![]() ![]() Label Introduction to mediation, moderation, and conditional process analysis : a regression-based approach, Andrew F. Series statement Methodology in the Social Sciences Member ofĪssigning source Provided by publisher Hayes, Andrew F Illustrations illustrations Index index present Literary form non fiction Nature of contents bibliography Little, Todd D. Hayes shows how to estimate and interpret direct, indirect, and conditional effects probe and visualize interactions test questions about moderated mediation and report different types of analyses. 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. Using the principles of ordinary least squares regression, Andrew F. Language eng Summary 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. Little Title variation Mediation, moderation, and conditional process analysis Creator Label Introduction to mediation, moderation, and conditional process analysis : a regression-based approach Title Introduction to mediation, moderation, and conditional process analysis Title remainder a regression-based approach Statement of responsibility Andrew F.
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