The following section provides more detailed information relating to the analytical procedures found within IBM SPSS Base. Effect Size statistics for T-Tests and One Way ANOVA.
Quality Control – Includes Control charts and Pareto charts.Multiple Response – Allows users to define multiple response sets for frequency and cross-tabulation analysis.
Time Series – Provides a number of descriptive time series procedures including sequence charts and auto correlations.Simulation – This procedure allows users to create data that can be applied to existing models or entered manually as equations.Non-Parametric Tests – Contains a range of Non-Parametric tests for one sample, independent samples and related samples.Scale – Contains functions to perform Reliability analysis and Multi-Dimensional Scaling (ALSCAL).Data Reduction – Includes Principal Component Analysis and Factor Analysis.Classify – Includes three clustering methods (Two Step, K-Means, and Hierarchical) also includes Discriminant function analysis.Regression – includes the Automatic Linear Models procedure as well as Linear Regression, Curve Estimation, Partial Least Squares and Ordinal regression.Correlate – Includes Bivariate Correlations (Pearson and Spearman) and Partial Correlation procedures.Compare Means – Generates Means comparison tables as well as parametric T-Tests and one-way ANOVA.Descriptive Statistics – This includes an extensive range of descriptive statistical functions including frequency tables, crosstabs and the Explore procedure which generates histograms, boxplots and confidence intervals.