- 1School of Teacher Education, Anqing Normal University, Anqing, China
- 2Institute of Educational Neuroscience, Anqing Normal University, Anqing, China
- 3Affective Computing and Intelligent Learning Cognitive Psychology Experimental Center, Anqing Normal University, Anqing, China
Purpose: This study aimed to explore the relationship between self-efficacy and resilience in Chinese secondary vocational students and examine the mediating effect of emotional intelligence.
Methods: In September 2023, a cross-sectional survey was conducted in 282 Chinese students from three secondary vocational schools by using a voluntary and anonymous structured questionnaire, which included a general self-efficacy scale (GSES), emotional intelligence scale (EIS), and resilience scale (RS). The data were analyzed using SPSS 26.0 software and macro PROCESS.
Results: The scores of self-efficacy, emotional intelligence, and resilience of Chinese secondary vocational students were above the average level. Correlations among the self-efficacy, emotional intelligence, and resilience levels of students were significant. The analyses of mediating effect showed that emotional intelligence partially mediated the influence of self-efficacy on resilience of secondary vocational students.
Conclusion: Self-efficacy was positively associated with resilience. Self-efficacy not only has a direct effect on the resilience of secondary vocational students but it also indirectly affects the resilience through the mediating role of emotional intelligence. These findings valuable for designing the secondary vocational school programs aimed at improving students’ psychological resilience.
Introduction
With the rapid development of Chinese economy, the demand for skilled professionals has become increasingly prominent (1). In this context, the number of secondary vocational schools has been steadily increasing, making secondary vocational students a significant part of China's youth. Professional training provided during vocational education equips young secondary vocational school students with necessary skills and competencies that are immediately valuable in the workplace and can reduce the risk of unemployment in the early years when teenagers enter the labor market (2). In 2022, the number of secondary vocational schools (including technical schools) in China was 7,201, enrolling 4,847,800 students, which accounts for 33.85% of the total number of students enrolled in senior high schools. In addition, the mental health condition of this group is of great concern to the public because of the challenges and dilemma they encounter in their study and life (3). Compared with ordinary high school students, secondary vocational students always experience family and social prejudice and are more prone to mental health problems (4, 5). Lu used the Chinese Secondary School Students Mental Health Scale (MSSMHS) to investigate 833 students from secondary vocational schools in X County, Guizhou Province, and found that the mental health problems of secondary vocational students include mainly obsessive tendency, anxiety, emotional instability, learning pressure, interpersonal relationship, and other factors (6). Thus, there is an urgent need to focus on the mental health status of secondary vocational students.
Resilience is an important mental resource for an individual to maintain positive adaptation in the face of challenging events and adverse situations. When facing problems in parent–child relationship or interpersonal relationships, resilient individuals tend to adopt more confrontational, proactive, and problem-solving coping strategies. In addition, resilience is also positive psychological resource to make the vocational students more employable (2). Thus, providing training and developing resilience among secondary vocational students have become crucial for improving their mental health and career development.
According to Bandura’s social cognitive theory, self-efficacy is a subjective self-evaluation and belief derived from an individual’s own experiences (7), that is, the result of an individual’s evaluation of whether they can successfully complete a certain achievement behavior, which could be divided into three dimensions: magnitude, strength, and generality (8); After the self-assessment, an individual tends to set appropriate goals based on the evaluation results and determine the plan to achieve them (9). Previous studies have evidenced that adolescents with high self-efficacy are self-confident and less susceptible to mental disorders when they encounter setbacks, and show higher academic performance (10, 11). Andriani et al. showed that self-efficacy has a positive relationship with learning motivation (8). Strengthening self-efficacy can also improve the learning outcomes of vocational education students (12).
Emotional intelligence refers to a series of non-cognitive abilities and skills for an individual to recognize and monitor their or others’ emotions and was proved to be positively correlated with self-efficacy (13, 14), mental health (15, 16), job performance (17), and positive adolescent development (12, 13). Numerous studies have suggested that emotional intelligence has a good predictive effect on resilience, stating that resilient people better understand and manage their emotions, which could also be related to higher levels of emotional intelligence (13, 18, 19). Teenagers are in a critical period of personality development, and their emotional state directly affects their mental health and future development (20). Secondary vocational students with a higher level of emotional intelligence can be more resilient (21).
