Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll) /
Andy Field.
- 3rd edition.
- Los Angeles ; London : SAGE Publications, c2009.
- xxxiii, 821 p. : col. ill. ; 27 cm.
Contents
Preface How to use this book Acknowledgements Dedication Symbols used in this book Some maths revision
1. Why is my evil lecture forcing me to learn statistics 1.1 what will this chapter tell me? 1.2 what the hell am doing here? I don't belong here 1.3 initial observation, etc
2. Everything you ever wanted to know about statistics (well, sort of) 2.1 what will this chapter tell ,me? 2.2 building statistical models 2.3 populations and samples, etc
3. The SPSS environment 3.1 what will this chapter tell me 3.2 versions of SPSS 3.3 getting started, etc
4. Exploring data with graphs 4.1 what will this chapter tell me? 4.2 The art of presenting data 4.3 The SPSS chart builder, etc
5. Exploring assumptions 5.1 what will this chapter tell me? 5.2 what are assumptions 5.3 Assumptions of parametric data, etc
6. Correlations 6.1 what will this chapter tell me? 6.2 looking at relationships 6.3 how do we measure relationships, etc
7. Registration 7.1 what will this chapter tell me? 7.2 An introduction to regression 7.3 doing simple regression on SPSS, etc
8. Logistic registration 8.1 what will this chapter tell me? 8.2 background to logistic regression 8.3 what are the principles behind logistic regression, etc
9. Comparing two means 9.1 what will this chapter tell me? 9.2 looking at differences 9.3 The t-test, etc
10. Comparing several means: ANOVA (GLM 1) 10.1 what will this chapter tell me? 10.2 The theory behind ANOVA 10.3 Running one-way ANOVA on SPSS, ETC
11. Analysis covariance, ANCOVA (GLM 2) 11.1 what will this chapter tell me? 11.2 what is ANCOVA? 11.3 Assumptions and issues in ANCOVA, etc
12. Factorial ANOVA 12.1 what will this chapter tell me? 12.2 theory of factorial ANOVA (between-groups) 12.3 Factorial ANOVA using SPSS, ETC
13. Repeated-measures designs (GLM 4) 13.1 what will this chapter tell me? 13.2 introduction to repeated-measures designs 13.3 Theory of one-way repeated-measures ANOVA, etc,
14 Mixed design ANOVA (GLM 5) 14.1 what will this chapter tell me? 14.2 mixed designs 14.3 mixed ANOVA on SPSS, etc
15. Non-parametric tests 15.1 what will this chapter tell me? 15.2 when to use non-parametric tests 15.3 comparing two independent conditions , etc
16. Multivariate analysis of variance (MANOVA) 16.1 what will this chapter tell me? 16.2 When to use MANOVA 16.3 Introduction: similarities and differences to ANOVA, etc
17. Exploratory factor analysis 17.1 what will this chapter tell me? 17.2 when to use factor analysis 17.3 Factors, etc
18. Categorical data 18.1 what will this chapter tell me? 18.2 Analysing categorical data 18.3 Theory of analysing categorical data, etc
19. Multilevel linear models 19.1 what will this chapter tell me? 19.2 hierarchical data 19.3 Theory of multilevel linear models, etc
Includes Glossary : p.781-808 . _ References : P.809-815 . _ Index : P.816-821