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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.