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035   $a(DE-He213)978-3-030-54754-7
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100   $a20200815d2020      u|             0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdvanced Statistics for Testing Assumed Causal Relationships$b[electronic resource] $eMultiple Regression Analysis Path Analysis Logistic Regression Analysis /$fby Hooshang Nayebi
205   $a1st ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (XII, 113 p. 125 illus., 101 illus. in color.) 
225 1 $aUniversity of Tehran Science and Humanities Series,$x2367-1092
311   $a3-030-54753-1 
327   $a1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis.
330   $aThis book concentrates on linear regression, path analysis and logistic regressions, the most used statistical techniques for the test of causal relationships. Its emphasis is on the conceptions and applications of the techniques by using simple examples without requesting any mathematical knowledge. It shows multiple regression analysis accurately reconstructs the causal relationships between phenomena. So, it can be used to test the hypotheses about causal relationships between variables. It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable. It is an advanced statistical text for the graduate students in social and behavior sciences. It also serves as a reference for professionals and researchers.
410  0$aUniversity of Tehran Science and Humanities Series,$x2367-1092
606   $aStatistics 
606   $aMathematics
606   $aSocial sciences
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aApplied Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/S17000
606   $aMathematics in the Humanities and Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M32000
606   $aApplications of Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M13003
606   $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001
615  0$aStatistics .
615  0$aMathematics.
615  0$aSocial sciences.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aApplied Statistics.
615 24$aMathematics in the Humanities and Social Sciences.
615 24$aApplications of Mathematics.
615 24$aStatistical Theory and Methods.
676   $a519.535
700   $aNayebi$b Hooshang$4aut$4http://id.loc.gov/vocabulary/relators/aut$0943098
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996418270003316
996   $aAdvanced Statistics for Testing Assumed Causal Relationships$92128322
997   $aUNISA