Introduction xvi
Key differences between SPSS Statistics 22 and earlier versions xix
Part 1 Introduction to SPSS Statistics 1
1 A brief introduction to statistics
2 Basics of SPSS Statistics data entry and statistical analysis
Part 2 Descriptive statistics
3 Describing variables: Tables
4 Describing variables: Diagrams
5 Describing variables numerically: Averages, variation and spread
6 Shapes of distributions of scores
7 Standard deviation: The standard unit of measurement in statistics
8 Relationships between two or more variables: Tables
9 Relationships between two or more variables: Diagrams
10 Correlation coefficients: Pearson's correlation and Spearman's rho
11 Regression: Prediction with precision
Part 3 Significance testing and basic inferential tests
12 Standard error
13 The t-test: Comparing two samples of correlated/related scores
14 The t-test: Comparing two groups of unrelated/uncorrelated scores
15 Confidence intervals
16 Chi-square: Differences between unrelated samples of frequency data
17 McNemar test: Differences between related samples of frequency data
18 Ranking tests for two groups: Non-parametric statistics
19 Ranking tests for three or more groups: Non-parametric statistics
Part 4 Analysis of variance
20 The variance ratio test: Using the F-ratio to compare two variances
21 Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA
22 Analysis of variance for one-way correlated scores or repeated measures
23 Two-way analysis of variance for unrelated/uncorrelated scores
24 Multiple comparisons in ANOVA
25 Two-way analysis of variance for correlatedscores or repeated measures
26 Two-way mixed analysis of variance (ANOVA)
27 Analysis of covariance (ANCOVA)
28 Multivariate analysis of variance (MANOVA)
29 Discriminant (function) analysis (for MANOVA)
Part 5 More advanced correlational statistics
30 Partial correlation
31 Factor analysis
32 Item reliability and inter-rater agreement
33 Stepwise multiple regression
34 Simultaneous or standard multiple regression
35 Simple mediational analysis
36 Hierarchical multiple regression
37 Moderator analysis with continuous predictor variables
Part 6 Advanced qualitative or nominal techniques
38 Log-linear analysis
39 Multinomial logistic regression
40 Binomial logistic regression
Part 7 Data handling procedures
41 Reading ASCII or text files into the Data Editor
42 Missing values
43 Recoding values
44 Computing a scale score with no missing values
45 Computing a scale scorewith some values missing
46 Computing new groups
47 Selecting cases
48 Samples and populations: Generating a random sample
49 Inputting a correlation matrix
50 Checking accuracy of data input
Part 8 Other statistical procedures
51 Statistical power analysis: Sample size estimation
52 Meta-analysis
Appendix: Some other statistics in SPSS Statistics
Glossary
Index