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Table 5 Hierarchical regression analyses of the advanced word and writing measures with GPA as criterion variable and writing and word measure as predictors

From: Recognition vocabulary knowledge as a predictor of academic performance in an English as a foreign language setting

Advanced word models R 2 Adjusted R2 R2change B SEB β
Writing .160 .147 .160*** .230 .077 .399
Advanced accuracy .160 .135 .000 .001 .005 .021
Advanced response time .198 .162 .028 -1.171 .659 -.200
Advanced accuracy .02 .005 .02 .001 .005 .021
Advanced response time .091 .063 .071* -1.172 .659 -.2
Writing .198 .162 .108** .230 .077 .357
Basic word models       
Writing .16 .147 .160*** .215 .079 .334
Basic accuracy .184 .160 .024 .003 .004 .093
Basic response time .267 .234 .083** -1.708 .624 -.299
Basic accuracy 0.215 0.079 0.334 0.003 0.004 0.093
Basic response time 0.003 0.004 0.093 -1.708 0.624 -0.299
Writing -1.708 0.624 -0.299 0.215 0.079 0.334
  1. B, Unstandardized coefficient; SEB, Standard Error B; β, Standardized coefficient.
  2. F significant at * p < .05, ** p < .01, *** p <.001.
  3. N = 70.
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