According to the society-to-cells resilience theory (22), emotional regulation ability and optimism are important characteristics for building mental resilience. Therefore, it seems reasonable to infer that there may be potential interactions between self-efficacy, emotional intelligence and resilience.
Taken together, the relationship between self-efficacy and resilience of secondary vocational students has attracted the attention of researchers. Emotional intelligence, self-efficacy, and resilience appear to be highly correlated with each other in theory (23–25), however, the mechanism of influence of self-efficacy on emotional intelligence and resilience remains unclear. On the one hand, self-efficacy seems to be a predictor of emotional intelligence, and emotional intelligence is the individual’s ability to control emotions and could provide a cognitive judgment to regulate self-efficacy. On the other hand, according to the related theoretical framework of resilience, self-efficacy is one of the important protective factors of resilience (26). In addition, a significant positive correlation between emotional intelligence and resilience has been demonstrated (14, 27). Against this backdrop, this study attempts to identify the effect of self-efficacy on the resilience of secondary vocational students and the possible mediating role of emotional intelligence between these two variables, aiming to provide a reference for preparing the school program to improve secondary vocational students’ psychological resilience. Based on this, we hypothesized that. 1) self-efficacy, emotional intelligence, and resilience of secondary vocational school students would be correlated. 2) the self-efficacy of secondary vocational school students would predict resilience. 3) emotional intelligence would play a mediating role between self-efficacy and resilience in secondary vocational school student.
Materials and methods
Special Committee for Scientific Research and Academic Ethics of Anqing Normal University reviewed and approved this study. Informed consent was obtained from the study participants or their guardians before the study began, and guidelines outlined in the Declaration of Helsinki were followed.
Sampling and participants
The sample size calculator can be freely accessed at www.raosoft.com/samplesize.html. A total of 282 subjects from three secondary vocational schools in Anhui Province of China were selected as the objects of investigation by using the cluster sampling method. After obtaining informed consent from the subjects, or their guadians the participants were tested in a group using unified guidance language, and the questionnaires were uniformly collected. A total of 281 (99.65%) valid questionnaires were collected. After eliminating unusable ones (such as answers with a missing rate of over 50%, incomplete information or regular answers), 267 valid questionnaires were retained, with a valid rate of 94.68%. The students’ average age was 16.35 years (SD = 1.58), ranging from 14 to 20 years. Among them, 128 were male students, accounting for 47.94%; 157 students were from the rural area, accounting for 58.80%; and 124 students had good family relationship, accounting for 46.44% of the total.
Socio-demographic information
The socio-demographic information collected in this study included age, gender, grade, birthplace (urban vs. rural), and family relation (good vs. bad).
Research instruments
The structured questionnaire consisted of three separate scales developed or modified by local researchers in China and were suitable for assessing the subjects of this study.
General self-efficacy scale
The general self-efficacy scale (GSES) was developed by Ralf Schwarzer, and it was later revised and adopted to Chinese culture by Wang (28). It was used to check the overall self-evaluation of secondary vocational students (29). The scale contains 10 items, such as “I can always solve problems if I try my best. ” It uses Likert’s four-point scoring method, with “1” denoting “not at all true,” “2” denoting “somewhat incorrect,” “3” denoting “mostly true,” and “4” denoting “exactly true.” A higher score implied higher self-efficacy. The value of Cronbach’s α of this scale was.88. The prediction validity of GSES was tested by using anxiety as criterion. There was a significant negative correlation between GSES and trait anxiety, state anxiety and test anxiety (TAS), and the correlation coefficients were -.301,.422 and.253, respectively.
Emotional intelligence scale
The emotional intelligence scale (EIS) was developed by Schutte et al. in 1988 and later translated and revised by Liu (30). This scale has been widely used in China (31, 32) and consists of 21 items, such as “I can always solve problems if I try my best,” and four dimensions, namely regulation of perceived emotions, self-emotion management, others’ emotion management, and emotion application. Likert’s five-point scoring method was adopted, with “1” representing “strongly disagree” and “5” representing “strongly agree.” A higher score implied a higher level of emotional intelligence. The value of Cronbach’s α coefficient of this scale was.92. The pairwise correlation among the factors was significant, and the correlation coefficient was between .294 and .462, which was a low to moderate positive correlation. The correlation coefficient between the factors and the total score was ranging from .616 to .800, which denote strong positive correlation, indicating that each factor was consistent with the overall concept.
