I am running a PCA in JASP and SPSS with the same settings, however, the PCA in SPSS shows some factors with negative value, while in JASP all of them are positive.
In addition, when running a EFA in JASP, it allows me to provide results with Maximum Loading, whle SPSS does not. JASP goes so far with the EFA that I can choose to extract 3 factors and somehow get the results that one would have expected from previous researches. However, SPSS does not run under Maximum Loading setting, regardless of setting it to 3 factors or Eigenvalue.
Has anyone come across the same problem?
UPDATE: Screenshots were updated. EFA also shows results on SPSS, just without cumulative values, because value(s) are over 1. But why the difference in positive and negative factor loadings between JASP and SPSS.
It looks like you used different rotation methods (varimax and promax in JASP versus oblimin in SPSS). This could explain the differences in the loadings. SPSS does allow you to extract a specific number of factors, to "suppress" small loadings in the output, and to sort them by size.
Christian Geiser Thank you very much for your feedback. :) I indeed uploaded the wrong screenshots. With PCA and either Eigenvalues set to 1, or manually setting 3 factors, SPSS shows for same items negative factor loadings.
I also checked the EFA for both again and can run it on SPSS as well. I added the new screenshots above. Just SPSS does not show the cumulative values.
As far as I can tell, the loadings are similar in absolute magnitude, but not exactly identical. Perhaps the two programs use different convergence criteria leading to slightly different estimates. You can study the technical manuals for both programs in which the convergence criteria should be described.
The fact that the loadings on some components are negative is not an issue per se, as it is just an issue of polarity (e.g., in one program a component could mean "positive affect", whereas in another program the same component could mean "negative affect"). The polarity is arbitrary so to say, and does not change your conclusions about the component structure of the variables per se.
Thank you, I found the issues and now it gives me very similar results
- Badges
- Science topic
- Similar topics
- Statistics
- Survey