The Importance of Data Cleaning
If this
is not the first book or article by the first author that you have
come across, you might know that he has been a constant (perhaps tiresome)
advocate of the argument that data is not ready to analyze until it
is clean and missing data has been dealt with. In fact, he wrote
an entire book about all the different—legitimate—things
a researcher can do to improve the quality of their data and the results
that come from analysis of those data.
Exploratory factor analysis
is no exception, but there are different issues, and different priorities
when dealing with EFA. Residuals, a common tool used to identify
outliers in inferential statistics, contradict the exploratory nature
of EFA[1] and thus they cannot ...
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