This example uses the Consumer sample data table, which contains survey data on people’s attitudes and opinions, and some questions concerning oral hygiene (source: Rob Reul, Isometric Solutions).
Select Help > Sample Data Library and open Consumer
Select Analyze > Consumer Research > Categorical.
Select I am working on my career and click Responses on the Simple tab.
Select Age Group and click X, Grouping Category.
Select Crosstab Transposed from the Categorical red triangle menu.
Select Test Response Homogeneity from the Categorical red triangle menu.
Survey Results by Age Group details the responses indicating that a respondent is currently working on his or her career and the age group. Of those responding positively, the highest majority working on their career were in the age group 25-29 at 84.1%. The highest majority of those responding oppositely were in the age group > 54 at 53.5%.
Survey Results by Age Group
Launch the Categorical Platform by selecting Analyze > Consumer Research > Categorical.
Categorical Platform Launch Window
Structured Tab
Drag a column name to the green drop zone at the Top or Side of the table. The drop zone is highlighted in pink.
When you are finished creating the table, click Add=> to add the variables to the response list.
Should you want to make a change to the table, select Relaunch Dialog from the Categorical red triangle menu. The launch window reappears where you can make edits to your selections.
Combinations gives frequency results for combinations of the X variables.
Each Individually gives frequency results for each X variable individually.
Both gives frequency results for combinations of the X variables, and individually.
Changes the response order but keeps the X order from low to high. The default ordering is low to high. You can control the ordering with a column property (Value Ordering), but if you always want to see the high values first, then select this option. Often, ordered categories are ratings, and you want to see the positive ratings first. In the red triangle menu, this option is under Category Options.
The term Supercategories refers to the extra slots in a table to aggregate over groups of categories. The Supercategories property supports four keywords: Group, Mean, Std Dev, and All. Mean and Std Dev calculate statistics for value scores, and All aggregates across all levels. For example, a “Top Two” Group supercategory could aggregate the two top categories in a response, as specified. Although we support Mean, Std Dev, and All, we do not recommend using them because they are available as built-in statistics as well as supercategories. Supercategories appear in Crosstab tables and Frequency Charts. Share Charts, however, do not show supercategories and ignore the Hide option described below.
Create Supercategories by selecting a column and then selecting Column Info > Column Properties > Supercatagories. On the column properties window, select a column, enter a Supercategory Name, and click Add.