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Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Introduction to Mediation, Moderation, and Conditional Process Analysis
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简体网页||繁体网页
Andrew F. Hayes 作者
The Guilford Press
译者
2013-5-6 出版日期
507 页数
USD 66.00 价格
Hardcover
丛书系列
9781609182304 图书编码

Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 图书标签: statistics  统计技术  统计学  概率统计  方法论  【pdf】  methodology  Statistics   

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发表于2024-11-25

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Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 著者简介

Andrew F. Hayes, PhD, is Professor of Quantitative Psychology at The Ohio State University. His research and writing on data analysis has been published widely, and he is the author of Introduction to Mediation, Moderation, and Conditional Process Analysis and Statistical Methods for Communication Science, as well as coauthor, with Richard B. Darlington, of Regression Analysis and Linear Models. Dr. Hayes teaches data analysis, primarily at the graduate level, and frequently conducts workshops on statistical analysis throughout the world. His website is www.afhayes.com.

Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 图书目录

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Introduction to Mediation, Moderation, and Conditional Process Analysis 在线电子书 图书描述

Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known 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 companion website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples.

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