Resilience scale of adolescents
The Resilience Scale of Adolescents (RS) developed by Hu and Gan (33) was used in this study (33). This scale has been widely used in China (34) and comprises a total of 27 items, such as “My life has a clear purpose, “ and 5 dimensions, including goal concentration, emotional control, positive cognition, family support, and interpersonal assistance (34). It uses Likert’s five-point scoring method, with 1 indicating completely inconsistent, 2 indicating inconsistent, 3 indicating not sure, 4 indicating consistent, and 5 indicating completely consistent. A higher score implied a higher level of resilience. The internal consistency coefficient of the scale was .88, and the internal consistency coefficient of the subscale was ranging from.69 -.83. The pairwise correlation among the factors was significant, and the correlation coefficient was between.12 and.56, which was a low to moderate positive correlation. The correlation coefficient between the factors and the total score was ranging from.54 to.73, which was medium to high positive correlation, indicating that each factor was consistent with the overall concept.
Statistical analysis
SPSS26.0 and macro PROCESS were used for data processing and analysis. Descriptive statistical analysis, independent sample t test, Pearson correlation analysis, regression analysis, and mediation effect tests were the statistical methods used in this study.
Before the analysis, all data were tested for normality and were found to fulfill the criteria. The skewness coefficient method was used to test whether the scores obtained show normal distribution (35). The skewness values obtained for different scales used in this study were -.445 for the “General Self-efficacy Scale”, “-.728” for the “Emotional Intelligence Scale,” and “.365” for the “Resilience Scale of Adolescents.” The normally distributed data are expressed as the mean ± standard deviation, and the numerical data are expressed as n.
Results
Common method variance
Following the recommendations of Williams and McGonagle (36), Harman’s single-factor test was used for determining the common method variance bias. Variance was found to be less than the threshold of <25%, indicating that common method variance was not present (36).
Comparison of total scores of self-efficacy, emotional intelligence, and resilience in secondary vocational students with different demographic variables
The scores of self-efficacy, emotional intelligence, and resilience of Chinese secondary vocational students were above the average level. The total score of resilience and emotional intelligence did not differ between the male and female students. The self-efficacy score of boys was significantly higher than that of girls (t = 2.77, p < 0.01). The scores of self-efficacy (t = -2.80, p < 0.01) and resilience (t = -3.48, p < 0.01) of urban students were significantly higher than those of students from rural areas. In addition, the total scores of resilience (t = 3.12, p < 0.01) and self-efficacy (t = 4.38, p < 0.001) of secondary vocational students with different family relationships differed significantly (Table 1).
Correlation analysis of the studied variables
As shown in Table 2, Pearson’s product difference analysis was conducted between self-efficacy, emotional intelligence, and resilience of secondary vocational students. The result confirmed hypothesis 1 and revealed an obvious correlation among the three variables (p < 0.01).
Table 2 Correlation analysis of self-efficacy, emotional intelligence, and resilience of secondary vocational students.
Mediating role of emotional intelligence between self-efficacy and resilience
Regression analysis was used to test whether emotional intelligence has a mediating effect. Three models were used to analyze the mediating effect: Model 1, regression analysis of the independent variable (X) and the dependent variable (Y); Model 2, regression analysis of the independent variable (X) and the mediating variable (M); Model 3, regression analysis of the independent variable (X), mediating variable (M), and dependent variable (Y). It was assumed that if X affects Y by affecting M, then M is the mediating variable. Self-efficacy was considered as the independent variable (X), level of resilience was the dependent variable (Y), and emotional intelligence ability was assumed to be the intermediary variable (M). The regression analysis was performed, and the results are shown in Table 3.
