Advanced Statistics for Testing Assumed Causal Relationships

Advanced Statistics for Testing Assumed Causal Relationships
Author :
Publisher : Springer Nature
Total Pages : 125
Release :
ISBN-10 : 9783030547547
ISBN-13 : 303054754X
Rating : 4/5 (47 Downloads)

Book Synopsis Advanced Statistics for Testing Assumed Causal Relationships by : Hooshang Nayebi

Download or read book Advanced Statistics for Testing Assumed Causal Relationships written by Hooshang Nayebi and published by Springer Nature. This book was released on 2020-08-15 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.


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