Asia Pacific University Library catalogue


Applied multivariate statistics for the social sciences : analyses with SAS and IBM's SPSS / Keenan A. Pituch and James P. Stevens.

By: Pituch, Keenan AContributor(s): Stevens, James (James Paul)Material type: TextTextNew 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.
    Average rating: 0.0 (0 votes)
Item type Current library Collection Call number Copy number Status Date due Barcode
General Circulation 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.

There are no comments on this title.

to post a comment.