Self-efficacy had a significant predictive effect on resilience and confirmed hypothesis 2 (β = .932, t = 7.168, p < 0.001), and this result was true even after addition of the intermediary variable emotional intelligence (β = .602, t = 4.035, p < 0.001). Self-efficacy was a significant predictor of emotional intelligence (β = .426, t = 7.250, p < 0.001), and emotional intelligence was a significant predictor of resilience (β =. 281, t = 4.162, p < 0.001). The confidence intervals were estimated then by Bootstrap method with deviation correction. The results showed that 95% confidence intervals did not contain 0, indicating that the mediating effect was significant, which validated Hypothesis 3. Self-efficacy of secondary vocational students can directly predict resilience. Resilience can also be affected through the mediating effect of emotional intelligence, and the proportion of intermediary effect was 16.59 %. According to the test results, the intermediary role model was constructed in this study, as shown in Figure 1.
Figure 1 The mediating role of emotional intelligence. The number represents the regression coefficient of the two variables connected by the arrow line. ***p < 0.001.
Discussion
Status of self-efficacy, emotional intelligence, and resilience of secondary vocational students
The self-efficacy of secondary vocational students was above the medium level, which is consistent with the findings of previous studies (12, 29). Compared with junior high school students, learning pressure among secondary vocational students is significantly low. Practical ability and employment-oriented learning content can mobilize students' learning enthusiasm, and therefore, secondary vocational students' learning interest was found to be significantly improved. All these factors contribute to the improvement of secondary vocational students' sense of self-efficacy.
The emotional intelligence of secondary vocational students was above the medium level. This result is in close agreement with that of a previous study conducted by Liu (29). Studies have shown that a variety of internal protective factors (such as emotional control ability and self-efficacy) and external environmental factors (such as relatives and peers) may affect the level of resilience of individuals (37). Moreover, the resilience of secondary vocational students was above the medium level, which is consistent with previous research (29, 38). Secondary vocational students are shunted to vocational schools after graduation from junior high school, and they may face more challenges in life (39). Having faced examinations such as the senior high school entrance examination and various setbacks in life, along with the accumulated personal experience and improved environmental adaptability, secondary vocational students tend to exhibit significantly higher levels of resilience
We also found that the level of resilience of secondary vocational students with good family relationships was significantly higher than that of secondary vocational students with bad family relationships, which is consistent with some previous research results (6). Family is the first and most important place for individuals’ growth, and therefore, family environment and atmosphere play a crucial role in cultivating an individual’s resilience. A good family relationship can enable secondary vocational students to obtain safety and love.
Relationship between self-efficacy, emotional intelligence, and resilience of secondary vocational students
This study provides evidence that higher levels of general self-efficacy predict higher levels of resilience, which is consistent with previous research findings (40, 41). Specifically, based on the results of previous studies and this study on secondary vocational school students, we determined that self-efficacy has a positive impact on the resilience of secondary vocational school students. Students with high levels of self-efficacy tend to be confident about their abilities and resources for overcoming challenges (23) and tend to develop different resilient behavioral responses to cope with stress and other negative experiences (40).
Research suggests that self-efficacy was positively correlated with emotional intelligence of secondary vocational school students, indicating its role as an important internal driving factor for promoting emotional intelligence of secondary vocational school students. This is in accordance with the results of previous studies (29, 40), which verified that a high level of self-efficacy could enhance students’ ability to manage emotions and deal with stress. Higher levels of self-efficacy implied higher levels of emotional intelligence of secondary vocational school students. Strengthening self-efficacy and emotional intelligence can improve the learning outcomes of vocational education students (40).
We also determined the impact of emotional intelligence on the resilience of secondary vocational students. Secondary vocational students with high emotional intelligence tend to be confident and adopt a positive coping style when dealing with stressful life events, implying that they tend to be more resilient in life (40).
Interestingly, this study revealed that emotional intelligence serves as a partial mediating factor for the influence of self-efficacy on secondary vocational students’ resilience. These results confirm that self-efficacy influences secondary vocational school students’ resilience not only directly but also indirectly through emotional intelligence. Therefore, interventions that improve emotional intelligence as a strategy to enhance self-efficacy for promoting resilience are needed. The present study results also indicate that emotional intelligence plays an important role in enhancing secondary vocational students’ resilience, in agreement with the results of previous studies. Liu (2019) conducted a study on emotional intelligence and resilience of secondary vocational students and determined that there was a significant correlation between the two variables (29). Armstrong et al. studied the relationship between emotional intelligence and resilience and observed a strong correlation between them (21). Therefore, promoting the level of psychological resilience of secondary vocational students by improving their self-efficacy can be a promising strategy. Improving self-efficacy can also promote individuals’ emotional perception and positive regulation ability, thereby contributing to a positive change and enhancing resilience among secondary vocational students.
