It depends on how the variable is used.
At its simplest, it would be a nominal or categorical value but, if used as part of a time series, it would be an ordinal variable.
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Categorical.
There are 12 months in a year and 6 months in half a year. Therefore, in 1 year and 6 months, there are a total of 18 months. This can be calculated by adding the 12 months in a year to the 6 months in half a year.
14 months is 2 months greater than a year
The independent variable in ANOVA must be categorical (either nominal or ordinal). The dependent variable must be scale (either interval or ratio). However, it is possible to recode scale variables to categorical and vice versa in order to perform ANOVA. While this is a common practice in many social sciences, it is controversial. I have also seen studies where ordinal data is treated as scale in ANOVA. Personally, I do not endorse either practice as they are tailoring the data to fit the test instead of the proper method of selecting a test that fits the data.
6 months = a half of a year