| Literature DB >> 34938247 |
Xiaoxuan Lv1, Wei Ren1, Lin Li2.
Abstract
Research in second language (L2) pragmatics has paid increasing attention to learners' individual differences, but few studies have examined the relationship between learners' willingness to communicate (WTC) in L2 and their pragmatic competence. To this end, this study investigates the association between WTC and pragmatic awareness and comprehension of Chinese as a second language (CSL) learners. A total of 80 CSL learners studying abroad in three universities in China participated in this study. Data were collected through a WTC questionnaire, a self-perceived communication competence (SPCC) questionnaire, a pragmatic awareness judgment task, and a multiple-choice test for pragmatic comprehension. Statistical analyses were conducted to explore the relationship between the learners' pragmatic awareness and pragmatic comprehension on the one hand and their WTC and SPCC in L2 on the other. The findings indicated that SPCC correlated positively with the learners' L2 pragmatic comprehension, but not with their L2 pragmatic awareness. No correlation was found between WTC and pragmatic awareness and comprehension. The results suggest that SPCC may contribute to learners' L2 pragmatic comprehension; some implications for teaching and future research directions are also discussed.Entities:
Keywords: Chinese as second language; pragmatic awareness; pragmatic comprehension; self-perceived communication competence; willingness to communicate
Year: 2021 PMID: 34938247 PMCID: PMC8685262 DOI: 10.3389/fpsyg.2021.797419
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Learners’ performance in pragmatic awareness judgment task (n = 80).
| Item |
|
|
| 8 | 1.80 | 0.604 |
| 7 | 1.70 | 0.719 |
| 10 | 1.70 | 0.719 |
| 9 | 1.64 | 0.661 |
| 2 | 1.41 | 0.760 |
| 5 | 1.40 | 0.739 |
| 4 | 1.18 | 0.725 |
| 5 | 0.91 | 0.845 |
| 1 | 0.71 | 0.874 |
| 6 | 0.65 | 0.781 |
Learners’ performance in the pragmatic comprehension task (n = 80).
| Item |
|
|
| 4 | 0.91 | 0.284 |
| 1 | 0.90 | 0.302 |
| 11 | 0.89 | 0.318 |
| 9 | 0.88 | 0.333 |
| 12 | 0.85 | 0.359 |
| 8 | 0.84 | 0.371 |
| 2 | 0.81 | 0.393 |
| 3 | 0.75 | 0.436 |
| 6 | 0.74 | 0.443 |
| 5 | 0.70 | 0.461 |
| 10 | 0.66 | 0.476 |
| 7 | 0.63 | 0.487 |
The comprehension of different implicatures.
| Item |
|
|
| Non-conventional indirect opinions/comments | 3.375 | 0.107 |
| Conventional indirect refusals | 3.275 | 0.128 |
| Routines | 2.900 | 0.141 |
Correlations between pragmatic awareness and WTC/SPCC.
| WTC | SPCC | ||
| Pragmatic awareness | Pearson correlation | 0.138 | 0.199 |
| Sig. (2-tailed) | 0.224 | 0.077 | |
| N | 80 | 80 | |
Correlations between pragmatic comprehension and WTC/SPCC.
| WTC | SPCC | ||
| Pragmatic Comprehension | Pearson Correlation | 0.058 | 0.259 |
| Sig. (2-tailed) | 0.607 | 0.021 | |
| N | 80 | 80 | |
*Correlation is significant at the 0.05 level (2-tailed).
Correlations between subgroups of pragmatic comprehension and WTC/SPCC.
| WTC | SPCC | ||
| Conventional indirect refusals | Pearson Correlation | 0.089 | 0.234 |
| Sig. (2-tailed) | 0.434 | 0.037 | |
| N | 80 | 80 | |
| Routines | Pearson Correlation | 0.051 | 0.316 |
| Sig. (2-tailed) | 0.650 | 0.000 | |
| N | 80 | 80 | |
| Non-conventional indirect | Pearson Correlation | 0.006 | 0.100 |
| opinions or comments | Sig. (2-tailed) | 0.958 | 0.376 |
| N | 80 | 80 | |
*Correlation is significant at the 0.05 level (2-tailed).
Moderate effect analysis (n = 80).
| Model 1 | Model 2 | Model 3 | |||||||||||||
|
|
|
|
| β |
| SDE |
|
| β |
|
|
|
| β | |
| Constant | 7.669 | 0.290 | 26.471 | 0.000 | − | 7.669 | 0.290 | 26.403 | 0.000 | − | 7.554 | 0.287 | 26.311 | 0.000 | − |
| Pragmatic comprehension | 0.234 | 0.099 | 2.364 | 0.021 | 0.259 | 0.221 | 0.100 | 2.208 | 0.030 | 0.245 | 0.235 | 0.098 | 2.399 | 0.019 | 0.260 |
| Age | −0.049 | 0.063 | −0.774 | 0.441 | −0.086 | −0.035 | 0.062 | −0.565 | 0.574 | −0.061 | |||||
| Pragmatic comprehension | −0.053 | 0.023 | −2.294 | 0.025 | −0.246 | ||||||||||
|
| 0.067 | 0.074 | 0.134 | ||||||||||||
|
| 0.055 | 0.050 | 0.100 | ||||||||||||
| △ | 0.067 | 0.007 | 0.060 | ||||||||||||
| △ | |||||||||||||||
Dependable Variable: SPCC *p<0.05 **p<0.01.
Simple slope test.
| Moderator level | Coefficient of skewness | Std deviation |
|
| 95% CI | |
| Mean | 0.235 | 0.098 | 2.399 | 0.019 | 0.043 | 0.426 |
| High(+1SD) | –0.017 | 0.142 | –0.117 | 0.907 | –0.296 | 0.263 |
| Low(–1SD) | 0.486 | 0.151 | 3.216 | 0.002 | 0.190 | 0.782 |