Table 3.

Summary of “stepwise” regression analysis for variables contributing to change in rate discrimination. Unstandardized (B) and standard error (S.E.) coefficients and standardized (β) coefficients in a model were automatically generated by evaluating the significance of each variable’s contribution to the average change in 100- and 300-Hz rate discrimination. Only one model was generated, in which the Flanker score predicts significant variance in rate discrimination change. All other variables were excluded from the model (working memory, speed of processing, dimension card sort, pure-tone average, pre-training phase-locking factor, and change in phase-locking factor)

Variable	R2	B	S.E	β	95% C.I. for B	p value
Model 1	0.35					< 0.001
Flanker		0.26	0.06	0.59	0.14–0.39	< 0.001