**McNemar’s Test **is used to determine if there is a statistically significant difference in proportions between paired data.

This tutorial explains how to perform McNemar’s Test in SPSS.

**Example: McNemar’s Test in SPSS**

Suppose researchers want to know if a certain marketing video can change people’s opinion of a particular law. They survey 25 people to find out if they do or do not support the law. Then, they show all 25 people the marketing video and survey them again once the video is over.

The following table shows the total number of people who supported the law both before and after viewing the video:

Before Marketing Video | ||
---|---|---|

After Marketing Video | Do Not Support |
Support |

Do Not Support |
7 | 5 |

Support |
3 | 10 |

To determine if there was a statistically significant difference in the proportion of people who supported the law before and after viewing the video, we can use the following steps to perform McNemar’s Test in SPSS:

**Step 1: Enter the data.**

First, enter the data as shown below:

*Each row shows an individual’s ID, their stance before watching the marketing video, and their stance after watching the marketing video.*

**Step 2: Perform McNemar’s Test.**

Click the **Analyze **tab, then **Descriptive Statistics**, then **Crosstabs**:

Drag the variable **After **into the box labelled Rows and the variable **Before **into the box labelled Columns. Then click the button labelled **Statistics** and make sure that the box next to **McNemar **is checked. Then click **Continue**. Then click **OK**.

**Step 3: Interpret the results.**

Once you click **OK**, the results of McNemar’s Test will be displayed:

The first table displays the number of missing cases in the dataset. We can see that there are 0 missing cases in this example.

The second table displays a crosstab of the total number of individuals who did or did not support the law before and after watching the marketing video.

The third table shows the results of McNemar’s Test. The p-value of the test is **.727**. Since this value is not less than 0.05, we do not have sufficient evidence to say that the proportion of people who supported the law before and after watching the marketing video was statistically significant different.

**A Note on the p-value Calculation**

Given the following 2×2 table:

Before Marketing Video | ||
---|---|---|

After Marketing Video | Do Not Support |
Support |

Do Not Support |
A | B |

Support |
C | D |

SPSS uses the formula sing the formula (|B-C| – 1)^{2} / (B+C) to calculate the Chi-square test statistic.

In this example, the Chi-square test statistic is found to be (|5-3| – 1)^{2} / (5+3) = 1/8 = .125

The p-value corresponds to the Chi-Square test statistic with 1 degree of freedom. Using the Chi-Square to P-value Calculator, we find that a Chi-square value of .125 with 1 degree of freedom is equal to a p-value of **.727**.