Dear all,
I am writing to request help with the following.
I have used the "Factor" software (By Lorenzo and Ferrando) to
determine the number of factors to be retained from a questionnaire I
have developed.
I described the procedure as follows:
" In order to decide the right number of factors to retain, we
performed a parallel analysis using marginally bootstrapped samples
(PA-MBS; Lattin, Carroll, & Green, 2003),
one of the most accurate factor retention techniques that involves
the generation of many correlation matrices of random variables based
on the same sample size and number
of variables in the actual data set using marginally bootstrapped
samples. In such samples, the number of variables, the sample size
and the marginal kurtosis are kept
at their original level, which is important because these factors
determine the distribution of eigenvalues".
One of the reviewers asked me to " explain the concept of marginally
bootstrapped samples a bit more clearly".
I would be very grateful if you had any ideas that might help me do
this, or perhaps if you might be able to suggest any relevant literature?
with many thanks for your time,
Ioanna
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