Table 4 Comparison of syntactic complexity indices between genres
From: Effects of input text genre on Chinese young EFL learners’ performance on continuation tasks
Index | Mean | Std. deviation | t | df | P | |
|---|---|---|---|---|---|---|
1 | MLS_NA-MLS_AR | -0.941 | 8.688 | -0.593 | 29 | 0.558 |
2 | MLC_NA-MLC_AR | -1.936 | 1.322 | -8.022 | 29 | 0.000** |
3 | MLT_NA-MLT_AR | -2.511 | 1.443 | -9.530 | 29 | 0.000** |
4 | WBV_NA-WBV_AR | -0.516 | 1.638 | -1.724 | 29 | 0.095 |
5 | NM_NA-NM_AR | -0.232 | 0.207 | -6.123 | 29 | 0.000** |
6 | PD_NA-PD_AR | -0.477 | 7.712 | -0.339 | 29 | 0.737 |
7 | SS_NA-SS_AR | 0.014 | 0.091 | 0.841 | 29 | 0.407 |
8 | C/T_NA- C/T-AR | -0.048 | 0.104 | -2.546 | 29 | 0.016 |
9 | DC/T_NA- DC/T_AR | -0.076 | 0.118 | -3.541 | 29 | 0.001** |