This dataset example introduces readers to McNemar's test. This technique allows researchers to test whether there is a difference between two related groups of measurements on a binary (i.e., dichotomous) variable. Hence, it is commonly used to study any change in the subjects from one time point to another, or to compare the effects of different treatments/conditions. This example uses a subset of the data from the World Development Indicators dataset from the World Bank. It examines any change over time in the number of countries with women holding more than one third of the seats in the national parliaments. Results from an analysis like this could reveal global changes in gender equality and inform our understanding of women's legal rights.In this example, readers are introduced to the basic theory and assumptions underlying this technique, the type of questions this technique can be used to answer, and how to produce and report results. The sample dataset has been cleaned and organized to make this example easier to follow. Interested readers should read the full documentation for the dataset before using it for research (https://data.worldbank.org/data-catalog/world-development-indicators/).

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