Basic Analysis • Matched Pairs Analysis • The Matched Pairs Report
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The Matched Pairs Report
Follow the instructions in Example of Comparing Matched Pairs to produce the report window shown in Example of Matched Pairs Report.
The Matched Pairs report shows a Tukey mean-difference plot, summary statistics, and the results of the paired t-test. See Difference Plot and Report. If you specified an X, Grouping variable, the report also includes the Across Groups report. See Across Groups.
Example of Matched Pairs Report
Note: The red triangle menu provides additional options that can add reports to the initial report window. See Matched Pairs Platform Options.
Difference Plot and Report
The Difference plot shows differences by means. In the Difference plot, note the following:
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The mean difference is shown as the horizontal line, with the 95% confidence interval above and below shown as dotted lines. If the confidence region includes zero, then the means are not significantly different at the 0.05 level. In this example the difference is significant.
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If you add a reference frame, the mean of pairs is shown by the vertical line. For details about a reference frame, see Matched Pairs Platform Options.
The Difference report shows the mean of each response, the difference of the means, and a confidence interval for the difference. The Difference report also shows the results of the paired t-test.
Across Groups
Note: The Across Groups report appears only if you have specified an X, Grouping variable.
The Across Groups analysis corresponds to a simple repeated measures analysis. (You can get the same test results using the Manova personality of the Fit Model platform.)
Description of the Across Groups Report 
Mean Difference
Shows the mean of the difference across rows in each group between the two paired columns. In other words, this is the within-subject by across-subject interaction, or split-plot by whole-plot interaction.
Mean Mean
Shows the mean of the mean across rows in each group across the two paired columns. In other words, this is the across-subject or whole-plot effect.
Test Across Groups
Two F-tests determine whether the across-groups values are different:
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Mean Difference tests that the change across the pair of responses is different in different groups.
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Mean Mean tests that the average response for a subject is different in different groups
Related Information 
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Example Comparing Matched Pairs across Groups