Table 2.
Second-order principal components analysis and correlation among components (N = 792)
| PCA components | Component loadings | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| Professional concerns | |||
| Limitations | .83 | ||
| Divergence | .81 | -.34 | |
| Balance | .76 | .48 | |
| Monitoring | .72 | ||
| Openness | -.60 | .38 | |
| Work conditions and requirements | |||
| Burden | .67 | .74 | |
| Organizational support | .68 | ||
| Job security | .62 | ||
| Appeal | .62 | .47 | |
| Requirements | .61 | ||
| Fit and feedback | |||
| Fit | .84 | ||
| Feedback | .68 | ||
| Eigenvalues | 4.39 | 2.37 | 1.19 |
| Explained variance (%) | 36.57 | 19.73 | 9.93 |
| Correlationsa | |||
| Professional concern | -- | ||
| Work | -.30** | -- | |
| Fit | -.08* | .30** | -- |
aPearson’s r coefficients between second-order components. *Indicates significance at the p < .05 level, ** indicates significance at the p < .001 level