Contents
Introduction
1 Steps of data analysis
1.1 Data preparation
1.2 Data entry in the computer
Defining the variables
Entering the data
2 Presentation of grouped data
2.1 Tables
Rules of presentation
Table construction using SPSS
2.2 Graphs
Types of graphs
Chart construction using SPSS
3 Statistical processing
3.1 Relational measures
3.2 Measures of central tendency
3.3 Measures of dispersion
3.4 Comparing scores: z-scores
4 Associations
4.1 Nature of association measures
4.2 Available options
4.3 Nominal measures of association
Phi (f) coefficient and Cramer's V
4.4 Ordinal measures of association
Spearman's rank-order correlation coefficient
4.5 Interval/ratio measures of
association
Pearson's product-moment correlation coefficient, r
Coefficient of determination
5 Tests of significance
5.1 Introduction
5.2 Nominal-level tests: Chi-square tests
Goodness-of-fit
test: one variable
Chi-square test of
independence: two variables
5.3 Ordinal-level tests
5.4 Interval/ratio-level tests
The t-test
Analysis of variance (ANOVA)
Main points
Where to from here?
Further reading