Hi Jeremy,
Thanks for your response. This is the link.
http://psico.fcep.urv.es/utilitats/factor/
If you come to a conclusion please let me know.
best wishes
Ioanna
Sunday, October 11, 2009 12:33 AM
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"Ioanna Vrouva" <[log in to unmask]>
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Hi Ionna,
I don't know that software. Can you provide a link.
Did it do a regular parallel analysis (which is sometimes called a
univariate bootstrap) or did it do something more sophisticated, using
a Markov Chain Monte Carlo (MCMC) approach. Sometimes marginal
bootstrap refers to the MCMC.
Jeremy
2009/10/10 Ioanna Vrouva
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> 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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