SPSS menu → Statable: where do I find what?

In brief

If you work with an IBM tutorial for SPSS, you will not find its menus in Statable: Statable arranges the methods by questions, not by menus. This list says where in Statable the same thing is. It covers what Statable calculates; SPSS can do more, and not every option of a method is included. An analysis starts under "New analysis", data are edited on the page "Data".

Analyze

• Analyze > Descriptive Statistics > Frequencies, Descriptives → question "How is something distributed?".
• Analyze > Descriptive Statistics > normality and Q-Q plot, goodness-of-fit tests (chi-square) → the same question, below the result (articles "Is it normally distributed?" and "Goodness-of-fit tests").
• Analyze > Descriptive Statistics > Crosstabs → question "Does something occur at different rates in different groups?". The measures of association and the layer ("Split by a third column") are under "More options".
• Bland-Altman → question "Do ratings agree?".
• Analyze > Compare Means > t test for two groups, one-way analysis of variance with post hoc tests → question "Do groups differ?".
• Analyze > Compare Means > paired-samples t test → question "Has something changed?".
• Analyze > Compare Means > One-Sample T Test → question "How is something distributed?", below the result "Compare the mean with a fixed value".
• Analyze > General Linear Model > Univariate (one-way and two-way, analysis of covariance) → question "Do groups differ?": "Second grouping" for the two-way analysis of variance, "Control variable" under "More options" for the analysis of covariance.
• Analyze > General Linear Model > Repeated Measures → question "Does something change over several time points?".
• Analyze > Regression > Linear (also hierarchical) and binary logistic → question "Can something be predicted?". Blocks for the hierarchical regression are under "More options"; a target column with two values is calculated logistically automatically.
• Analyze > Regression > multinomial and ordinal logistic, count data, quantile, ridge and lasso → the same question; the kind of target column and "More options" determine the model (see the articles on the individual models).
• Analyze > Correlate > Bivariate (Pearson, Spearman, Kendall) and Partial → question "Are two things related?"; the partial correlation there under "Controlling for". Several numbers at once: "How are several numbers related?".
• Analyze > Nonparametric Tests → rank tests under "No normal distribution (rank test)" in the questions "Do groups differ?" and "Has something changed?" (more tests in the field "Which rank test?"); Friedman and Cochran's Q in "Does something change over several time points?"; McNemar in "Has something changed?".
• Analyze > Dimension Reduction > Factor → question "Do my questions measure the same thing?". Analyze > Scale > Reliability (Cronbach's alpha, omega) → "How reliably does my scale measure?". Kappa → "Do ratings agree?".
• Analyze > Classify > K-means and hierarchical cluster (Ward) → question "Which groups are in the data?". ROC: in the group comparison with two groups, below the result.
• Analyze > Classify > Tree (decision tree) → question "Can something be predicted?", card "Decision tree": with learning and test data, calculated like R rpart.
• Analyze > Dimension Reduction > Correspondence Analysis → question "Does something occur with different frequency in groups?", card "Map of the table". Analyze > Scale > Multidimensional Scaling → question "How reliably does my scale measure?", card "Map of the questions".
• Analyze > Survival > Kaplan-Meier and Cox regression → question "How long does it take until an event?"; the Cox regression and the life table there under "More options".
• Time series (decomposition, autocorrelation) → question "How does a value develop over time?".
• Multiple responses → article "Check all that apply: multiple responses" (the columns are combined into a set under "Describe columns").
• Mediation → question "Does an influence run through an intermediate step?". Multilevel model → "Are my data nested in groups?". Meta-analysis → "Combine studies (meta-analysis)".
• Power analysis (sample size) → page "Plan a study" (from the start page). Bayes factor → under "Settings" → "Show Bayes factors". Survey weights → page "Data" → "Case weight" (kind: survey weight).

Transform and Data

• Variable View → page "Columns" (describe columns: names, groups, level of measurement, missing values). Data Editor (Data View) → page "Data".
• Transform > Compute Variable → page "Data" → "Edit data" → "Calculate". Transform > Recode (into different variables) → "Recode"; binning → "Recode" → "Form classes".
• Transform > Count → "Count". Rank cases → "Compute ranks". Date and time → "Date and time". Missing codes (define missing values) → "Set missing codes".
• Data > Sort → "Sort". Data > Select Cases → "Select cases". Data > Merge Files → "Merge". Data > Aggregate → "Aggregate". Duplicate and conspicuous cases → "Duplicate cases" and "Conspicuous cases". All under "Edit data".
• Data > Weight Cases → page "Data" → "Case weight". Data > Restructure → page "Data" → "Reshape".

SPSS word and Statable word

• "Variable View" is the page "Columns" in Statable.
• "Data Editor" is the page "Data" in Statable.
• "Layer" (in the crosstab) is "Split by a third column (stratum)" in Statable. A "control variable", by contrast, is the number that is taken out in the analysis of covariance and the partial correlation.

The mapping comes from the comparison with SPSS 32 (October 2026). Numbers can differ in detail; the articles on the questions say where.