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Finding & Excluding Outliers in SPSS III - Z-Scores

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DESCRIPTION:
If you're going to analyze quantitative variables, you should always screen them for outliers first.
A popular option for doing so is inspecting z-scores.
So in this SPSS beginners video, I'll cover
-the fast and easy way to add z-scores to your data in SPSS,
-how to quickly evaluate which variables contain outliers
-the correct way for finding and excluding these outliers from your data analyses
-a nice bonus trick for doing the above even faster.
Hope it helps!
TIMESTAMPS:
00:28 what are outliers and what to do with them?
03:20 precisely what are z-scores anyway?
04:16 why compute z-scores?
04:48 rule of thumb: |z| greater than 3.29 indicates an outlier
05:54 finding z-scores in SPSS
08:04 screening z-scores for outliers
11:51 exclude outliers from data analyses with MISSING VALUES
22:12 bonus trick: find outliers with TEMPORARY
RESOURCES:
FOLLOW US:
#spss #statistics #dataanalysis
If you're going to analyze quantitative variables, you should always screen them for outliers first.
A popular option for doing so is inspecting z-scores.
So in this SPSS beginners video, I'll cover
-the fast and easy way to add z-scores to your data in SPSS,
-how to quickly evaluate which variables contain outliers
-the correct way for finding and excluding these outliers from your data analyses
-a nice bonus trick for doing the above even faster.
Hope it helps!
TIMESTAMPS:
00:28 what are outliers and what to do with them?
03:20 precisely what are z-scores anyway?
04:16 why compute z-scores?
04:48 rule of thumb: |z| greater than 3.29 indicates an outlier
05:54 finding z-scores in SPSS
08:04 screening z-scores for outliers
11:51 exclude outliers from data analyses with MISSING VALUES
22:12 bonus trick: find outliers with TEMPORARY
RESOURCES:
FOLLOW US:
#spss #statistics #dataanalysis
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