Table 1
Item information statistics
Point of Maximum Information
1. - .5335 11. - .3486 21. -1.3415
2. -1.8624 12. - .2408 22. .0778
3. - .0595 13. -1.1276 23. - .8488
4. - .1422 14. -1.4116 24. -1.1307
5. - .3898 15. -1.4472 25. -1.3093
6. -1.5271 16. - .8430 26. - .1914
7. .0279 17. - .6911 27. - .6369
8. -1.1277 18. .1810 28. - .6239
9. -1.7692 19. .2232 29. - .7331
10. - .2972 20. .5614 30. .3627

6.3.5 Factor analyses

Exploratory factor analysis. Exploratory principal-factor analysis was done, yielding 5 factors with eigenvalues greater than 1 in the Spanish sample (and .9 in the U.S. sample). These factors accounted for roughly 50% of the variance in the Spanish data and 63% of the variance in the U.S. data. Eigenvalues were 9.9, 1.5, 1.2, 1.2, and 1.1 respectively for the Spanish data and 14.3, 1.5, 1.2, 1.0, and .9 in respectively for the U.S. data.

Confirmatory factor analysis. Confirmatory factor analysis also was done. The conceptual framework proposed in Figure 1 provided a 3 x 5 model for the items of the ESJI. We therefore evaluated corresponding three- and five-factor latent variable models for the U.S. and Spanish data.