Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS / Keenan A. Pituch and James P. Stevens.
Material type: TextNew York ; Abingdon : Routledge, c2016Edition: 6th editionDescription: xx, 793 pages : illustration ; 26 cmISBN: 9780415836661; 9780415836654Subject(s): Multivariate analysis | Social sciences -- Statistical methodsLOC classification: QA278 | .S74 2016Summary: Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally.Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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General Circulation | APU Library Open Shelf | Book | QA278 .S74 2016 c.1 (Browse shelf (Opens below)) | 1 | Available | 00012797 |
Previous edition by James P. Stevens.
Includes index.
Now in its 6th edition, the authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies. With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally.
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