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100   $a20180706d2018      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aUnderstanding Multivariate Research $eA Primer For Beginning Social Scientists /$fWilliam Berry (Florida State University), Mitchell S. Sanders (Florida State University)
205   $aFirst edition.
210  1$aLondon :$cTaylor and Francis,$d2018.
215   $a1 online resource (105 p.)
300   $aDescription based upon print version of record.
311   $a0-8133-9971-8 
320   $aIncludes bibliographical references and index.
327   $aContents; Tables and Figures; Preface for Teachers and Students; Acknowledgments; 1 Introduction; 2 The Bivariate Regression Model; 3 The Multivariate Regression Model; 4 Evaluating Regression Results; 5 Some Illustrations of Multiple Regression; 6 Advanced Topics; 7 Conclusion; Glossary; References; Index
330   $a"Although nearly all major social science departments offer graduate students training in quantitative methods, the typical sequencing of topics generally delays training in regression analysis and other multivariate techniques until a student's second year. William Berry and Mitchell Sanders's Understanding Multivariate Research fills this gap with a concise introduction to regression analysis and other multivariate techniques. Their book is designed to give new graduate students a grasp of multivariate analysis sufficient to understand the basic elements of research relying on such analysis that they must read prior to their formal training in quantitative methods. Berry and Sanders effectively cover the techniques seen most commonly in social science journals--regression (including nonlinear and interactive models), logit, probit, and causal models/path analysis. The authors draw on illustrations from across the social sciences, including political science, sociology, marketing and higher education. All topics are developed without relying on the mathematical language of probability theory and statistical inference. Readers are assumed to have no background in descriptive or inferential statistics, and this makes the book highly accessible to students with no prior graduate course work."--Provided by publisher.
606   $aSocial sciences$xResearch$xMethodology
606   $aMultivariate analysis
606   $aRegression analysis
615  0$aSocial sciences$xResearch$xMethodology.
615  0$aMultivariate analysis.
615  0$aRegression analysis.
676   $a300/.7/2
700   $aBerry$b William$0107003
702   $aSanders$b Mitchell S.
801  0$bFlBoTFG
801  1$bFlBoTFG
906   $aBOOK
912   $a9910819248303321
996   $aUnderstanding Multivariate Research$94009219
997   $aUNINA