From: Skill profiles of Japanese English learners and reasons for uneven patterns
Dataset | Â | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Highest skill | Profile type example | GTEC CBT: seniora | TOEFL Junior: seniorb | TOEFL Junior: Univ.c | TEAP: Univ.d | TOEFL iBT: Univ.d | TOEIC: Univ.e | TOEFL iBT: Univ. 2014f | TOEFL iBT: Univ. 2015g | TOEFL iBT: Univ. 2016h | TOEFL iBT: Univ. 2017i |
R | LSW<R | 33.42 | 19.29 | 32.05 | 15.00 | 23.00 | 1.89 | 28.34 | 28.58 | 20.73 | 34.79 |
LRSW | Flat | 18.94 | 17.90 | 9.40 | 29.00 | 9.00 | 9.43 | 3.15 | 1.59 | 9.95 | 6.52 |
LR | SW<LR | 13.40 | 16.97 | 18.38 | 8.00 | 16.00 | 8.49 | 16.54 | 13.50 | 17.65 | 16.67 |
LRW | S<LRW | 6.64 | 12.75 | 16.67 | 9.00 | 2.00 | 20.75 | 21.26 | 19.05 | 15.07 | 11.60 |
LRS | W<LRS | 5.59 | 3.79 | 2.99 | 4.00 | 7.00 | 0 | 0.79 | 0.79 | 0.74 | 0 |
RSW | L<RSW | 5.59 | 1.89 | 0.43 | 5.00 | 1.00 | 0 | 0 | 1.59 | 0 | 0 |
RW | LS<RW | 5.53 | 5.57 | 4.70 | 6.00 | 1.00 | 4.72 | 13.39 | 12.69 | 14.59 | 11.61 |
L | RSW<L | 3.61 | 11.79 | 9.83 | 5.00 | 9.00 | 5.66 | 6.29 | 7.94 | 6.89 | 7.96 |
RS | LW<RS | 3.33 | 1.46 | 0 | 1.00 | 7.00 | 0 | 0 | 0 | 0 | 0 |
W | L<RS<W | 1.50 | 2.61 | 2.14 | 6.00 | 1.00 | 33.96 | 8.66 | 8.73 | 7.65 | 6.51 |
S | LRW<S | 1.28 | 0.86 | 0.43 | 8.00 | 12.00 | 0 | 0 | 0.79 | 0 | 0 |
SW | LR<SW | 0.50 | 0.43 | 0 | 1.00 | 3.00 | 0.94 | 0 | 0 | 0 | 0 |
LS | RW<LS | 0.39 | 0.75 | 2.14 | 1.00 | 2.00 | 0.94 | 0 | 0.79 | 0 | 0 |
LW | RS<LW | 0.22 | 2.86 | 0.43 | 2.00 | 1.00 | 11.32 | 1.58 | 3.96 | 4.59 | 2.17 |
LSW | R<LSW | 0.06 | 1.07 | 0.43 | 0 | 5.00 | 1.89 | 0 | 0 | 2.14 | 2.17 |