Table 6.
Summary of hierarchical regression analysis for variables predicting expressive vocabulary size (N = 35).
Model 1 |
Model 2 |
Model 3 |
|||||||
---|---|---|---|---|---|---|---|---|---|
Variable | B | SE B | ß | B | SE B | ß | B | SE B | ß |
RelProf | 0.047 | 0.008 | 0.723∗∗∗ | 0.040 | 0.008 | 0.617∗∗∗ | 0.123 | 0.043 | 1.905∗∗ |
LexM | 0.257 | 0.081 | 0.347∗∗ | 0.296 | 0.078 | 0.399∗∗ | |||
MorphM | 0.216 | 0.219 | 0.126 | 0.304 | 0.207 | 0.177 | |||
RelProf × LexM | −0.069 | 0.030 | −855∗ | ||||||
RelProf × MorphM | −0.047 | 0.052 | −0.507 | ||||||
R2 | 0.522 | 0.644 | 0.704 | ||||||
F | 36.081∗∗∗ | 18.717∗∗∗ | 13.823∗∗∗ |
RelProf, Relative proficiency; LexM, Lexical metalinguistic awareness; MorphM, Morphological metalinguistic awareness.∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.