If you look at this dataset, you will see that only one of the variables, Purchases, is truly continuous - it consists of the number of fast food purchases in the previous month. SPSS refers to these as "scale" and "nominal" respectively. One thing that it is very important to keep track of, is whether a variable is continuous (truly numerical) or categorical (or "nominal"). There are also numerous ways to obtain descriptive statistics in SPSS. Continuous versus categorical variables: There are many things we could investigate using these data. If you let the cursor hover over a variable name, you will get a longer description of what it's about most of these are self-explanatory. There are 32 columns (variables) and 400 rows (cases). Open the file in SPSS and have a look at it. Click on the link entitled Fast-food study SPSS data. what brands they bought, how often they did so, and what brand first sprang to mind). 400 people (200 males and 200 females) were asked lots of questions about their personal characteristics (such as their sex, age, and education level) and about their fast food purchasing behaviour (e.g. It consists of data from a telephone survey investigating people's "fast food" eating habits. The dataset we are going to use is a slightly modified version of one that was supplied as part of the STARS project. Descriptive statistics: An essential preliminary to any statistical analysis is to obtain some descriptive statistics for the data obtained - things like means and standard deviations. Research Skills One: Using SPSS 20, Handout 2: Descriptive Statistics: :
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