1. An overview of IBM SPSS Statistics 19 Step by Step
2. IBM SPSS Statistics Processes for PC and Mac: 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 anad editing graphs and charts
IBM SPSS STATISTICS BASE 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 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
IBM SPSS REGRESSION AND ADVANCED STATISTICS 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 Files
Glossary
References
Index
