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＜電子ブック＞
Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / by Hooshang Nayebi
(University of Tehran Science and Humanities Series. ISSN:23671106)

版	1st ed. 2020.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2020
大きさ	XII, 113 p. 125 illus., 101 illus. in color : online resource
著者標目	*Nayebi, Hooshang author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Mathematics LCSH:Social sciences LCSH:Multivariate analysis FREE:Applied Statistics FREE:Mathematics in the Humanities and Social Sciences FREE:Applications of Mathematics FREE:Multivariate Analysis
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-3-030-54754-7

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