Implications for education
The results of this study highlight the necessity to design and implement intervention programs and active measures focused on self-efficacy and emotional intelligence, aiming to help secondary vocational school students to develop high resilience levels. In addition to daily learning activities, secondary vocational students should be encouraged to participate actively in outdoor activities, such as physical exercise, which can help them improve their self-confidence and self-efficacy, and further strengthen their psychological well-being (42). Administrators and teachers in secondary vocational schools should pay attention to cultivating the students' abilities, guide them to focus on their strengths, and strive to create a platform to display their talents. Finally, warm and friendly family atmosphere is a protective factor for the psychological development of adolescents. Family members should pay attention to the shaping of a good family environment in their daily life, which is conducive to the healthy development of secondary vocational school students.
Limitations and suggestions for future research
Several limitations of this study should be noted. First, the number of participants in the study is small. Secondly, the cross-sectional method was used for data collection from participants at a single point in time. In future studies, we can consider using longitudinal research methods to explore the continuous relationship between these different variables. In addition, the formation of resilience is not only affected by individual factors, but also by external factors such as family and school. In the follow-up research, other external variables can be included to achieve a deeper understanding of the development of psychological resilience of secondary vocational students.
Conclusion
We clarified the relationship between self-efficacy, emotional intelligence, and resilience of secondary vocational school students, and the key findings can be summarized are as follows:
(1) There is a pairwise positive correlation among self-efficacy, emotional intelligence, and resilience;
(2) The self-efficacy of secondary vocational school students could predict resilience;
(3) Emotional intelligence plays a partial mediating role in the influence of secondary vocational students’ self-efficacy on their resilience.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.
Ethics statement
The studies involving humans were approved by Special committee for scientific research and academic ethics of Anqing Normal University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants or their guardians provided their written informed consent to participate in this study.
Author contributions
RJ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.
Funding
The author declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by Anhui Philosophy and Social Science Fund Project (No. AHSKQ2021D46) (China).
Conflict of interest
The author declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1382881/full#supplementary-material
References
1. Wang XZ, Leng JQ, Cong XX, Fan ZG. Development of junior high school students to secondary vocational students stigma scale. Psychol Res Behav Manag. (2022) 15:2957–70. doi: 10.2147/PRBM.S381069
2. Sulistiobudi RA, Kadiyono AL. Employability of students in vocational secondary school: Role of psychological capital and student-parent career congruences. Heliyon. (2023) 9:e13214. doi: 10.1016/j.heliyon.2023.e13214
3. Anyamene A, Ejichukwu EC, Azuji IM. Self-efficacy as a predictor of secondary school students’ Social adjustment in anambra state. Int J Res Innovation Soc Sci. (2019) 3:355–9.
4. Fang Y, Zheng Y, Jin Y, Yu C, Zuo X, Lian Q, et al. Sexual-Related knowledge, school and family sexuality education and its association with experience of sexual intercourse among vocational secondary school students in China. Children. (2022) 9: 1206. doi: 10.3390/children9081206
5. Liu YB, Hou XY, Chen BB. Links between Chinese vocational school students’ perception of parents’ emotional support and school cooperation climate and their academic performance: The mediating role of school belonging. Front Psychol. (2022) 13:952001. doi: 10.3389/fpsyg.2022.952001
6. Lu CX, He XQ, Zeng DH, Wang HG, Chen ZG, Lai C. The influence of secondary vocational students' family environment on mental health–a case study of one secondary vocational school in Guizhou province. psychol monthly. (2023) 18:63–7. doi: 10.19738/j.cnki.psy.2023.04.017
