IBM SPSS Statistics 19 Statistical Procedures Companion
Pearson
978-0-321-74842-3 (ISBN)
- Titel ist leider vergriffen;
keine Neuauflage - Artikel merken
IBM SPSS Statistics 19 Statistical Procedures Companion covers various statistical procedures in IBM SPSS Statistics. This book also contains introductory chapters on using the software, creating and cleaning data files, testing hypotheses, and describing data.
Marija Norušis earned a PhD in biostatistics from the University of Michigan. She was SPSS's first professional statistician. During this time, she wrote her first book, The SPSS Introductory Guide. Since then she has written numerous volumes of highly acclaimed SPSS documentation, and textbooks that demystify statistics and SPSS. Dr. Norušis has been on the faculties of the University of Chicago and Rush Medical College, teaching statistics to diverse audiences. When not working on SPSS guides, Marija analyzes real data as a statistical consultant. For more detailed information about Dr. Norušis and her SPSS guides, visit her website at www.norusis.com.
PART 1
1. Introduction
2. Getting to Know IBM SPSS Statistics
3. Introducing Data
4. Preparing Your Data
5. Transforming Your Data
6. Describing Your Data
7. Testing Hypotheses
8. T Tests
9. One-Way Analysis of Variance
10. Crosstabulation
11. Correlation
12. Bivariate Linear Regression
13. Multiple Linear Regression
14 Automatic Linear Modeling
15. Discriminant Analysis
16. Logistic Regression Analysis
17. Cluster Analysis
18. Factor Analysis
19. Reliability Analysis
20. Nonparametric Tests
21. Ordinal Regression
22. General Loglinear Analysis
PART 2
23. GLM Univariate
24. GLM Multivariate
25. GLM Repeated Measures
Erscheint lt. Verlag | 30.6.2011 |
---|---|
Sprache | englisch |
Maße | 232 x 196 mm |
Gewicht | 904 g |
Themenwelt | Schulbuch / Wörterbuch |
Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
ISBN-10 | 0-321-74842-5 / 0321748425 |
ISBN-13 | 978-0-321-74842-3 / 9780321748423 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |