I'm hoping for some advice on how to treat items that crossload in an exploratory factor analysis.
For my PhD research I'm running a factor analysis to refine a questionnaire I've created. I have several items that crossload onto a second factor (at above .3 on both factors) and I'm not sure what to do with these. The text books I've read don't say whether I delete them, ignore them ...... Can anyone advise me on how to treat these?
I tried just deleting these items and re-running the factor analysis without them but this then found another cross loading item. Removing this item too gets rid of all cross loading items and creates a solution that makes sense of the data. However this slightly reduces the overall Cronbach's alpha to .78 (and for each of the five factors). The amount of variance explained stays roughly the same as in the original solution though.
Any advice or a push in the right direction (a text book/reference recommendation?) would be much appreciated!
Hannah Fawcett | PhD researcher | Psychology | Sheffield Hallam University | Collegiate Crescent Campus | Sheffield | S10 2BP | 0114 225 2499