Both Windows and Mac versions included. Includes all add-ons in addition to the full version of SPSS Base. See above for details. Includes these statistical tests: Crosstabulations – Counts, percentages, residuals, marginals, tests of independence, test of linear association, measure of linear association, and much more. Frequencies – Counts, percentages, valid and cumulative percentages; central
Both Windows and Mac versions included. Includes all add-ons in addition to the full version of SPSS Base. See above for details. Includes these statistical tests: Crosstabulations – Counts, percentages, residuals, marginals, tests of independence, test of linear association, measure of linear association, and much more. Frequencies – Counts, percentages, valid and cumulative percentages; central tendency, dispersion, distribution and percentile values. Descriptives – Central tendency, dispersion, distribution and Z scores. Descriptive ratio statistics – Coefficient of dispersion, coefficient of variation, price-related differential and average absolute deviance. Compare means – Choose whether to use harmonic or geometric means and much more. ANOVA and ANCOVA – Conduct contrast, range and post hoc tests. Correlation – Test for bivariate or partial correlation, or for distances indicating similarity or dissimilarity between measures. Nonparametric tests – Chi-square, Binomial, Runs, one-sample, two independent samples, k-independent samples, two related samples, k-related samples. Explore – Confidence intervals for means; M-estimators; identification of outliers; plotting of findings. K-means Cluster Analysis – Used to identify relatively homogeneous groups of cases based on selected characteristics. Hierarchical Cluster Analysis – Used to identify relatively homogeneous groups of cases. TwoStep Cluster Analysis – Group observations into clusters based on nearness criterion, with either categorical or continuous level data. Discriminant – Offers a choice of variable selection methods. Linear Regression – Choose from six methods. Nearest Neighbor analysis – Use for prediction (with a specified outcome) or for classification (with no outcome specified).
