Table 4.
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.