| Literature DB >> 35923728 |
Lihua Xu1,2, Xiaowen Zhu1.
Abstract
Positive psychology (PP) has received increasing attention in the field of education. Therefore, it would be of utmost importance to analyze the relationship between the constructs falling under the category of positive psychology and other constructs to pave the way for both educational authorities and teachers themselves. Reviewing the previous studies, it turned out that there have been no studies to discuss the interplay between teachers' psychological capital and their job commitment and academic optimism particularly in the context of China. To fill this gap, the current study set out to inspect the function of Chinese English as a Foreign language (EFL) teachers' psychological capital in promoting their job commitment and academic optimism. To accomplish this, 316 Chinese teachers (i.e., 97 males, 219 females) were asked to complete "Psychological Capital Scale," "Job Commitment Scale," and "Academic Optimism Scale." The results of regression analyses revealed that Chinese EFL teachers' psychological capital can strongly predict their job commitment and academic optimism. The conclusion and implications of the results are finally discussed and it is mentioned that both educational authorities and teachers can benefit from this study and make the experience of teaching much more productive.Entities:
Keywords: EFL teachers; academic optimism; job commitment; language learning; positive psychology; psychological capital
Year: 2022 PMID: 35923728 PMCID: PMC9341325 DOI: 10.3389/fpsyg.2022.916433
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Reliability of the questionnaires.
| Questionnaires | Cronbach’s alpha | No. of items |
| Teachers’ psychological capital | 0.912 | 24 |
| Commitment | 0.912 | 18 |
| Academic optimism | 0.969 | 40 |
Tests of normality.
| Kolmogorov-Smirnov | Shapiro-Wilk | |||||
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|
| |||||
| Statistic | df | Sig. | Statistic | df | Sig. | |
| PC | 0.043 | 315 | 0.200 | 0.980 | 315 | 0.000 |
| JC | 0.040 | 315 | 0.200 | 0.996 | 315 | 0.563 |
| AO | 0.097 | 315 | 0.000 | 0.976 | 315 | 0.000 |
*This is a lower bound of the true significance.
Model summary for Chinese EFL PC and JC.
| Model | R | R square | Adjusted R square |
| 1 | 0.472 | 0.222 | 0.220 |
ANOVA for Chinese EFL PC and JC.
| Model | Sum of squares | df | Mean square |
| Sig. | |
| 1 | Regression | 10013.990 | 1 | 10013.99 | 89.52 | 0.000 |
| Residual | 35013.197 | 313 | 111.86 | |||
| Total | 45027.187 | 314 | ||||
Coefficients for Chinese EFL PC and JC.
| Model | Unstandardized coefficients | Standardized coefficients |
| Sig. | ||
|
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| |||||
| B | Std. error | β | ||||
| 1 | (Constant) | 30.33 | 4.15 | 7.31 | 0.000 | |
| PC | 0.380 | 0.04 | 0.472 | 9.46 | 0.000 | |
Model summary for Chinese EFL PC and AO.
| Model | R | R square | Adjusted R square | Std. error of the estimate |
| 1 | 0.204 | 0.042 | 0.039 | 27.20619 |
ANOVA for Chinese EFL PC and AO.
| Model | Sum of squares | df | Mean square |
| Sig. | |
| 1 | Regression | 10080.01 | 1 | 10080.01 | 13.61 | 0.000 |
| Residual | 231675.36 | 313 | 740.17 | |||
| Total | 241755.37 | 314 | ||||
Coefficients for Chinese EFL PC and AO.
| Model | Unstandardized coefficients | Standardized coefficients |
| Sig. | ||
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| |||||
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| Std. error | β | ||||
| 1 | (Constant) | 149.830 | 10.675 | 14.036 | 0.000 | |
| PC | −0.381 | 0.103 | −0.204 | −3.690 | 0.000 | |