Advanced Statistics for Testing Assumed Causal Relationships - Multiple Regression Analysis Path Analysis Logistic Regression Analysis (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	University of Tehran Science and Humanities Series
Release date:	August 2020
First published:	2020
Authors:	Hooshang Nayebi
Dimensions:	254 x 178mm (L x W)
Format:	Hardcover
Pages:	113
Edition:	1st ed. 2020
ISBN-13:	978-3-03-054753-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Promotions
LSN:	3-03-054753-1
Barcode:	9783030547530

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