addbeh.2018.12.018
  
  
• Asparouhov, T. & Muthén, B. (2018). Latent variable centering of predictors and mediators in multilevel and time-series models. Structural Equation Modeling: A Multidisciplinary Journal, DOI: 10.1080/10705511.2018.1511375 (Download scripts).
  
  
• Preacher, K.J., Zhang, Z. & Zyphur, M.J. (2016). Multilevel structural equation models for assessing moderation within and across levels of analysis. Psychological Methods. 21(2), 189-205. DOI: 10.1037/met0000052
  
  
• 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, 20(4) 746-769. 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), 249-263. DOI: 10.1080/10705511.2014.935256

FAQs

• Mediation effects using a 4-way decomposition
• Mediation effects with ordinal outcome

For more information, visit our General Description page.