The Column Comparisons statistical testing option is not available for crosstabs where the variable set that is selected in the rows is a **Numeric - Multi** variable set, and it is not possible to create a summary table for a **Numeric - Multi** variable set such that the variables are shown along the columns to facilitate the Column Comparisons. The methods below work around these restrictions by converting the variable set to a** Nominal - Multi **and showing the **Column Comparisons**** **and **Average** below the table.

Note that if your crosstab has the **Numeric - Multi** variable set in the rows and a categorical variable set in the columns, then you can use the column comparisons as normal and you do not need to consider the methods discussed here.

Please note these steps require a **Displayr **license.

## Method

## Column Comparisons for a Numeric - Multi SUMMARY

- Highlight the variables for the
**Numeric - Multi**variable set in the**Data Sources**tree. - Right-click and select
**Duplicate**. - In the Object Inspector, change
**Structure**to**Nominal - Multi**. - Make a new table with this variable set in the rows.
- Ensure that the variables are placed in the columns of the table by selecting
**Switch Rows and Columns**on the table. - Under
**Data >****STATISTICS**, select**Average**,**Column Comparisons**, and**Column Names**from**STATISTICS > Below**. - Highlight all but one of the row labels in the table, right-click, and select
**Hide**.

The Column Comparisons below the table show the results of the comparisons between the Averages shown below the table.

## Column Comparisons for a Numeric - Multi Crosstab

It is not possible to have all the results in a single table. They must instead be spread across several tables where each table has an appropriate filter applied.

- Perform the steps above.
- Make a copy of the table for each category you would ordinarily place in the rows of the table.
- Apply the appropriate filter to each table.