| Literature DB >> 35874345 |
Xiaoyu Hu1, Gurnam Kaur Sidhu1, Xin Lu1.
Abstract
There is no denying that there is ample evidence of numerous factors that influence language learners' success. Recently, there is a critical call to embrace positive psychology that is more open and appreciative of the positive influences in learning English as a foreign language (EFL). Set against this burgeoning area of study in language learning, this paper puts forward the findings of a study that aimed to examine the mediating roles of grit and foreign language enjoyment in the relationship between growth mindset and English language performance. The study employed a correlational research design involving 388 EFL students from one university in China. The data were collected through a questionnaire and an English language performance test. Using the structural equation modeling, this study found that the association between growth mindset and English language performance was partially mediated by grit and foreign language enjoyment. This indicates that students with a growth mindset tend to possess a higher level of grit as well as experience more enjoyment in learning English, which consequently can lead to students becoming more successful language learners. These findings provide significant implications for language teachers, educational material developers, and school administrators in China to embrace the affective domain postulated by positive psychology.Entities:
Keywords: English language performance; foreign language enjoyment; grit; growth mindset; language learning; positive psychology
Year: 2022 PMID: 35874345 PMCID: PMC9302586 DOI: 10.3389/fpsyg.2022.935506
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Unstandardized and standardized estimates of the initial CFA model.
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| FLE4 ← EL | 1.000 | 0.819 | |||
| FLE5 ← EL | 1.082 | 0.060 | 17.890 | 0.000 | 0.797 |
| FLE6 ← EL | 0.959 | 0.057 | 16.869 | 0.000 | 0.764 |
| FLE7 ← EL | 0.962 | 0.056 | 17.189 | 0.000 | 0.775 |
| FLE8 ← EL | 0.317 | 0.069 | 4.624 | 0.000 | 0.242 |
| FLE9 ← EL | 1.040 | 0.060 | 17.196 | 0.000 | 0.775 |
| FLE10 ← EL | 1.042 | 0.058 | 17.865 | 0.000 | 0.797 |
| FLE11 ← EL | 0.439 | 0.069 | 6.392 | 0.000 | 0.330 |
| FLE3 ← TS | 0.795 | 0.057 | 13.957 | 0.000 | 0.693 |
| FLE2 ← TS | 0.911 | 0.056 | 16.165 | 0.000 | 0.798 |
| FLE1 ← TS | 1.000 | 0.845 | |||
| FLE14 ← SS | 0.888 | 0.055 | 16.242 | 0.000 | 0.754 |
| FLE13 ← SS | 0.667 | 0.043 | 15.438 | 0.000 | 0.724 |
| FLE12 ← SS | 1.000 | 0.854 | |||
| FLE15 ← SS | 0.863 | 0.055 | 15.714 | 0.000 | 0.734 |
| GM6 ← SL | 1.052 | 0.067 | 15.778 | 0.000 | 0.807 |
| GM5 ← SL | 0.916 | 0.060 | 15.367 | 0.000 | 0.783 |
| GM4 ← SL | 1.000 | 0.796 | |||
| GM9 ← AS | 1.087 | 0.064 | 17.071 | 0.000 | 0.826 |
| GM8 ← AS | 1.065 | 0.065 | 16.277 | 0.000 | 0.785 |
| GM7 ← AS | 1.000 | 0.829 | |||
| GM1 ← GL | 1.000 | 0.925 | |||
| GM2 ← GL | 0.902 | 0.041 | 21.786 | 0.000 | 0.835 |
| GM3 ← GL | 0.912 | 0.046 | 19.966 | 0.000 | 0.792 |
| GR1 ← POE | 1.000 | 0.771 | |||
| GR2 ← POE | 1.276 | 0.077 | 16.496 | 0.000 | 0.815 |
| GR3 ← POE | 0.349 | 0.081 | 4.303 | 0.000 | 0.230 |
| GR4 ← POE | 1.269 | 0.078 | 16.266 | 0.000 | 0.805 |
| GR5 ← POE | 1.298 | 0.077 | 16.862 | 0.000 | 0.832 |
| GR6 ← COI | 1.000 | 0.813 | |||
| GR7 ← COI | 1.058 | 0.069 | 15.248 | 0.000 | 0.776 |
| GR8 ← COI | 1.020 | 0.067 | 15.275 | 0.000 | 0.777 |
Figure 1The final CFA model with standardized estimates.
