A **NET** is a combination of categories on a Categorical Question. A **NET** is always computed in the same way: it represents the proportion of respondents (i.e., *cases*) to have selected one or more of the categories *and* have no missing data.

**NET** with mutually exclusive categories

With mutually exclusive categories, such as gender, a **NET** is the sum of categories: 51% males + 49% females = 100% **NET**. Thus, with Pick One and Pick One - Multi questions, a **NET** is in essence a total.

**NET** with categories that are not mutually exclusive

The following table shows awareness data, where people were permitted to be aware of 1 or more brands (it is referred to as a Pick Any or **Binary - Multi** question). Note that the **NET** here is *not* a total. Where the categories overlap, the **NET** will always be less than or equal to the sum of the categories, except where there is missing data (this is discussed in more detail below).

**NET** with categories that are not exhaustive

A **NET** is only 100% if the categories it represents are exhaustive. The example below shows the ages of children in families. The **NET** is not the sum of the categories above, because people can have more than one child. And, it is not 100% because people in the sample have no children.

**NET** with missing data

Cases with *any* missing data are excluded from the **NET**. In the table on the left, all the brands have a sample size of 327 except for `Pepsi Light`, which has a sample size of 314 due to 13 cases with missing data (i.e., Missing n). In this example, the **NET** is computed using only the 314 cases that have complete data (i.e., `Pepsi Light` and all the other brands).

In the table to the right many of the brands have missing data, and as a total of 21 cases have some missing data, the Base n (or **Sample Size** in Displayr) used in the computation of the **NET** is 306.

By definition, the Base n/**Sample Size** for the **NET** must always be less than or equal to the smallest Base n/**Sample Size** shown in a SUMMARY table. For the same reason, the Column n (**Column Sample Size** in Displayr) shown for the NET row in a crosstab and shown in Statistics - Below must always be less than or equal to the smallest Column n/**Column Sample Size** in that column.

See the following articles for a discussion of options when you wish to display a different sample size:

- How to Investigate a Sample Size or NET that is Too Small in Displayr
- How to Investigate a Sample Size or NET that is Too Small in Q

## Creating a NET

**NET**s are automatically created when a project is set up in Q and Displayr. Further **NET**s can be created by selecting multiple categories, right-clicking, and selecting **Create NET** (see Manipulating Data).

The **NET**s that are automatically created (i.e., which, by default, are shown at the base and to the right of tables) are no different from **NET**s that are manually created using **Create NET**.

## See also

How to Investigate a Sample Size or NET that is Too Small in Displayr

How to Investigate a Sample Size or NET that is Too Small in Q