## Introduction

The Net Promoter Score (NPS) is computed as the difference between two sets of percentages (most commonly, the proportion of people to rate a brand as and 8 to 10 less the proportion to rate the brand as a 6 or less).

## Requirements

A data set in Q containing standard Net Promoter Score data (i.e., ordinal data on a 0-10 scale where 0 is not all likely to recommend and 10 is extremely likely to recommend).

## Methods

### Method 1: Manually computing NPS

The Net Promoter Score (NPS) is computed as the difference between two sets of percentages (most commonly, the proportion of people to rate a brand as and 8 to 10 less the proportion to rate the brand as a 6 or less). It is computed as follows:

- In the Blue Drop-down Menu select the
*likelihood to recommend*question. It should be a**Pick One**or**Pick One - Multi**. - Right-click on the table and select
**Values**to open the Value Attributes dialog box. - Fill in the
**Value**column as follows and press**OK**- Replace values 0 through 6 with -100.
- Replace values 7 and 8 with 0.
- Replace values 9 and 10 with 100.

- Right click on the table and select
**Average**from either**Statistics****- Right**or**Statistics - Below**.

The table will now show the NPS.

### Method 2: Automatically computing NPS

Use this QScript in Q's online library Create New Variables - Recode Net Promoter Score (NPS) Variable(s).

## Significance tests on NPS questions

A common misconception is that the above is a way of "tricking" Q into computing NPS. However, the above is not really a trick as such, but is based on a recognition that the NPS can be computed either as a difference in percentages, or, as the average of a 3-point scale, and that both are, in a mathematical sense, identical. A key benefit of viewing the NPS as the mean of a three point scale is that Q's automatic significance testing is automatically testing for differences in NPS score (i.e., although NPS is described as a difference in percentages, from a statistical testing perspective it is just a three point scale).

## Next