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You can add a product difference test to a table containing a column proportions or a column means test, to break down the results by category using a number of different variables, known as difference attributes. This enables you to see which combinations of categories produce significant results. See the topic Product Difference Test for more information.
► Create a table with either no variables or one variable on the side and one variable on the top.
Note: You can use an edited variable provided that you edit the variable before you specify the product difference test. Once you have specified a product difference test for a table, the entire table specification is frozen and any further edits that you make to variables will not be reflected in the table.
► In the Variables pane, use Shift+click or Ctrl+click to select the variables you want to use as the difference attributes.
► From the menu, choose:
The Difference Attributes dialog box appears.
► Choose the number of combinations to use:
• If you select one combination, each category in each of the difference attributes will be combined with each category in the variable on the side of the table to form a separate row of the table. Each row will be tested for significance. Each row therefore contains a combination of two categories.
• If you select two combinations, in addition to the rows produced by the above set of combinations, a row is created for each combination of categories in all combinations of two difference attributes and the side variable. Each of these rows contains a combination of three categories.
• If you select three combinations, in addition to the 1-and 2-combination rows, a row is created for each combination of categories in all combinations of three difference attributes and the side variable. Each of these rows contains a combination of four categories.
Note: Depending on the numbers of categories in each of your variables, this can result in a very large table, which may take a long time to generate and which may not contain any significant results unless your survey data contains a sufficiently large set of responses.
► By default, the column proportions test will be applied to the table. If you want to change this, deselect the Apply default statistics (column proportions) check box.
► By default, only significant results are displayed in the table. If you want to see all results, deselect the Apply default hide rules check box.
► Choose OK to close the Difference Attributes dialog box. On the Design pane, the table specification is now frozen, and the size of the table appears as Difference_Attributes_axis, representing the combinations of categories from the side variable and the difference attributes that you selected.
► If you deselected the default statistics check box, you must also select the statistical test you want to include using the Table Properties dialog box. From the menu, choose:
and select the appropriate options in the Statistics tab. You must then reselect the Difference Attributes dialog box and choose OK.
► Generate the table:
Note: If you do not see any results, this may be because your survey data contains insufficient records to support the number of attributes you have selected. Alternatively, it may be that none of the results is significant. Try selecting fewer attributes, or setting a lower significance level.