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Applied Multivariate Statistics for the Social Sciences

Stevens, James P.·2012·Routledge eBooks

Abstract

This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use the packages effectively, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size (by providing guidelines) so that the results can be generalized. The new edition features a CD-ROM with the data sets and many new exercises. Ideal for courses on advanced or multivariate statistics found in psychology, education, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial analysis of variance. It does not assume a working knowledge of matrix algebra.

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Metadata

Authors
Stevens, J. P.
Venue
Routledge eBooks
Publisher
Routledge
Published
2012-11-12
OpenAlex
W2085067988
Cited by
10,648
References
0
FWCI
170.45
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Applied Multivariate Statistics for the Social Sciences. https://app.cochat.ai/papers/10.4324/9780203843130
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Stevens, J. P. (2012). Applied Multivariate Statistics for the Social Sciences. Routledge eBooks. https://doi.org/10.4324/9780203843130

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.