Lauded for its easy-to-understand conversational discussion of the fundamentals of mediation moderation and conditional process analysis this book has been fully revised with 50% new content including sections on working with multicategorical antecedent variables the use of PROCESS version 3 for SPSS and SAS for model estimation and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct indirect and conditional effectsprobe and visualize interactionstest questions about moderated mediationand report different types of analyses. Data for all the examples are available on the companion website () along with links to download PROCESS.New to This Edition*Chapters on using each type of analysis with multicategorical antecedent variables.*Example analyses using PROCESS v3 with annotated outputs throughout the book.*More tips and advice including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediationeffect size in mediation analysiscomparing conditional effects in models with more than one moderatorusing R code for visualizing interactionsdistinguishing between testing interaction and probing itand more.*Rewritten Appendix A which provides the only documentation of PROCESS v3 including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation.*Appendix B describing how to create customized models in PROCESS v3 or edit preprogrammed models.Read more
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