Table 5. Hierarchical multiple regression table predicting speeded naming latencies.
Variable | Beta | SE B | â | t-value | p-value |
Factor 1: Word length | 34.27 | 3.02 | .49 | 11.35 | <.001 |
Factor 2: Phonotactic probability | −11.92 | 3.55 | −.71 | −3.35 | .001 |
Factor 3: Frequency/Familiarity | −33.02 | .92 | −.47 | −35.75 | <.001 |
Factor 4: Phonological complexity | 19.91 | 3.10 | .29 | 6.43 | <.001 |
Length Factor *Concreteness | −.002 | .01 | −.01 | −.21 | .831 (ns) |
Probability Factor *Concreteness | .03 | .01 | .29 | 4.17 | <.001 |
Complexity Factor *Concreteness | −.04 | .01 | −.38 | −5.57 | <.001 |
Note: Values above reflect significance for step 2 of the regression model after partialling the variance due to word onsets (see description of step 1); Final model R = .74, R2 = .54, Model significance F(18,2757) = 178.27, p<.001.