Advanced Statistics for Testing Assumed Causal Relationships

Multiple Regression Analysis Path Analysis Logistic Regression Analysis

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Éditeur :

Springer


Collection :

University of Tehran Science and Humanities Series

Paru le : 2020-08-15



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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.
Pages
113 pages
Collection
University of Tehran Science and Humanities Series
Parution
2020-08-15
Marque
Springer
EAN papier
9783030547530
EAN PDF
9783030547547

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
7834 Ko
Prix
84,39 €
EAN EPUB
9783030547547

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
34161 Ko
Prix
84,39 €