Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll) / Andy Field.

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