· 2012
Applied Multivariate Statistics for the Social Sciences
- 10,705citations
- 2012year
Short summary
This is a textbook designed for social science students and researchers who need to apply advanced statistical methods without necessarily developing them.
AI-generated from the title and abstract; the full text is not read.
Key points
- Focuses on conceptual understanding and application of multivariate statistics.
- Includes practical examples and annotated SPSS/SAS printouts for interpretation.
- Emphasizes data checking, assumption assessment, and sample size for generalizability.
- New edition includes a CD-ROM with datasets and exercises.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source., 2012 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics