Outliers
Two Types of Outliers in EFA
There are two
different types of outliers in factor analysis.[2] The first type of outlier
is a case (or value) that does not belong. There are many reasons why cases might not belong: the case could be from a different population, could be the result of data recording or entry error, could have resulted from motivated misresponding, or could represent a small subgroup with a different factor structure that has not been recognized. Whatever the reason, having these “illegitimate” cases in the data does not serve any useful purpose. When you identify such a case, you should check the original data, if it is available, to identify whether the case suffers from a data entry or key error. It might be possible ...
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