Researchers often conduct mediation analysis in order to indirectly assess the effect of a proposed cause on some outcome through a proposed mediator. If you have used PROCESS prior to December 2017 and found it useful, I recommend upgrading to version 3. Behavior Research Methods, 40, 879-891. Hayes (2013) and Preacher et al (2007) provide the theoretical background and framework for moderated mediation. Andrew F. Hayes Ohio State University, Columbus, Ohio. Baron, Reuben M., and David A. Kenny (1986), “Moderator-Mediator Variables Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations,” Journal of Personality and Social Psychology, 15 (6), 1173-1182. They also provide an SPSS script that computes conditional indirect effects and their standard errors in two different ways. Preacher, K. J., & Hayes, A. F. (2004). Behavior Research Methods. You can also read about this in Hayes, A. F., & Preacher, K. J. Hypotheses involving mediation are common in the behavioral sciences. (2014). 2008, 40 (3), 879-891 doi: 10.3758/BRM.40.3.879. PROCESS version 2, introduced in 2013 in the first edition of Introduction to Mediation, Moderation, and Conditional Process Analysis (the cover of the first edition is blue; the second edition is white) is no longer available or supported. For a discussion of mediation analysis with a multicategorical independent variable, see Chapter 6 of the second edition of Introduction to Mediation, Moderation, and Conditional Process Analysis. Preacher, K. J., & Hayes, A. F. (2008). Link to PDF on Hayes website Also see Hayes's Facebook page Multiple mediation using bootstrapping in SPSS Created by Natalie J. Loxton Page 1
It is not all that difficult to compute the indirect effects. The utility of mediation analysis stems from its ability to go beyond the merely descriptive to a more functional understanding of the relationships among variables. Statistical mediation analysis with a multicategorical independent variable. SPSS and SAS procedures for estimating indirect effects in simple mediation models. Kristopher J. References. Preacher University of Kansas, Lawrence, Kansas and.

Preacher University of Kansas , Derek D. Rucker Northwestern University & Andrew F. Hayes The Ohio State University Pages 185-227 Published online: 05 Dec 2007 ... Those wishing more information on this macro and/or mediation etc are advised to refer to the Hayes website or the Facebook mediation website Keywords: Mediation analysis, Baron and Kenny, Preacher and Hayes, Malaysia, MySEM INTRODUCTION Mediational designs are at the heart of social science and business research, often referred to as Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models Kristopher J. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.