The Agresti-Caffo and Miettinen-Nurminen confidence limits for the risk (proportion) difference are now available, and any confidence limit type can now be displayed in the risk difference plot. You can also request a continuity correction for the Wilson confidence limits for a binomial proportion.

The PLCORR option in the TEST statement produces Wald and likelihood ratio tests for the polychoric correlation coefficient.

The new DF= chi-square option specifies or adjusts the degrees of freedom for chi-square tests. The TESTF= chi-square option now permits you to provide null frequencies for a one-way chi-square test by using a secondary input data set. Similarly, the TESTP= chi-square option now permits you to provide null proportions by using a secondary input data set.

The LRCHISQ chi-square option in the TABLES statement produces a likelihood ratio chi-square test for one-way tables. This test can be based on a null hypothesis of equal proportions, specified proportions, or specified frequencies. The LRCHISQ option in the EXACT statement produces an exact likelihood ratio chi-square test for one-way tables.

The EXACT statement can now produce Barnard’s exact unconditional test for the risk difference as well as an exact likelihood ratio goodness-of-fit test.

The MAXLEVELS=n option in the TABLES statement specifies the maximum number of variable levels to display in one-way frequency tables; it also applies to one-way frequency plots.

The CROSSLIST(STDRES) option in the TABLES statement displays standardized residuals in the CROSSLIST table for two-way crosstabulation.

Mosaic plots are now produced with the PLOTS=MOSAICPLOT option. The GROUPBY= plot option specifies the primary grouping for two-way frequency plots. The new TWOWAY=CLUSTER plot option provides a cluster layout for two-way frequency plots that are displayed as bar charts.