Table 4.
Factor analysis/component matrix for dimensions.
| Component | |||
|---|---|---|---|
| Predictor | Factor 1 | Factor 2 | Factor 3 |
| Emotion | 0.905 | 0.229 | −0.027 |
| Polarity | 0.880 | −0.115 | 0.235 |
| Social | 0.855 | 0.280 | 0.090 |
| Morality | 0.794 | 0.479 | 0.057 |
| Action | 0.722 | 0.517 | 0.169 |
| Thought | 0.719 | 0.594 | 0.094 |
| Ease of teaching | −0.376 | −0.880 | −0.040 |
| Sensation | −0.447 | −0.846 | −0.026 |
| Ease of modifying | 0.104 | −0.736 | 0.310 |
| Time | 0.350 | 0.685 | 0.319 |
| Space | −0.006 | −0.208 | 0.846 |
| Quantity | 0.273 | 0.412 | 0.691 |
The above component matrix was derived using SPSS-18′s factor analysis algorithm employing a Varimax rotation with Kaiser normalization. The rotation converged after five iterations.