Moderation (Interaction Effect) Material
- Interaction Utilities to accompany Bauer & Curran (2006), Curran, Bauer, & Willoughby (2006), and Preacher, Curran, & Bauer (2006) papers on probing interaction effects.
- A primer on understanding interpreting interaction effects in multiple linear regression.
- Simulation appendix and Supplementary Mplus code to accompany Preacher, Zhang, & Zyphur (2016) paper on multilevel moderation.
Mediation (Indirect Effect) Material
- Online appendices A and B to accompany Deboeck & Preacher (2016) paper on continuous time mediation.
- Appendix A (standard error derivations) and Appendix B (BUGS and Mplus code) to accompany Wang & Preacher (2015) paper on Bayesian moderated mediation.
- Bibliography to accompany Preacher (2015) survey and synthesis paper on new developments in mediation.
- Supplemental materials to accompany Hayes & Preacher (2014) paper on mediation with multicategorical predictors.
- Online appendix and R and Mplus syntax, output, and data files to accompany Lachowicz, Sterba, & Preacher (2015) paper on mediation in fully and partially nested designs.
- R package MBESS contains several utilities to accompany Preacher & Kelley (2011) paper on effect size in mediation.
- SPSS macro to accompany Hayes & Preacher (2010) paper on nonlinear mediation.
- SPSS macro (for three-path mediator models) to accompany Hayes, Preacher, & Myers (2010) chapter.
- Monte Carlo calculator for creating sampling distributions and confidence intervals for indirect effects.
- Monte Carlo calculator for creating sampling distributions and confidence intervals for indirect effects in 1-1-1 multilevel models.
- SPSS and SAS macros to accompany Preacher & Hayes (2004) paper on mediation.
- SPSS macro and Mathematica code to accompany Preacher, Rucker, & Hayes (2007) on moderated mediation models.
- SPSS and SAS macros to accompany Preacher & Hayes (2008) on multiple mediator models.
- Supplemental material to accompany Preacher and Hayes (2008) paper on multiple mediation models.
- Sobel test calculator for simple mediation effects.
- Mplus syntax to accompany Selig & Preacher (2009) paper on longitudinal mediation.
- Supplemental material for publications to accompany Bauer, Preacher, & Gil (2006) paper on multilevel mediation, including example SAS code, a SAS macro for testing random indirect effects, and a simulated data file. This material is also available for SPSS and HLM.
- Supplemental material for publications to accompany Zhang, Zyphur, & Preacher (2009) paper on multilevel mediation, including example Stata code.
- Supplemental material for publications to accompany Preacher, Zyphur, & Zhang (2010) and Preacher, Zhang, & Zyphur papers on multilevel mediation, including example Mplus code.
- Supplemental material for publications to accompany Preacher, Dunkley, & Zuroff (2010) talk on multilevel mediation, including example Mplus code.
- Example 1, example 2, and example 3 Mplus syntax for Preacher (2011) paper on three-level MSEM models for mediation analysis.