For continuous variables, you are using descriptive statistics and reporting the measures of central tendency (mean) and measures of variability or spread (standard deviation).
For categorical variables, you are using frequencies statistics and reporting the number (or frequency) of participants per category and associated percentages. If you have assessed the association between participants’ height and self-esteem, while controlling for participants’ weight, then your research consists of three continuous variables.
First, you need to recall what you have assessed – or what your main variables are.
All quantitative research has at least one independent and one dependent variable, and, at this point, you should define them explicitly.
To put this another way, you are noting how many males versus females wanted to read the book and how many of them were in a relationship, as shown in TABLE 3.
You can report these statistics in this way: Twenty (40%) male participants wanted to read the book and 35 (70%) female participants wanted to read the book.
These statistics aim to summarise your data set, either by focusing on specific groups or on the whole sample.
In order to report descriptive and/or frequencies statistics, you need to outline all variables that you have used in your research and note whether those variables are continuous or categorical.
Here, participants’ height is an independent variable and self-esteem is a dependent variable.
Because both height and scores on a measure of self-esteem can have a wide range, you have two continuous variables.