Causality in a Social World

Moderation, Mediation and Spill-over

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Causality in a Social World by Guanglei Hong, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Guanglei Hong ISBN: 9781119030607
Publisher: Wiley Publication: June 9, 2015
Imprint: Wiley Language: English
Author: Guanglei Hong
ISBN: 9781119030607
Publisher: Wiley
Publication: June 9, 2015
Imprint: Wiley
Language: English

Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data.

The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory.

Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

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

Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data.

The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory.

Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

More books from Wiley

Cover of the book Atomic Structure Prediction of Nanostructures, Clusters and Surfaces by Guanglei Hong
Cover of the book Aircraft Propulsion by Guanglei Hong
Cover of the book Relational Intelligence by Guanglei Hong
Cover of the book Swaps and Other Derivatives by Guanglei Hong
Cover of the book Golf For Dummies by Guanglei Hong
Cover of the book The Brand IDEA by Guanglei Hong
Cover of the book Corporate Fraud Handbook by Guanglei Hong
Cover of the book Protein Phosphorylation in Parasites by Guanglei Hong
Cover of the book Differentiated Instruction for the Middle School Science Teacher by Guanglei Hong
Cover of the book Lecture Notes: Clinical Pharmacology and Therapeutics by Guanglei Hong
Cover of the book The Inner Enemies of Democracy by Guanglei Hong
Cover of the book Physics and Technology of Crystalline Oxide Semiconductor CAAC-IGZO by Guanglei Hong
Cover of the book Banking Systems Simulation by Guanglei Hong
Cover of the book Computer Games and the Social Imaginary by Guanglei Hong
Cover of the book The Hands-on Guide for Junior Doctors by Guanglei Hong
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