Mediation Analysis

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Social Science
Cover of the book Mediation Analysis by Professor Dawn Iacobucci, SAGE Publications
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Professor Dawn Iacobucci ISBN: 9781483342627
Publisher: SAGE Publications Publication: April 1, 2008
Imprint: SAGE Publications, Inc Language: English
Author: Professor Dawn Iacobucci
ISBN: 9781483342627
Publisher: SAGE Publications
Publication: April 1, 2008
Imprint: SAGE Publications, Inc
Language: English

This book covers mediation analysis—the examination of whether an effect of one variable on another is direct or indirect or both. Author Dawn Iacobucci offers thorough coverage of introductory and advanced material as well as conceptual and statistical information. The book begins by introducing arguments of causality, and proceeds to examine current options for analyzing data patterns purported to exhibit meditational structures. Iacobucci shows direct and indirect paths via causal paths, regression, and structural equations models. She also grounds readers in a popular structural equations modeling approach so they can implement the statistical methods discussed in testing for evidence of mediation in a variety of empirical contexts.

Intended Audience

This book is appropriate for any course in regression and correlation, sociological research methods, quantitative research methods, quantitative techniques in Business & Management, Psychology, Political Science, or Public Policy departments.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book covers mediation analysis—the examination of whether an effect of one variable on another is direct or indirect or both. Author Dawn Iacobucci offers thorough coverage of introductory and advanced material as well as conceptual and statistical information. The book begins by introducing arguments of causality, and proceeds to examine current options for analyzing data patterns purported to exhibit meditational structures. Iacobucci shows direct and indirect paths via causal paths, regression, and structural equations models. She also grounds readers in a popular structural equations modeling approach so they can implement the statistical methods discussed in testing for evidence of mediation in a variety of empirical contexts.

Intended Audience

This book is appropriate for any course in regression and correlation, sociological research methods, quantitative research methods, quantitative techniques in Business & Management, Psychology, Political Science, or Public Policy departments.

More books from SAGE Publications

Cover of the book Best Practices in Data Cleaning by Professor Dawn Iacobucci
Cover of the book Evaluation Strategies for Communicating and Reporting by Professor Dawn Iacobucci
Cover of the book Sacred Trust by Professor Dawn Iacobucci
Cover of the book The SAGE Handbook of Housing Studies by Professor Dawn Iacobucci
Cover of the book The SAGE Dictionary of Sports Studies by Professor Dawn Iacobucci
Cover of the book Counseling LGBTI Clients by Professor Dawn Iacobucci
Cover of the book Bakhtin and the Human Sciences by Professor Dawn Iacobucci
Cover of the book Catch a Falling Reader by Professor Dawn Iacobucci
Cover of the book Integrating Qualitative and Quantitative Methods by Professor Dawn Iacobucci
Cover of the book The Sport Star by Professor Dawn Iacobucci
Cover of the book Sustaining Change in Organizations by Professor Dawn Iacobucci
Cover of the book An Introduction to Human Resource Management by Professor Dawn Iacobucci
Cover of the book Building SPSS Graphs to Understand Data by Professor Dawn Iacobucci
Cover of the book Modern Methods for Robust Regression by Professor Dawn Iacobucci
Cover of the book What is Youth Work? by Professor Dawn Iacobucci
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy