Choose Tests (Related-Samples Nonparametric Tests)

These settings specify the tests to be performed on the fields specified on the Fields tab.

Automatically choose the tests based on the data. This setting applies McNemar's Test to categorical data when 2 fields are specified, Cochran's Q to categorical data when more than 2 fields are specified, the Wilcoxon Matched-Pair Signed-Rank test to continuous data when 2 fields are specified, and Friedman's 2-Way ANOVA by Ranks to continuous data when more than 2 fields are specified.

Customize tests. This setting allows you to choose specific tests to be performed.

Test for Change in Binary Data. McNemar's test (2 samples) can be applied to categorical fields. This produces a related-samples test of whether combinations of values between two flag fields (categorical fields with only two values) are equally likely. If there are more than two fields specified on the Fields tab, this test is not performed. See McNemar's Test: Define Success (Related-Samples Nonparametric Tests) for details on the test settings. Cochran's Q (k samples) can be applied to categorical fields. This produces a related-samples test of whether combinations of values between k flag fields (categorical fields with only two values) are equally likely. You can optionally request multiple comparisons of the k samples, either all pairwise multiple comparisons or stepwise step-down comparisons. See Cochran's Q: Define Success (Related-Samples Nonparametric Tests) for details on the test settings.
Test for Changes in Multinomial Data. Marginal homogeneity test (2 samples) produces a related samples test of whether combinations of values between two paired ordinal fields are equally likely. The marginal homogeneity test is typically used in repeated measures situations. This test is an extension of the McNemar test from binary response to multinomial response. If there are more than two fields specified on the Fields tab, this test is not performed.
Compare Median Difference to Hypothesized. These tests each produce a related-samples test of whether the median difference between two fields is different from 0. The test applies to continuous and ordinal fields. If there are more than two fields specified on the Fields tab, these tests are not performed.
Estimate Confidence Interval. This produces a related samples estimate and confidence interval for the median difference between two paired fields. The test applies to continuous and ordinal fields. If there are more than two fields specified on the Fields tab, this test is not performed.
Quantify Associations. Kendall's coefficient of concordance (k samples) produces a measure of agreement among judges or raters, where each record is one judge's rating of several items (fields). You can optionally request multiple comparisons of the k samples, either All pairwise multiple comparisons or Stepwise step-down comparisons.
Compare Distributions. Friedman's 2-way ANOVA by ranks (k samples) produces a related samples test of whether k related samples have been drawn from the same population. You can optionally request multiple comparisons of the k samples, either All pairwise multiple comparisons or Stepwise step-down comparisons.