Introduction to mediation, moderation, and conditional process analysis : a regression-based approach / Andrew F. Hayes.
Material type:
- 9781462549030
- 001.4/22 23
- HA31.3 .H39 2022
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Martin Oduor-Otieno Library This item is located on the library first floor | Non-fiction | HA31.3 .H39 2022 (Browse shelf(Opens below)) | 30556/22 | Available | MOOL22080081 |
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HA29 .W622 1977 Introductory statistics for business and economics / | HA30.3 T76 2010 Analysis of financial time series / | HA31.2 .A5195 2012 Designing & doing survey research / | HA31.3 .H39 2022 Introduction to mediation, moderation, and conditional process analysis : a regression-based approach / | HA32 B79 2011 Quantitative data analysis with IBM SPSS 17, 18 and 19 : a guide for social scientists / | HA32 .F54 2013 Discovering statistics using IBM SPSS statistics : | HA32 .G737 2003 Using SPSS for Windows and Macintosh : |
Includes bibliographical references and index.
"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 ([ital]www.afhayes.com[/ital]), along with links to download PROCESS"--
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