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101 0 $aeng
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181   $ctxt$2rdacontent
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200 10$aMultivariate Analysis $eAn Application-Oriented Introduction /$fby Klaus Backhaus, Bernd Erichson, Sonja Gensler, Rolf Weiber, Thomas Weiber
205   $a1st ed. 2021.
210  1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Gabler,$d2021.
215   $a1 online resource (614 pages)
225 1 $aBusiness and Economics (German Language) Series
311 08$a3-658-32588-7 
320   $aIncludes bibliographical references and index.
327   $aIntroduction to empirical data analysis -- Regression analysis -- Analysis of variance -- Discriminant analysis -- Logistic regression -- Contingency analysis -- Factor analysis -- Cluster analysis -- Conjoint analysis.
330   $aData can be extremely valuable if we are able to extract information from them. This is why multivariate data analysis is essential for business and science. This book offers an easy-to-understand introduction to the most relevant methods of multivariate data analysis. It is strictly application-oriented, requires little knowledge of mathematics and statistics, demonstrates the procedures with numerical examples and illustrates each method via a case study solved with IBM?s statistical software package SPSS. Extensions of the methods and links to other procedures are discussed and recommendations for application are given. An introductory chapter presents the basic ideas of the multivariate methods covered in the book and refreshes statistical basics which are relevant to all methods. Contents Introduction to empirical data analysis Regression analysis Analysis of variance Discriminant analysis Logistic regression Contingency analysis Factor analysis Cluster analysis Conjoint analysis The original German version is now available in its 16th edition. In 2015, this book was honored by the Federal Association of German Market and Social Researchers as ?the textbook that has shaped market research and practice in German-speaking countries?. A Chinese version is available in its 3rd edition. On the website www.multivariate-methods.info, the authors further analyze the data with Excel and R and provide additional material to facilitate the understanding of the different multivariate methods. In addition, interactive flashcards are available to the reader for reviewing selected focal points. Download the Springer Nature Flashcards App and use exclusive content to test your knowledge. The authors ((Please insert here the fotographs of authors in order of appearance)) www.multivariate-methods.info.
410  0$aBusiness and Economics (German Language) Series
606   $aMarketing
606   $aStatistics
606   $aPsychology$xMethodology
606   $aMarketing
606   $aStatistics in Business, Management, Economics, Finance, Insurance
606   $aPsychological Methods
615  0$aMarketing.
615  0$aStatistics.
615  0$aPsychology$xMethodology.
615 14$aMarketing.
615 24$aStatistics in Business, Management, Economics, Finance, Insurance.
615 24$aPsychological Methods.
676   $a658.8
700   $aBackhaus$b Klaus$01064495
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910739472103321
996   $aMultivariate analysis$93553575
997   $aUNINA