Evaluation of the CFA model fit.
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| CMIN | 422.398 | – | – |
| DF | 392.000 | – | – |
| CMIN/DF | 1.078 | Between 1 and 3 | Excellent |
| CFI | 0.995 | >0.95 | Excellent |
| TLI | 0.995 | >0.95 | Excellent |
| SRMR | 0.035 | <0.08 | Excellent |
| RMSEA | 0.014 | <0.06 | Excellent |
Reliability and validity of the CFA model.
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| FL Enjoyment | 0.851 | 0.656 |
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| Growth Mindset | 0.818 | 0.601 | 0.487 |
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| Grit | 0.825 | 0.703 | 0.215 | 0.591 |
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| ELP | – | – | 0.514 | 0.602 | 0.486 | – |
Correlation is significant at p < 0.01.
Correlation is significant at p < 0.001.
The bold values means the square root of AVE for each construct.
Descriptive statistics for the imputed constructs.
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| COI | 388 | 1.04 | 4.57 | 3.3223 | 0.83823 | −0.702 | −0.145 |
| POE | 388 | 0.97 | 4.10 | 2.9876 | 0.78356 | −1.108 | 0.473 |
| Grit | 388 | 1.18 | 4.08 | 3.0432 | 0.65031 | −1.018 | 0.540 |
| GL | 388 | 1.26 | 5.43 | 4.0076 | 1.09344 | −1.066 | 0.391 |
| AS | 388 | 1.20 | 4.50 | 3.3690 | 0.76256 | −0.504 | −0.370 |
| SL | 388 | 1.31 | 4.96 | 3.6366 | 0.86231 | −0.450 | −0.367 |
| Growth Mindset | 388 | 1.95 | 6.13 | 4.6352 | 0.85108 | −0.758 | 0.511 |
| SS | 388 | 1.28 | 5.49 | 4.1133 | 0.99007 | −1.047 | 0.403 |
| TS | 388 | 1.16 | 5.12 | 3.7595 | 0.81196 | −1.071 | 1.148 |
| EL | 388 | 1.21 | 4.93 | 3.5425 | 0.85384 | −0.606 | −0.251 |
| FL Enjoyment | 388 | 1.32 | 4.61 | 3.3449 | 0.62966 | −0.913 | 0.880 |
| ELP | 388 | 307 | 593 | 419.46 | 51.541 | 0.499 | 0.641 |
Figure 2The structural model with standardized estimates.
Path coefficients of the structural model.
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| Grit ← Growth Mindset | 0.457 | 0.042 | 10.94 | 0.000 | 0.590 |
| FL Enjoyment ← Growth Mindset | 0.358 | 0.041 | 8.626 | 0.000 | 0.485 |
| ELP ← Growth Mindset | 17.028 | 3.405 | 5.000 | 0.000 | 0.307 |
| ELP ← Grit | 17.017 | 3.914 | 4.348 | 0.000 | 0.238 |
| ELP ← FL Enjoyment | 23.429 | 3.674 | 6.377 | 0.000 | 0.312 |
Bootstrapping analysis of the mediating effects (controlling for gender and age).
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| Total effects | 33.203 | 3.208 | 28.185 | 38.761 | 0.599 |
| Direct effects | 17.086 | 3.740 | 10.881 | 23.398 | 0.308 |
| Indirect effects | 16.117 | 2.396 | 12.405 | 20.206 | 0.291 |
| Grit as the mediator | 7.739 | 2.003 | 4.326 | 11.002 | 0.140 |
| FL Enjoyment as the mediator | 8.378 | 1.486 | 6.219 | 11.167 | 0.151 |
p < 0.01.
p < 0.001.