Flew in to phili at noon and on the way to the airport flying back out… gave a symposium in between… but I also wish I could see more of the conference and of Philadelphia, seems like a cool town…
Here’s to “The Dude”… I love that Jeff Bridges seems like he is “The Dude” in real life, except with a job…
The variance of any given variable is simply its standard deviation squared… Thus, the standard deviation is the square-root of the variance…
The conceptual differences between mediators, moderators, and suppressors are explained in an easy to understand, and hopefully entertaining, video. The video is presented by Jeremy J. Taylor, of Vary Your Stats Consulting. www.varyyourstats.com
Dr. Grayson Holmbeck discusses both mediators and moderators, in the context of both regression and path analysis.
Key Journal Articles
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations, Journal of Personality & Social Psychology (Vol. 51, pp. 1173-1182).
Cole, D. A., & Maxwell, S. E. (2003). Testing Mediational Models With Longitudinal Data: Questions and Tips in the Use of Structural Equation Modeling. Journal of Abnormal Psychology, 112(4), 558-577.
Holmbeck, G. N. (1997). Toward terminological, conceptual, and statistical clarity in the study of mediators and moderators: Examples from the child-clinical and pediatric psychology literatures. Journal of Consulting and Clinical Psychology, 65(4), 599-610
MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1(4), 173-181.
MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7(1), 83-104.
Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments & Computers, 36(4), 717-731.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.
Preacher, K. J., Rucker, D. D., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185-227.