Advanced Statistics for Testing Assumed Causal Relationships
Language: English
Published by Springer, Palgrave Macmillan Aug 2021, 2021
Series: Book 4 of 5 - University of Tehran Science and Humanities
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
£ 73.47
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Add to basketItem description from seller
This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.…
Seller Inventory # 9783030547561
- Title
- Advanced Statistics for Testing Assumed Causal Relationships
- Author
- Hooshang Nayebi
- Publisher
- Springer, Palgrave Macmillan Aug 2021
- Publication year
- 2021
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3030547566
- ISBN 13
- 9783030547561
- Item weight
- 257 grams
- Dimensions
- 254x178x8 mm
- 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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buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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