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

CONTENT

1 Everything you ever wanted to know about statistics ( well, sort of )
1.1 What will this chapter
1.2 Building statistical models
1.3 Populations and samples
1.4 Simple statistical models
1.5 Frequency distributions

2 The SPSS Environment
2.1 What will this chapter tell us?
2.2 Versions of SPSS
2.3 Getting started
2.4 The data editor
2.5 The output viewer

3 Exploring data
3.1 What will this chapter tell us ?
3.2 Parametric data
3.3 Graphic data
3.4 Exploring groups of data
3.5 Testing, whether a distribution is normal

4 Correlation
4.1 What will this Chapter tell us ?
4.2 How do we measure relationships ?
4.3 Data entry for correlation analysis using SPSS
4.4 Graphing relationships: the scatterplot
4.5 Bivariate correlations

5 Regression
5.1 What will this chapter tell us ?
5.2 An introduction to regression
5.3 Doing simple regression on SPSS
5.4 Interpreting a simple regression
5.5 Multiple regression : The basics

etc.

6 Logistic regression
6.1 What will this chapter tell us ?
6.2 Background to logistic regression
6.3 What are the principles behind logistic regression
6.4 Running the analysis: A research example
etc.

7.Comparing two means
7.1 What will this chapter tell us ?
7.2 Revision of experimental research
7.3 Inputting data and displaying means with error bar charts
7.4 Testing differences between means :The t-Test
etc.

8 Comparing several means:ANOVA (GLM 1)
8.1 What will this chapter tell us ?
8.2 The theory behind ANOVA
8.3 Running one-way ANOVA on SPSS
8.4 Output from one-way ANOVA
etc.

9 Analysis of covariance ,ANCOVA (GLM 2)
9.1 What will this chapter tell us?
9.2 What is ANCOVA
9.3 Conducting ANCOVA on SPSS
9.4 Interpreting the output from ANCOVA
etc.

10 Factorial ANOVA (GLM 3)
10.1 What will this chapter tell us ?
10.2 Theory of factorial ANOVA ( Between groups)
10.3 Factorial ANOVA using SPSS
10.4 Output from factorial ANOVA
etc.

11 Repeated-measures designs (GLM 4 )
11.1 What will this chapter tell us ?
11.2 Introduction to repeated- measures design
11.3 Theory of one-way repeated-measures ANOVA
11.4 One-way repeated - measures ANOVA using SPSS
etc.

12 Mixed design ANOVA (GLM 5)
12.1 What will this chapter tell us ?
12.2 What do men and women look for in a partner
12.3 Mixed ANOVA on SPSS
12.4 Output for mixed factorial ANOVA: Main analysis
etc.

13 Non- parametric tests
13.1 What will this chapter tell us ?
13.2 Comparing two related conditions: The Wilcoxon signed-rank test
13.4 Differences between several independent groups: The Kruskal-wallis test
etc.

14 Multivariate analysis of variance ( MANOVA )
14.1 What will this chapter tell us ?
14.2 Introduction: similarities and differences to ANOVA
14.3 Theory of MANOVA
14.4 Assumptions of MANOVA
etc.

15 Exploratory factor analysis
15.1 What will this chapter tell us ?
15.2 Factors
15.3 Discovering factors
15.4 Research example
etc.

16 Categorical data
16.1 What will this chapter tell us ?
16.2 Theory of analysis categorical data
16.3 Assumptions of the chi-square test
16.4 Doing chi-square on SPSS
etc.

Includes bibliographical references (p. [762]-776) and index.

System requirements: SPSS versions 7.0, 7.5, 8.0 and above.