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.
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.
Both these statistics require you to make a table, and in both cases you also need to comment upon the statistics. You need to make a table, as in TABLE 1 below, which identifies means and standard deviations for all these variables.
When commenting upon the results, you can say: Note that, in this example, you are concluding that participants had moderate self-esteem levels if their self-esteem was assessed on a 1 to 10 scale.
An independent variable is one that you control to test its effects on the dependent variable.
A dependent variable is thus your outcome variable.
So, you have overcome the colossal task that is doing your dissertation research – either primary or secondary, depending on which avenue you chose. Now you are faced with analysing your data and writing up the results section of your dissertation.
If this is the position in which you find yourself, and your heart rate spiked just reading these words, then you have come to the right place. We have put together this very comprehensive, very useful guide on how to write up the results section of your dissertation.