|aIntroduction to mediation, moderation, and conditional process analysis :|b a regression-based approach /|c Andrew F. Hayes.
|aNew York :|bThe Guilford Press,|c2013.
|aNew York :|bThe Guilford Press,|c
|axvii, 507 pages :|billustrations ;|c27 cm.
|aMethodology in the social sciences
|a"Series editor's note by Todd D. Little."
|aIncludes bibliographical references (pages 461-483) and indexes.
|aPart I. Fundamental concepts -- Simple linear regression -- Multiple linear regression -- Part II. Mediation analysis -- The simple mediation model -- Multiple mediator models -- Miscellaneous topics in mediation analysis -- Part III. Moderation analysis -- Fundamentals of moderation analysis -- Extending moderation analysis principles -- Miscellaneous topics in moderation analysis -- Part IV. Conditional process analysis -- Fundamentals of conditional process analysis -- Further examples of conditional process analysis -- Miscellaneous topics in conditional process analysis.
內容簡介top Introduction to Mediation, Moderation, and Conditional Process Analysis 簡介 This engaging book explains the fundamentals of mediation and moderation analysis and their integration as "conditional process analysis." Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book. The author's website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples.