I am using MPlus 7.0 to run a factor analysis on a set of survey item data measuring positive traits. I have used both oblique and orthogonal rotations and also have run it as a bifactor model. I ask for a 2 to 15 factor solution in each case.
The results always come back that the last half of the factors for any given factor solution yields loadings that are extremely low. For example, if I look at a 7 factor solution, the last 4 factors will come back with very low loadings, so low that none of the items are even cross loading onto them (assuming >.32 loading criterion). All the items load much more strongly on one or more of the first three. This pattern persists if I look at the 3 factor solution: the last factor does not have any high loadings on it.
What could be causing this?