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Theory of analysing categorical data. In the simplest case, we compare two categorical variables.However, we cannot use the mean, since we do not have a continuous measure. Instead we analyse frequencies, namely the number of things that fall into each combination of categories. . Example: Dancing
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1. Chapter_16 Categorical data
Field (2005)?
2. What are categorical variables?
We know already grouping (dummy) variables. They are variables that describe categories of entities.
Categorical data are not continuous scores but discrete values such as being male/female, pregnant/not pregnant, etc.
With categorical tests, we can test relationships between such categorical data.
3. Theory of analysing categorical data In the simplest case, we compare two categorical variables.
However, we cannot use the mean, since we do not have a continuous measure. Instead we analyse frequencies, namely the number of things that fall into each combination of categories.
4. Example: Dancing cats Research question: Can animals be trained to line-dance? Experiment: 200 cats were trained to line-dance by rewarding them with food or affection: 2 Variables Training: reward through food or affection Dance: could they dance or not? After training, the number of cats that could or could not line-dance, was counted and compared between the two training groups.
