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Advanced statistics for testing assu...

Nayebi, Hooshang.

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Advanced statistics for testing assumed casual relationships = multiple regression analysis path analysis logistic regression analysis /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced statistics for testing assumed casual relationships/ by Hooshang Nayebi.
Reminder of title:	multiple regression analysis path analysis logistic regression analysis /
Author:	Nayebi, Hooshang.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xii, 113 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.
Contained By:	Springer Nature eBook
Subject:	Multivariate analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-54754-7
ISBN:	9783030547547

Advanced statistics for testing assumed casual relationships = multiple regression analysis path analysis logistic regression analysis /
Nayebi, Hooshang.

Advanced statistics for testing assumed casual relationshipsmultiple regression analysis path analysis logistic regression analysis /[electronic resource] :by Hooshang Nayebi. - Cham :Springer International Publishing :2020. - xii, 113 p. :ill., digital ;24 cm. - University of Tehran science and humanities series,2367-1092. - University of Tehran science and humanities series..

1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.

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.

ISBN: 9783030547547

Standard No.: 10.1007/978-3-030-54754-7doiSubjects--Topical Terms:

517467
Multivariate analysis.

LC Class. No.: QA278 / .N394 2020

Dewey Class. No.: 519.535

Advanced statistics for testing assumed casual relationships = multiple regression analysis path analysis logistic regression analysis /
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505 0 $a 1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.
520 $a 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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