‘Cumulative Percent’ is occasionally useful with ordinal variables as it adds each category individually from the first category to provide a rising ‘ Valid Percent’ is the same as ‘ Percent’ but excluding cases where the relevant data was missing (see our missing data Extensionī for more on the mysteries of missing data). Our table shows us both the count and percentage of individual students in each ethnic group. Just move ethnic over from the list on the left into the box labelled Variable(s) and click OK.įigure 1.6.1: Frequencies for ethnic groups This is nice and simple as we will not be requesting any additional statistics or charts (you will use these options, the buttons on the right hand side of the menu box, when we come to tackle regression). Take the following route through SPSS Analyse > Descriptive Statistics > Frequencies to access the following menu: It will be good to see how the table related to the bar chart we created on the previous page. Let us look at the frequency table for the ethnicity variable ( ethnic). It can only usually be used when data is ordinal or nominal – there are usually too many possible values for continuous data which results in frequency tables that stretch out over the horizon! how many participants are male compared to female or how many individuals from the sample fall into each socio-economic class category). In other words it presents the distribution of your sample among the categories of a variable (e.g. The frequency table basically shows you how many cases are in each category or at each possible value of a given variable. Why not follow us through on the LSYPE 15000 dataset? Tables are a good way of presenting precise values in an accessible and clear manner and we run through the process for creating them on this page. Graphing is a great way of visualising your data but sometimes it lacks the precision which you get with exact figures.
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