An overview of SPSS for Windows step by step

SPSS Windows processes: mouse and keyboard processing, frequently-used dialog boxes, editing output, printing results, the Options option

Creating and editing a data file

Managing data: listing cases, replacing missing values, computing new variables, recoding variables, exploring data, selecting cases, sorting cases, merging files

Graphs: creating and editing graphs and charts

PASW statistics base module. Frequencies: frequencies, bar charts, histograms, percentiles ; Descriptive statistics: measures of central tendency, variability, deviation from normality, size, and stability ; Crosstabulation and chi-square (x²) analyses ; The Means procedure ; Bivariate correlation: bivariate correlations, partial correlations, and the correlation matrix ; The T test procedure: independent-samples, paired-samples, and one-sample tests ; The one-way ANOVA procedure: one-way analysis of variance ; General linear models: two-way analysis of variance ; General linear models: three-way analysis of variance and the influence of covariates ; Simple linear regression ; Multiple regression analysis ; Nonparametric procedures ; Reliability analysis: coefficient alpha and split-half reliability ; Multidimensional scaling ; Factor analysis ; Cluster analysis ; Discriminant analysis

PASW regression and advanced statistics modules. General linear models: MANOVA and MANCOVA multivariate analysis of variance and covariance ; General linear models: repeated-measures MANOVA: multivariate analysis of variance with repeated measures and within-subjects factors ; Logistic regression ; Hierarchical loglinear models ; General loglinear models ; Residuals: analyzing left-over variance

Data files

Glossary.