![]() Nesting columns allows you to have 1 set of variables splitting another. Click on a row to view the calculations for that row. You can add multiple fields to your row, but you cannot view them all at once these calculations are separated from each other because each field in a row is run in a separate calculation against the chosen columns. The row, “How often do you contact our support team?” which splits into each level of frequency. ![]() The column, “What is the highest level of education you have completed?” which splits into each level of education.The column “What is your gender?” which splits into male and female.Rows should be variables that you think may change based on conditions in your research.Ībove, you see a crosstab composed of the following elements: This includes variables that are ratings, like satisfaction, CSAT, CES, NPS, etc. Columns should be variables you are treating as unchanging or independent. This includes demographics, such as gender, income, or age. Select the numeric variable you’d like to apply to your data.Ĭolumns (banners) are “input” variables.If you haven’t applied weighting to your data, this variable won’t appear in the crosstabs menu. Qtip: “Qualtrics Weighting” is the weighting created in the Weighting tab. This will allow you to view the available numeric variables and weights. Underneath the Weighting section, click the dropdown menu. ![]()
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