These groups (levels of physical activity) formed an independent variable called group. The subjects were categorized into four groups based on the number of minutes of physical activity they performed: namely, "sedentary", "low", "moderate" and "high" physical activity groups. To test this theory, the researcher recruited 31 subjects and measured how many minutes of physical activity they performed per week and their ability to cope with workplace stress. SPSS Statistics ExampleĪ researcher believes that individuals that are more physically active are better able to cope with stress in the workplace. If you are unsure which version of SPSS Statistics you are using, see our guide: Identifying your version of SPSS Statistics. Next, we show how to use the Chart Builder in SPSS Statistics to create a simple bar chart based on whether you have SPSS Statistics versions 27 or 28 (or the subscription version of SPSS Statistics), versions 25 or 26, or version 24 or an earlier version of SPSS Statistics. First, we introduce the example we have used in this guide. The purpose of this guide is to show you how to create a bar chart using SPSS Statistics. For example, a simple bar chart could be used to illustrate the differences in the dependent variable, income, based on the three categories of the ordinal independent variable, education_level (i.e., where these three categories are "school", "college" and "university"). In such cases, a simple bar chart could be used to illustrate the difference in mean scores between the categories of a nominal or ordinal variable. Alternatively, a simple bar chart could be used to visually present the results from statistical tests such as the independent-samples t-test, one-way ANOVA, and many more. The simple bar chart would highlight the relative popularity of the five different brands. If you are using a chi-square test for association or a two-way ANOVA, you will need to consider a clustered bar chart instead (N.B., if you need help creating a clustered bar chart using SPSS Statistics, we show you how in our enhanced content).įor example, a simple bar chart could be used to illustrate the number of times shoppers preferred one of 5 different brands of ice cream (i.e., the nominal variable would be "brand preference", which has five categories – "ice cream brand A", "ice cream brand B", "ice cream brand C", "ice cream brand D" and "ice cream brand E" – and the statistic being measured could be a "count"). For example, a simple bar chart can be appropriate if you are analysing your data using an independent-samples t-test, paired-samples t-test (dependent t-test), one-way ANOVA or repeated measures ANOVA. It will often be used in addition to inferential statistics. It can be used to display counts (i.e., frequencies) of the categories of a nominal or ordinal variable, as well as illustrating the mean score of a continuous variable for the categories of a nominal or ordinal variable. To move in the opposite direction of “Tab,” press Shift + Tab.Creating a Bar Chart using SPSS Statistics IntroductionĪ simple bar chart is helpful in graphically describing (visualizing) your data.To cycle through various objects at that level, press Tab.To switch amongst chart elements, press Tab.To select different parts of a chart, press Enter. You can cycle through the layers of elements.You can use your keyboard to navigate the chart quickly. To reset to position of all items, open the chart editor by double clicking on the chart, going to the “Customize” tab, and clicking Chart style Reset layout.To reset the position of a single item, right click the item.You can also use the keyboard arrows to move items. Then, click and drag the item to a new position. To move an item to a new position, double-click the item on the chart you want to move.You can't move labels on a pie chart or any parts of a chart that show data, like an axis or a bar in a bar chart. You can move some chart labels like the legend, titles, and individual data labels. Tip: To remove other items on your chart, double-click the chart to open the side panel. Then, click a third time to select the single data label/bar. To delete data labels or error bars, double-click one to select all.To delete a specific item on the chart, double-click the item.You can delete some chart items like titles, legends, data labels, and error bars.
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