Table 10.

Increase in the proportion of errors made by each modified model over 10,000 runs, compared to the baseline (unmodified target weights) model for that severity

	s-manipulated model		p-manipulated model
Baseline weights (severity)	semantic	nonword	semantic	nonword
normal (98% correct) s = p = .04	.074	.002	.006	.006
mild (93% correct) s = p = .03	.075	.010	.009	.034
moderate (65% correct) s = p = .02	.055	.005	.004	.081
severe (18% correct) s = p = .01	.009	.005	−.003	.029
mod-mild, greater s damage (79% correct) s = .02, p = .03	.068	.004	.007	.041
mod-mild, greater p damage (82% correct) s = .03, p = .02	.080	.031	.003	.092
sev-mod, greater s damage (60% correct) s = .015, p = .025	.052	.006	.011	.054
sev-mod, greater p damage (60% correct) s = .025, p = .015	.047	.024	.001	.106