Would greatly appreciate if someone could clarify which eigenvalues I am supposed to compare when using parallel analysis to determine factor retention.
I am running Principal Axis Factoring in SPSS 24. For Parallel Analysis (PA) to determine the number of factors, I am using the syntax provided by Brian O'Connor to run parallel analysis in SPSS. I used the 'rawpar' programme as my data is not normally distributed.
I am unclear which eigenvalues I am supposed to compare:
- The 'Initial eigenvalues' from the PAF output and the Prcntyle values from the PA output?
- The 'Raw data' values from PA and the Prcntyle values from PA
The initial eigenvalues produced by SPSS are different from the Raw data values produced by PA and I'm confused by that as I thought they should be the same, but maybe I misunderstood.
Here's the PAF output:
And the PA output: