Summary |
This document provides detailed examples and explanations of how to use the average number of responses feature introduced in Analyse 5.3.3.5 |

Applies to |
Askia Analyse. |

Written for |
Data Processors and Analysts. |

Keywords |
Average, number, base, responses, calculation, multi-coded, normal, positive factor. |

This calculation is used when the average number of responses given at a multi-coded variable is required. It can be used for both flat and cross calculations.

In the General Tab, right click > Insert in the calculations window:

Set the calculation type to be Average number of responses. There are some advanced options which will be explained below:

Responses with normal base type are any responses that do not have their base type set to ‘Don’t know’ or ‘Not asked’.

Responses with positive factors:

In the variable properties select allow calculations for numerics.

- You will see that your variable now has its Analysis values (factors) visible. They’re all set to NR as default (unless factors have been applied in Design).
- Highlight the code whose factors you wish to update.
- Copy any positive factors from Excel.
- Right click on the codes you’ve highlighted > Paste factors (These can also be adjusted manually by right clicking on the responses > properties and amending Value to be 1 instead of NR)
- You will see that factors are now applied

So let’s take the example where we have the following advanced options:

**A:**

Codes {1to5;8} have positive factors and codes {1to8} normal base type.

So let’s another example where we have the same advanced options:

**B:**

These two examples should demonstrate, in a simple way, the advanced settings and how to interpret the results of this calculation. The test .qes file and portfolio can be downloaded from here.

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