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  <title>Multivariate Data Analysis</title>
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  <namePart>Hair, Joseph F.</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
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  <namePart>Anderson, Rolph E.</namePart>
  <role>
   <roleTerm type="text">Primary Author</roleTerm>
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  <namePart>Black, William C.</namePart>
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   <placeTerm type="text">Harlow</placeTerm>
   <publisher>Pearson</publisher>
   <dateIssued>2014</dateIssued>
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  <languageTerm type="code">en</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <extent>ii, 734 p. : Illust. ; 28 cm</extent>
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 <note>For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.</note>
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 <subject authority="">
  <topic>Multivariate Analysis</topic>
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  <topic>Multivariate analysis--Data processing</topic>
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 <classification>519.535</classification>
 <identifier type="isbn">9781292021904</identifier>
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