1. An Overview of SPSS for Windows Step by Step.
2. SPSS Windows Processes: Mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options Option.
3. Creating and Editing a Data File.
4. Managing Data: Listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files.
5. Graphs: Creating and editing graphs and charts.
Base System Module.
6. Frequencies: Frequencies, bar charts, histograms, percentiles.
7. Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size, and stability.
8. Crosstabulation and Chi-Square (*2) Analyses.
9. The Means Procedure.
10. Bivariate Correlation: Bivariate correlations, partial correlations, and the correlation matrix.
11. The T Test Procedure: Independent-samples, paired-samples, and one-sample tests.
12. The One-Way ANOVA Procedure: One-way Analysis of Variance.
13. General Linear Models: Two-Way Analysis of Variance.
14. General Linear Models: Three-Way Analysis of Variance and the influence of covariates.
15. Simple Linear Regression.
16. Multiple Regression Analysis.
17. Nonparametric Procedures.
18. Reliability Analysis: Coefficient alpha (*) and split-half reliability.
19. Multidimensional Scaling.
20. Factor Analysis.
21. Cluster Analysis.
22. Discriminant Analysis.
Advanced and Regression Modules.
23. General Linear Models: MANOVA and MANCOVA Multivariate Analysis of Variance and Covariance.
24. General Linear Models: Repeated-Measures MANOVA: Multivariate Analysis of Variance with repeated measures and within-subjects factors.
25. Logistic Regression.
26. Hierarchical Loglinear Models.
27. General Loglinear Models.
28. Residuals: Analyzing left-over variance.
Data Disk.
Glossary.
References.
Index.
