This section of the book "SPSS for Windows Step by Step 18.0 Update: A Simple Guide and Reference" provides an overview of the IBM SPSS STATISTICS BASE MODULE, detailing various statistical procedures and their applications. Key topics include: 1. **FREQUENCIES**: Analysis of frequencies, bar charts, histograms, and percentiles. 2. **DESCRIPTIVE Statistics**: Measures of central tendency, variability, deviation from normality, size, and stability. 3. **CROSSTABULATION and Chi-Square (χ²) Analyses**: Techniques for analyzing categorical data. 4. **The MEANS Procedure**: Computing means and standard deviations for groups. 5. **Bivariate CORRELATION**: Measures of association between two variables, including partial correlations and correlation matrices. 6. **The T TEST Procedure**: Independent-samples, paired-samples, and one-sample t-tests. 7. **The One-Way ANOVA Procedure**: One-way Analysis of Variance. 8. **General Linear Models**: Two-way and three-way Analysis of Variance, including the influence of covariates. 9. **Simple Linear REGRESSION**: Linear regression analysis. 10. **MULTIPLE REGRESSION ANALYSIS**: Advanced regression techniques. Additionally, the section covers nonparametric procedures, reliability analysis, multidimensional scaling, factor analysis, cluster analysis, and discriminant analysis. The book also includes advanced modules such as MANOVA, MANCOVA, logistic regression, hierarchical loglinear models, and residual analysis. The content is supported by data files, a glossary, references, and an index.This section of the book "SPSS for Windows Step by Step 18.0 Update: A Simple Guide and Reference" provides an overview of the IBM SPSS STATISTICS BASE MODULE, detailing various statistical procedures and their applications. Key topics include: 1. **FREQUENCIES**: Analysis of frequencies, bar charts, histograms, and percentiles. 2. **DESCRIPTIVE Statistics**: Measures of central tendency, variability, deviation from normality, size, and stability. 3. **CROSSTABULATION and Chi-Square (χ²) Analyses**: Techniques for analyzing categorical data. 4. **The MEANS Procedure**: Computing means and standard deviations for groups. 5. **Bivariate CORRELATION**: Measures of association between two variables, including partial correlations and correlation matrices. 6. **The T TEST Procedure**: Independent-samples, paired-samples, and one-sample t-tests. 7. **The One-Way ANOVA Procedure**: One-way Analysis of Variance. 8. **General Linear Models**: Two-way and three-way Analysis of Variance, including the influence of covariates. 9. **Simple Linear REGRESSION**: Linear regression analysis. 10. **MULTIPLE REGRESSION ANALYSIS**: Advanced regression techniques. Additionally, the section covers nonparametric procedures, reliability analysis, multidimensional scaling, factor analysis, cluster analysis, and discriminant analysis. The book also includes advanced modules such as MANOVA, MANCOVA, logistic regression, hierarchical loglinear models, and residual analysis. The content is supported by data files, a glossary, references, and an index.