7. Bandura A. Social cognitive theory: an agentic perspective. Asian J Soc Psychol. (1999) 2:21–41. doi: 10.1111/1467-839X.00024
8. Andriani I, Ruhaena L, Prihartanti N. Relationship between self-efficacy, emotional intelligence, and parental social support with learning motivation of university students in distance Learning during the Covid-19 Pandemic. J An-Nafs: Kajian Penelitian Psikologi. (2022) 7:153–70. doi: 10.33367/psi.v7i2.2315
9. Abdolrezapour P, Jahanbakhsh Ganjeh S, Ghanbari N. Self-efficacy and resilience as predictors of students' academic motivation in online education. PloS One. (2023) 18:e0285984. doi: 10.1371/journal.pone.0285984
10. Barbaranelli C, Paciello M, Biagioli V, Fida R, Tramontano C. Positivity and behavior: the mediating role of self-efficacy in organizational and educational settings. J Happiness Stud. (2018) 20:707–27. doi: 10.1007/s10902–018-9972–4
11. Ichikawa H, Goto Y, Matsuda K, Hakur J. Practice and evaluation of project based learning with mixed grade. Comput Software. (2019) 36:3–13. doi: 10.11309/jssst.36.3
12. Martanto R, Sudira P, Mutohhari F, Nurtanto M, Astuti M. The effect of self-efficacy and emotional intelligence on project-based learning in vocational education. Kwangsan: Jurnal Teknologi Pendidikan. (2022) 10:15. doi: 10.31800/jtp.kw.v10n1
13. Pérez-Fuentes MC, Jurado MM,A, Linares JG. Family functioning, emotional intelligence, and values: Analysis of the relationship with aggressive behavior in adolescents. Int J Environ Res Public Health. (2019) 16:478. doi: 10.3390/ijerph16030478
14. Wu RS, Jing LP, Liu Y, Wang HL, Yang J. Effects of physical activity on regulatory emotional self-efficacy, resilience, and emotional intelligence of nurses during the COVID-19 pandemic. Front Psychol. (2022) 13:1059786. doi: 10.3389/fpsyg.2022.1059786
15. Wen Y, Chen HR, Pang LM, Gu X. The relationship between emotional intelligence and entrepreneurial self-efficacy of Chinese vocational college students. Int J Environ Res Public Health. (2020) 17:4511. doi: 10.3390/ijerph17124511
16. Aouani H, Slimani M, Ghouili H, Tod D, Znazen H, Bragazzi NL, et al. Emotional intelligence: A systematic comparison between young athletes and non-athletes, gender and age groups. Int J Sport Stud Health. (2022) 5:e128656. doi: 10.5812/intjssh-128656
17. O’Boyle EH, Humphrey RH, Pollack JM, Hawver TH, Story PA. The relation between emotional intelligence and job performance: A meta-analysis. J Organ Behav. (2011) 32:788–818. doi: 10.1002/job.714
18. Troy AS, Ford BQ, McRae K, Zarolia P, Mauss IB. Change the things you can: Emotion regulation is more beneficial for people from lower than from higher socioeconomic status. Emotion. (2017) 17:141–54. doi: 10.1037/emo0000210
19. Ang WHD, Lau Y. Trait emotional intelligence as a predictor of resilience among undergraduate nursing students: A structural equation modelling approach. Nurse Educ Today. (2024) 136:106132. doi: 10.1016/j.nedt.2024.106132
20. Chen HX, Pan X, Chen LL. The relationship between self-acceptance and mental health of vocational students in senior middle school. China J Health Psychol. (2013) 21:1242–4.
21. Armstrong AR, Galligan RF, Critchley CR. Emotional intelligence and psychological resilience to negative life events. Pers Individ Dif. (2011) 51:331–8. doi: 10.1016/j.paid.2011.03.025
22. Szanton SL, Gill JM. Facilitating resilience using a society-to-cells framework: a theory of nursing essentials applied to research and practice. Adv Nurs Sci. (2010) 33:329–43. doi: 10.1097/ANS.0b013e3181fb2ea2
23. Ainiyah N, Zahroh C, Khamida K, Budury S, Nurjanah S, Hasina SN, et al. Emotional intelligence and self-efficacy as predictor factors of student resilience in online learning during pandemic era. Open Access Macedonian J Med Sci. (2021) 30:40–3. doi: 10.3889/oamjms.2022.7854
24. Martínez-Pérez I, García-Rodríguez A, Morales-Rodríguez FM, Pérez-Mármol JM. Mindfulness abilities are associated with anxiety levels, emotional intelligence, and perceived self-efficacy. Sustainability. (2023) 15:4729. doi: 10.3390/su15064729
25. How W, Ang D, Lau Y. Trait emotional intelligence as a predictor of resilience among undergraduate nursing students_ A structural equation modelling approach. Nurse Educ Today. (2024) 136:106132. doi: 10.1016/j.nedt.2024.106132
26. Kumpfer KL. Factors and processes contributing to resilience. In: Resilience and development: positive life adaptations. Springer (2002). Boston. p. 179–224. G. M. D. a. J. J. L.
