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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 <[log in to unmask]>: > 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 > -- Jeremy Miles Psychology Research Methods Wiki: www.researchmethodsinpsychology.com