03618nam 22006375 450 99641827000331620201223233338.03-030-54754-X10.1007/978-3-030-54754-7(CKB)4100000011389908(DE-He213)978-3-030-54754-7(MiAaPQ)EBC6305331(PPN)25021606X(EXLCZ)99410000001138990820200815d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvanced Statistics for Testing Assumed Causal Relationships[electronic resource] Multiple Regression Analysis Path Analysis Logistic Regression Analysis /by Hooshang Nayebi1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XII, 113 p. 125 illus., 101 illus. in color.) University of Tehran Science and Humanities Series,2367-10923-030-54753-1 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.University of Tehran Science and Humanities Series,2367-1092StatisticsĀ MathematicsSocial sciencesApplied mathematicsEngineering mathematicsApplied Statisticshttps://scigraph.springernature.com/ontologies/product-market-codes/S17000Mathematics in the Humanities and Social Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/M32000Applications of Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M13003Statistical Theory and Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/S11001StatisticsĀ .Mathematics.Social sciences.Applied mathematics.Engineering mathematics.Applied Statistics.Mathematics in the Humanities and Social Sciences.Applications of Mathematics.Statistical Theory and Methods.519.535Nayebi Hooshangauthttp://id.loc.gov/vocabulary/relators/aut943098MiAaPQMiAaPQMiAaPQBOOK996418270003316Advanced Statistics for Testing Assumed Causal Relationships2128322UNISA