Finding & Excluding Outliers in SPSS II - Boxplots

DESCRIPTION:
If you're going to analyze quantitative variables, you should always screen them for outliers first.
Perhaps the most common approach for this is inspecting boxplots.
So in this SPSS beginners video, I'll cover
-the fast and easy way to create boxplots in SPSS,
-how to correctly interpret boxplot elements including outliers ("extreme values"),
-how and why boxplots may result in stupid decisions and
-tips & tricks for delivering outstanding work fast.
TIMESTAMPS:
00:31 what are outliers and what to do with them?
02:39 today's practice data file - life-choices.sav
03:35 creating boxplots in SPSS from Analyze - Descriptive Statistics - Explore
06:24 SPSS boxplots output I - case processing summary
07:06 adjust size and fonts for boxplot
08:02 understanding the boxplot elements
10:13 looking up outliers ("extreme values") in boxplots
10:57 set user missing values from syntax
20:28 warning: boxplots may result in stupid decisions
22:27 bonus: super easy check if ID values are really unique
RESOURCES:
Written version: www.spss-tutor...
Download example data file from: www.spss-tutor...
Download final syntax file from: www.spss-tutor...
SPSS syntax introduction: www.spss-tutor...
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