Buch, Englisch, 288 Seiten, Format (B × H): 223 mm x 293 mm, Gewicht: 803 g
Buch, Englisch, 288 Seiten, Format (B × H): 223 mm x 293 mm, Gewicht: 803 g
ISBN: 978-1-118-33776-9
Verlag: John Wiley & Sons
This edition of SPSS: Analysis without Anguish continues the trend of previous editions in providing a practical text intended as an introduction to IBM SPSS Statistics 20 and a guide for Windows users who wish to conduct analytical procedures. IBM SPSS Statistics 20 is a sophisticated piece of software used by social scientists and related professionals for statistical analysis.
Extensive use of screen displays and a range of step-by-step working and practice examples remain features of the workbook.
SPSS: Analysis without Anguish Version 20.0 for Windows is suitable for a range of disciplines, including business, health, social sciences, environmental science and geography.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
Weitere Infos & Material
Preface
SECTION 1. How to use SPSS
CHAPTER 1. Introduction to SPSS
CHAPTER 2. Preparation of data files
CHAPTER 3. Data screening and transformation
CHAPTER 4. Descriptive statistics
CHAPTER 5. Correlation
CHAPTER 6. t-tests
CHAPTER 7. One-way between-groups ANOVA with post-hoc comparisons
CHAPTER 8. One-way between-groups ANOVA with planned comparisons
CHAPTER 9. Two-way between-groups ANOVA
CHAPTER 10. One-way repeated-measures ANOVA
CHAPTER 11. Two-way repeated-measures ANOVA
CHAPTER 12. Trend analysis
CHAPTER 13. Mixed/split plot design (SPANOVA)
CHAPTER 14. One-way analysis of covariance (ANCOVA)
CHAPTER 15. Reliability analysis
CHAPTER 16. Factor analysis
CHAPTER 17. Multiple regression
CHAPTER 18. Multiple analysis of variance (MANOVA)
CHAPTER 19. Nonparametric techniques
CHAPTER 20. Multiple response analysis and multiple dichotomy analysis
CHAPTER 21. Multidimensional scaling
CHAPTER 22. Working with output
SECTION 2. Analysing data with IBM SPSS
CHAPTER 23. Introduction and research questions
CHAPTER 24. Practising analytical techniques
SECTION 3. Further practice
CHAPTER 25. Extra practice
Appendix
Index
