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.

## Method

## Column Comparisons for a Numeric - Multi SUMMARY

- Highlight the variables for the
**Numeric - Multi**variable set in the**Data Sets**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
**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.