Applied Multivariate Statistics for the Social Sciences, Fifth Edition
Seiten
2001
|
4th New edition
Lawrence Erlbaum Associates Inc (Verlag)
978-0-8058-3776-6 (ISBN)
Lawrence Erlbaum Associates Inc (Verlag)
978-0-8058-3776-6 (ISBN)
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Written for those using, rather than developing advanced statistical methods, this text focuses on a conceptual understanding of the material rather than attempting to prove the results.
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.
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.
Contents: Preface. Introduction. Matrix Algebra. Multiple Regression. Two-Group Multivariate Analysis of Variance. K Group MANOVA: A Priori and Post Hoc Procedures. Assumptions in MANOVA. Discriminant Analysis. Factorial Analysis of Variance. Analysis of Covariance. Stepdown Analysis. Confirmatory and Exploratory Factor Analysis. Canonical Correlation. Repeated Measures Analysis. Categorical Data Analysis: The Log Linear Model. Appendices: Statistical Tables. Data Sets. Obtaining Nonorthogonal Contrasts in Repeated Measures Designs.
| Erscheint lt. Verlag | 12.9.2001 |
|---|---|
| Verlagsort | Mahwah |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 1249 g |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Statistik |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 0-8058-3776-0 / 0805837760 |
| ISBN-13 | 978-0-8058-3776-6 / 9780805837766 |
| Zustand | Neuware |
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