Advanced Statistics for Testing Assumed Causal Relationships Multiple Regression Analysis Path Analysis Logistic Regression Analysis
Language: English
Published by Palgrave Macmillan, 2020
Series: Book 4 of 5 - University of Tehran Science and Humanities
- Hardcover
- New
Condition: New
£ 126.54
Quantity: 2 available
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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. Sprache: Englisch Gewicht in Gramm: 388.…
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- Title
- Advanced Statistics for Testing Assumed Causal Relationships Multiple Regression Analysis Path Analysis Logistic Regression Analysis
- Author
- Hooshang Nayebi
- Publisher
- Palgrave Macmillan
- Publication year
- 2020
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 3030547531
- ISBN 13
- 9783030547530
- Item weight
- 388 grams
- Series
- Book 4 of 5: University of Tehran Science and Humanities
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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