Table 3.
Summary of hierarchical regression analysis for variables predicting text quality
| Variable | Model 1 | Model 2 | Model 3 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| B | SE B | β | B | SE B | β | B | SE B | β | |
| Gender | − 0.27 | 0.07 | − 0.28** | − 0.29 | 0.07 | − 0.31** | − 0.23 | 0.07 | − 0.25** |
| WM word span | 0.20 | 0.05 | 0.26** | 0.15 | 0.05 | 0.20** | |||
| WM visuo-spatial sketch pad | − 0.00 | 0.02 | 0.02 | 0.00 | 0.03 | 0.02 | |||
| VMI | 0.02 | 0.01 | 0.08 | 0.02 | 0.01 | 0.09 | |||
| Handwriting speed | 0.00 | 0.00 | 0.02 | ||||||
| NIV Composing | − 0.35 | 0.15 | − 0.17* | ||||||
| Spelling | − 0.02 | 0.00 | − 0.23** | ||||||
| R 2 | 0.08 | 0.16 | 0.20 | ||||||
| F for change in R2 | 14.90** | 5.35** | 6.03** | ||||||
NIV composing is a dichotomized variable
WM working memory; VMI Visuo-motor integration
*p < 0.05. **p < 0.01