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. Author manuscript; available in PMC: 2021 Mar 1.
Published in final edited form as: Cortex. 2019 Nov 19;124:66–84. doi: 10.1016/j.cortex.2019.11.001

Table 4 –

Predictors of improvement for trained and untrained words. 1Variables were selected based on cross-validated R2. Statistics for each variable provide the cumulative variance explained by each variable added to the model after controlling for variables already included in the model. β and p-values were obtained by refitting the model with the chosen variables to add information regarding the directionality and strength of the relation. Hence, p-values provide additional indication of an accurate selection process but are not the original selection criterion for variable inclusion.

Trained words
Variable ΔR2 β p
Immediately After therapy
Pre-therapy score 14.9% −.61 p < .0001
Learning 5 trials (RAVLT) 21.9% .56 p < .0001
Years post onset 5.2% .44 p < .0001
Spelling pseudowords 10.5% .37 p < .001
Object naming 9.6% .36 p < .01
Two weeks after therapy
Years post onset 10.1% .48 p < .01
Digit span backward 18.0% .49 p < .01
Two months after therapy
Spatial span backward 20.7% .50 p < .01
Untrained words
Variable ΔR2 β p
Immediately after therapy
Therapy type 25.4% .57 p < .0001
Pseudoword spelling 11.1% −.38 p < .01
Two weeks after therapy
Proactive interference (RAVLT) 8.5% .34 p < .05
Two months after therapy
tDCS 10.4% .38 p < .05
Immediate recall (RAVLT) 6.5% .29 p = .0561