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Advanced statistics for testing assu...
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Nayebi, Hooshang.
Advanced statistics for testing assumed casual relationshipsmultiple regression analysis path analysis logistic regression analysis /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advanced statistics for testing assumed casual relationshipsby 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.
Contained By:
Springer Nature eBook
Subject:
Multivariate analysis.
Online resource:
https://doi.org/10.1007/978-3-030-54754-7
ISBN:
9783030547547$q(electronic bk.)
Advanced statistics for testing assumed casual relationshipsmultiple regression analysis path analysis logistic regression analysis /
Nayebi, Hooshang.
Advanced statistics for testing assumed casual relationships
multiple regression analysis path analysis logistic regression analysis /[electronic resource] :by Hooshang Nayebi. - Cham :Springer International Publishing :2020. - xii, 113 p. :ill., digital ;24 cm. - University of Tehran science and humanities series,2367-1092. - University of Tehran science and humanities series..
1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.
This book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.
ISBN: 9783030547547$q(electronic bk.)
Standard No.: 10.1007/978-3-030-54754-7doiSubjects--Topical Terms:
181905
Multivariate analysis.
LC Class. No.: QA278 / .N394 2020
Dewey Class. No.: 519.535
Advanced statistics for testing assumed casual relationshipsmultiple regression analysis path analysis logistic regression analysis /
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EB QA278 .N331 2020 2020
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https://doi.org/10.1007/978-3-030-54754-7
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