If you enter a factor -say, sex- you'll get a separate boxplot for each factor level -female and male respondents. “Dependents together” means that all dependent variables are shown together in each boxplot. We'll now create a single boxplot for our 5 reaction time variables for all participants. Boxplot for Multiple Variables - 1 Group of Cases Options for adding it are discussed in Tip 3 - Adding Titles to Boxplots. Also note that our boxplot doesn't have a title yet. Interpreting these -and all other boxplot elements- is discussed in Boxplots - Beginners Tutorial. Our boxplot shows some potential outliers as well as extreme values. EXAMINE VARIABLES=r01 /COMPARE VARIABLE /PLOT=BOXPLOT /STATISTICS=NONE /NOTOTAL /ID=id /MISSING=LISTWISE. ![]() One option isĬompleting these steps results in the syntax below. We'll first run a boxplot for the reaction times on trial 1 for all cases. Boxplot for 1 Variable - 1 Group of Cases The data hold their reaction times and some other variables. ![]() Participants were presented with 5 dangerous situations to which they had to respond as fast as possible. Our data file contains a sample of N = 238 people who were examined in a driving simulator. Tip 1 - Remove Outliers for Single GroupĪll examples in this tutorial use driving-test.sav, partly shown below. ![]()
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