Hayes, Andrew F. <br/><br/>
Introduction to mediation, moderation, and conditional process analysis :  a regression-based approach ; Series editor's by Todd D. Little 
Andrew F. Hayes 
 - 2nd ed. 
 - New York :  Guilford Publications,  c2018. 
 - xx, 692 p. :  ill. ;   27 cm. 
 - Methodology in the Social Sciences .
<br/><br/> Description based upon print version of record. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781462534654 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Social sciences--Statistical methods<br/>Mediation (Statistics)<br/>Regression analysis
<br/><br/><label>Dewey Class. No.: </label>001.422 HA IN