27. Akbari A, Khormaiee F. The prediction of mediating role of resilience between psychological well-being and emotional intelligence in students. Int J School Health. (2015) 2:e26238. doi: 10.17795/intjsh-26238
28. Wang CK, Hu ZF, Liu Y. Reliability and validity of general self-efficacy scale. Appl Psychol. (2001) 1):37–40.
29. Liu M. The relationship between emotional intelligence and coping style among the students in secondary vocational schools——multiple mediation effects of resilience and general self-efficacy. Hangzhou: Zhejiang University] (2019).
30. Liu YM. Study on the revision and characteristics of Schutte Emotional Intelligence Scale. Chongqing: Southwest University] (2008).
31. Sun GF, Lyu B. Relationship between emotional intelligence and self-efficacy among college students: the mediating role of coping styles. Discover Psychol. (2022) 2:42. doi: 10.1007/s44202–022-00055–1
32. Wang K, Li Y, Zhang T, Luo J. The relationship among college students' physical exercise, self-efficacy, emotional intelligence, and subjective well-being. Int J Environ Res Public Health. (2022) 19:11596. doi: 10.3390/ijerph191811596
33. Hu YQ, Gan YQ. Development and psychometric validity of resilience scale for Chinese adolescents. Acta psychologica Sin. (2008) 40:902–12. doi: 10.3724/SP.J.1041.2008.00902
34. Wei XY, Zhuang M, Xue LF. Father presence and resilience of Chinese adolescents in middle school: Psychological security and learning failure as mediators. Front Psychol. (2022) 13:1042333. doi: 10.3389/fpsyg.2022.1042333
35. Büyüköztürk Ş. Manual of data analysis for social sciences. 24 ed. Pegem Academy (2018). Ankara.
36. Williams L, McGonagle A. Four research designs and a comprehensive analysis strategy for investigating common method variance with self-report measures using latent variables. J Bus Psychol. (2016) 31:339–59. doi: 10.1007/s10869–015-9422–9
37. Zhang H. A study on the relationship between perceived social support, general self-efficacy and psychological resilience of three-year secondary vocational students. Nanjing: Nanjing Normal University] (2015).
38. Zhao SY. The relationship among self-identity, social support, and psychological resilience of secondary vocational school. Fuzhou: Fujian Normal University] (2020).
39. Zhang Q. Research progress of mental health status of secondary vocational students. Acad J Manage Soc Sci. (2023) 2:183–6. doi: 10.54097/ajmss.v2i3.8841
40. Gandhi S, Sahu M, Radhakrishnan G, Nattala P, Sudhir PM, Balachandran R. Psychological preparedness for pandemic (COVID-19) management: perceptions of nurses and nursing students in India. PloS One. (2020) 16:e0255772. doi: 10.1101/2020.09.24.20201301
41. Baluszek JB, Brønnick KK, Wiig S. The relations between resilience and self-efficacy among healthcare practitioners in context of the COVID-19 pandemic – a rapid review. Int J Health Governance. (2023) 28:152–64. doi: 10.1108/ijhg-11–2022-0098
Keywords: secondary vocational students, self-efficacy, emotional intelligence, resilience, survey
Citation: Jiang R (2024) The mediating role of emotional intelligence between self-efficacy and resilience in Chinese secondary vocational students. Front. Psychiatry 15:1382881. doi: 10.3389/fpsyt.2024.1382881
Received: 06 February 2024; Accepted: 29 May 2024;
Published: 09 July 2024.
Edited by:
Chong Chen, Yamaguchi University Graduate School of Medicine, JapanReviewed by:
Francisco Manuel Morales Rodríguez, University of Granada, SpainYuke Tien Fong, Singapore General Hospital, Singapore
Maura Pilotti, Prince Mohammad bin Fahd University, Saudi Arabia
Morteza Taheri, University of Tehran, Iran
Copyright © 2024 Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ruichen Jiang, MTgxMTUxNjAwNEBzdXMuZWR1LmNu