Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Introduction to Mediation, Moderation, and Conditional Process Analysis

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Andrew F. Hayes 作者
The Guilford Press
譯者
2013-5-6 出版日期
507 頁數
USD 66.00 價格
Hardcover
叢書系列
9781609182304 圖書編碼

Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 圖書標籤: statistics  統計技術  統計學  概率統計  方法論  【pdf】  methodology  Statistics   


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發表於2024-06-29

Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 著者簡介

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 在線電子書 著者簡介


Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Introduction to Mediation, Moderation, and Conditional Process Analysis 在線電子書 圖書描述

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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