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Stevens, James - Applied multivariate statistics for the social sciences.
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| Schrijver: | Stevens, James |
|---|---|
| Titel: | Applied multivariate statistics for the social sciences. |
| ISBN: | 9780805816716 |
| Uitgever: | Lawrence Erlbaum Associates, Publishers, Mahwah, New Jersey. |
| Bijzonderheid: | 1996, paperback, 659 pp. Third edition. |
| Prijs: | € 15,00 |
| Meer info | 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 of the major statistical packages, with annotations to indicate what the numbers mean, 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 book is noted for its: - extensive applied coverage of MANOVA; - complete annotated control lines for every analysis; - emphasis on the assumptions underlying the analyses and how to use statistical packages to test these assumptions; - special attention to statistical power, including numerous tables; - warnings about the danger of capitalization on chance and the need for large samples for reliable results; and - numerous conceptual, numerical, and computer-related exercises, including answers for half. The new edition features a CD-ROM with the data sets, updated material on SPSS and SAS throughout the book, 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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