ABSTRACT
If you have reached this stage of reading this book, then it is likely that you already know something about what can be called univariate tests of significance. These are just the t-tests, F-tests, and simple ANOVA and related methods of analysis. Here we are calling these univariate because they only have one variable which is being analysed at a time. For instance, we may want to know if the blood pressure measurements for two groups of patients are the same or different. Although we have two bits of information on each patient (blood pressure reading and to which group they belong), it is only one variable – the blood pressure – which has its data subjected to various calculations. Further information about univariate tests is beyond the scope of this book, and if you want to know more, I can recommend Field (2009). However, there are an immense number of other books available that discuss these subjects.
