McNemar's test: overview
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McNemar's test 


Independent variable  
2 paired groups  
Dependent variable  
One categorical with 2 independent groups  
Null hypothesis  
For each pair of scores, the data allow four options:
Other formulations of the null hypothesis are :
 
Alternative hypothesis  
Alternative hypothesis is that for each pair of scores:
Other formulations of the alternative hypothesis are that, for each pair of scores:
 
Assumptions  
Sample of pairs is a simple random sample from the population of pairs. That is, pairs are independent of one another  
Test statistic  
$X^2 = \dfrac{(b  c)^2}{b + c}$
$b$ is the number of pairs in the sample for which the first score is 0 while the second score is 1, and $c$ is the number of pairs in the sample for which the first score is 1 while the second score is 0  
Sampling distribution of $X^2$ if H0 were true  
If $b + c$ is large enough (say, > 20), approximately a chisquared distribution with 1 degree of freedom. If $b + c$ is small, the binomial($n$, $p$) distribution should be used, with $n = b + c$ and $p = 0.5$. In that case the test statistic becomes equal to $b$.  
Significant?  
For test statistic $X^2$:
 
Equivalent to  
 
Example context  
Does a tv documentary about spiders change whether people are afraid (yes/no) of spiders?  
SPSS  
Analyze > Nonparametric Tests > Legacy Dialogs > 2 Related Samples...
 
Jamovi  
Frequencies > Paired Samples  McNemar test
 
Practice questions  