Higher-order factor analysis (HOFA) is a method used in statistics that uses factor analysis to identify higher-order factors underlying a data set.
The goal of this technique is to identify patterns in the data that are not accounted for by the factors themselves, but are instead due to the interactions between the factors.
This can help analysts better understand the relationships between the variables in a data set and can lead to more accurate predictions.
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