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  • SPSS, SAS, and R Macros and Code - Andrew F. Hayes, Ph. D.
    PROCESS is a macro for SPSS, SAS, and R that conducts observed-variable mediation, moderation, and conditional process analysis It is documented in Appendices A and B of Hayes (2022) PROCESS can be found at www processmacro org
  • Introduction to Mediation, Moderation, and Conditional Process Analysis . . .
    Introduction to Mediation, Moderation, and Conditional Process Analysis describes the foundation of mediation and moderation analysis as well as their analytical integration in the form of "conditional process analysis", with a focus on PROCESS for SPSS SAS, and R (#processmacro) as the tool for
  • Hayes, A. F. , Preacher, K. J. (2014). “Statistical Mediation Analysis . . .
    PROCESS is a freely-available regression-based path analysis macro for both SPSS and SAS that estimates the model coefficients in mediation and moderation models of various forms while also providing modern inferential methods for inference about indirect effects including
  • This supplement to Hayes, A. F. (2018). Partial, conditional, and . . .
    Hayes, A F (2018) Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation Communication Monographs contains versions of Appendices 1, 2, and 3 with PROCESS code and output from version 2 rather than version 3 Version 3 was publicly released in December 2017 The indices of partial,
  • Andrew F. Hayes, Ph. D. - Home
    Check out Regression Analysis and Linear Models, co-authored with Richard Darlington, or the 3rd edition of Introduction to Mediation, Moderation, and Conditional Process Analysis The 3rd edition was released in January 2022 and includes support for the R version of PROCESS
  • Regression Analysis and Linear Models - Andrew F. Hayes, Ph. D.
    PROCESS macro for SPSS, SAS, and R SPSS, SAS, and R Macros and Code Video Skeets
  • Mechanisms and Contingencies Lab - Andrew F. Hayes, Ph. D.
    That is, deeper understanding of a phenomenon is enhanced by quantification of and inference about the process or processes underlying a causal effect and its contingencies
  • PROCESS for SPSS and SAS - Andrew F. Hayes, Ph. D.
    10 January 2016 PROCESS v2 15 released This release adds a new feature to model 1 for estimating moderation and probing interactions when X or M is multicategorical (three or more levels) Multicategorical X variables are also now available as an option in model 4 In addition, PROCESS will now
  • Video - Andrew F. Hayes, Ph. D.
    Here are some excerpts of the videos available in my online and on demand courses on Mediation, Moderation, and Conditional Process Analysis offered by the Canadian Centre for Research Analysis and Methods
  • ADVANCES IN WITHIN-SUBJECT MEDIATION ANALYSIS - Andrew F. Hayes, Ph. D.
    Based on Montoya, A K , Hayes, A F (2015) Two-condition within-participant statistical mediation analysis: A path-analytic framework In review (first R R) at Psychological Methods The many details skipped due to time constraints are available in the paper, downloadable from the Mechanisms and Contingencies Lab web page at www afhayes com





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