Advanced Statistics for Testing Assumed Causal Relationships
Multiple Regression Analysis Path Analysis Logistic Regression Analysis
Series: University of Tehran Science and Humanities Series;
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Product details:
- Edition number 1st ed. 2020
- Publisher Springer International Publishing
- Date of Publication 16 August 2020
- Number of Volumes 1 pieces, Book
- ISBN 9783030547530
- Binding Hardback
- No. of pages113 pages
- Size 254x178 mm
- Weight 454 g
- Language English
- Illustrations XII, 113 p. 125 illus., 101 illus. in color. Illustrations, black & white 87
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Long description:
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.
MoreTable of Contents:
1. Multiple Regression Analysis.- 2. Path Analysis.- 3. Logistic Regression Analysis.
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