End Notes
1: This should
be applied not just in EFA, but in all research. If we are not purposeful
and thoughtful, why are we doing this?
[return]
2: To be clear, we
strongly discourage this sort of analysis. Concepts and theories
should always guide what we do when exploring data. Except when they
don’t.
[return]
3: Please note the
ALPHA and ML extraction methods provide initial estimates that are
weighted and thus not identical. In these instances, the Kaiser Criterion
might not provide an ideal lower bound as the total variance can now
be greater than the number of items (see the SDQ example below).
[return]
4: Scale 1 was to be composed of
item # 1, 6, 11, 16, 21, and 26; scale 2: #2, 7, 12, 17, 22, 27;
and so forth.
[return]
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