

A question about 2 factor solutions 

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Bonnie Brett posted on Wednesday, September 16, 2015  11:50 am



Hello! I am currently trying to examine the factor structure of a particular scale. I am examining each subscale, one by one, as I don't have enough power to throw all items into one big CFA or EFA. I began with a CFA, as I had an a priori hypothesis about the factor structure  that these 9 items will comprise one factor. However, this approach only worked with 2 subscales  the rest evinced terrible model fit across different fit indices. So, I chose to try an EFA approach. I remove any concerning items (e.g., items that have a skew above 3) and then put the rest in 1 and 2 factor EFAs. My next step is to examine the 2 factor solution and discard any items that don't load with the rest. However, I am finding that there is always ONE odd variable out. So, for example, I run the 2 factor solution, and see that factor 1 loads on items a  e, but factor 2 loads on f. So I remove f (as it is operating differently than items ae) and run an EFA again. This time, factor 2 loads on items a, b, c, and e, but Factor 1 loads on item d. So I remove d and run again, and this time, item c is alone. So my question is thus: will 1 item always be be primarily explained by a separate factor if I request a 2 factor solution? Would I ever find a solution that has Factor 1 loading on all items and Factor 2 not loading on anything? Thank you! 


Perhaps you have residual correlations among some of the items that throw things off. Modindices can show you if that is the case  in which case you can add such a correlation. 

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