I decided to use a questionnaire published by another researcher (paper and supplementary here).
In the article they perform an EFA, find two factors, and report the resulting factor loadings (correlations between the factor and each item). I gave the same questionnaire (in a different context) to a bunch of people and am now wondering if the scale still works the same way as reported in the original paper.
The way to confirm this, from what I understand, is to create a SEM model using the originally reported factor structure, run a CFA, and look at the goodness of fit. What I don't understand is which factors to fix in this model and which I should vary.
My understanding is that I'm asking "Is the originally reported model / factor structure a good fit for my data?" and hence I would fix the loading of each item on each factor to the reported value, and further not add a connection whenever the item doesn't load on a factor according to the original paper. (That would mean I end up fixing all path coefficients except for individual variances??)
However, I don't feel that confident about my knowledge, so I'd like to ask the community of wise statisticians to enlightenment me :)