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Concept
Principal Axis Factoring
Principal Axis Factoring
(PAF) is a
statistical method
used in
factor analysis
to identify
underlying relationships
between
observed variables
by estimating
common factors
. Unlike other methods, PAF focuses on
shared variance
, making it suitable for exploring
data structures
when the assumption of
normally distributed data
is not strictly met.
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