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"This timely, accessible reference and text addresses some of the most fundamental questions about human behavior, such as what causes racism and prejudice and why good people do bad things. Leading authorities present state-of-the-science theoretical and empirical work. Essential themes include the complex interaction of individual, societal, and situational factors underpinning good or evil behavior; the role of moral emotions, unconscious bias, and the self-concept; issues of responsibility and motivation; and how technology and globalization have enabled newer forms of threat and harm. Key Words/Subject Areas: aggression, altruism, antisocial, evil, free will, good, guilt, heroism, human behavior, morality, prejudice, prosocial, racism, shame, social psychology, stereotyping, terrorism, values, violence Audience: Students and researchers in social psychology; also of interest to sociologists. "--

"This book is designed to help researchers better design and analyze observational data from quasi-experimental studies and improve the validity of research on causal claims. It provides clear guidance on the use of different propensity score analysis (PSA) methods, from the fundamentals to complex, cutting-edge techniques. Experts in the field introduce underlying concepts and current issues and review relevant software programs for PSA. The book addresses the steps in propensity score estimation, including the use of generalized boosted models, how to identify which matching methods work best with specific types of data, and the evaluation of balance results on key background covariates after matching. Also covered are applications of PSA with complex data, working with missing data, controlling for unobserved confounding, and the extension of PSA to prognostic score analysis for causal inference. User-friendly features include statistical program codes and application examples"--

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 effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), 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 mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderator; using R code for visualizing interactions; distinguishing between testing interaction and probing it; and 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.