| Literature DB >> 36199972 |
Baocheng Pan1, Hongyu Wu1, Xianhua Zhang2.
Abstract
Purpose: Teaching is a tough and stressful profession. Teachers' pressure and job burnout have become a common and serious problem, which makes teachers' subjective well-being feel a serious impact. The kindergarten environment is challenging and unique. The educational objects faced by kindergarten teachers are usually immature, which brings challenges to the teaching of kindergarten teachers. At the same time, in China, kindergarten teachers also need to undertake daily administrative management and other tasks. Therefore, focusing on the subjective well-being of kindergarten teachers in developing countries during the stage of the COVID-19 pandemic has important implications for promoting teacher well-being globally. Patients andEntities:
Keywords: emotional intelligence; kindergarten teacher; subjective well-being; trait mindfulness; work–family balance
Year: 2022 PMID: 36199972 PMCID: PMC9529014 DOI: 10.2147/PRBM.S381976
Source DB: PubMed Journal: Psychol Res Behav Manag ISSN: 1179-1578
Figure 1Conceptual framework.
Social Demographic Features of Participants (N = 321)
| Variables | Percentages | |
|---|---|---|
| Gender | Male | 2.20% |
| Female | 97.80% | |
| Age | 25–27 | 85.10% |
| 28–30 | 6.20% | |
| 31–33 | 5.60% | |
| 34–36 | 3.10% | |
| Educational Background | Junior college | 72.60% |
| Undergraduate course | 27.40% |
Means, Standard Deviations, and Correlations of the Major Study Variables
| Variable | M | SD | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Gender | 0.980 | 0.146 | 1 | |||||||||||||
| 2. Age | 27.020 | 2.299 | −0.017 | 1 | ||||||||||||
| 3. Educational Background | 1.270 | 0.447 | 0.092 | −0.055 | 1 | |||||||||||
| 4. Observe | 3.183 | 0.800 | 0.091 | 0.052 | −0.034 | 1 | ||||||||||
| 5. Describe | 3.431 | 0.725 | 0.059 | 0.067 | −0.017 | 0.530** | 1 | |||||||||
| 6. ActAware | 3.427 | 0.913 | 0.079 | 0.061 | −0.007 | 0.530** | 0.581** | 1 | ||||||||
| 7. NonJudge | 3.245 | 0.670 | 0.098 | 0.069 | 0.099 | 0.589** | 0.505** | 0.421** | 1 | |||||||
| 8. NonReact | 3.360 | 0.842 | 0.133* | 0.078 | −0.009 | 0.507** | 0.504** | 0.663** | 0.492** | 1 | ||||||
| 9. SEA | 4.386 | 1.281 | −0.03 | 0.039 | 0.022 | 0.110* | 0.278** | 0.195** | 0.249** | 0.213** | 1 | |||||
| 10. OEA | 4.258 | 1.379 | −0.003 | 0.043 | 0.141* | 0.263** | 0.327** | 0.239** | 0.303** | 0.285** | 0.497** | 1 | ||||
| 11. UOE | 4.559 | 1.346 | −0.009 | −0.016 | 0.057 | 0.280** | 0.217** | 0.303** | 0.126* | 0.136* | 0.539** | 0.420** | 1 | |||
| 12. ROE | 4.527 | 1.269 | −0.056 | −0.033 | 0.046 | 0.248** | 0.231** | 0.189** | 0.301** | 0.218** | 0.480** | 0.455** | 0.360** | 1 | ||
| 13. WFB | 3.421 | 0.670 | 0.041 | 0.121* | 0.002 | 0.251** | 0.231** | 0.195** | 0.280** | 0.229** | 0.254** | 0.242** | 0.230** | 0.242** | 1 | |
| 14. SWB | 3.911 | 0.940 | 0.036 | 0.136* | 0.012 | 0.296** | 0.408** | 0.305** | 0.304** | 0.272** | 0.365** | 0.320** | 0.292** | 0.251** | 0.492** | 1 |
Note: ** p < 0.01, * p < 0.05. Gender is the dummy variable (0 = male, 1 = female).
Abbreviations: SEA, self-emotion appraisal; OEA, others’ emotion appraisal; UOE, use of emotion; ROE, regulation of emotion; WFB, work–family balance; SWB, subjective well-being.
Fit Indices of the Model
| Fit Indices | Recommended Threshold | Scores | Remarks |
|---|---|---|---|
| ML χ2 | – | 324.585 | – |
| Df | – | 215 | – |
| χ2/df | 1 < χ2/df < 3 | 1.510 | Acceptable |
| CFI | > 0.9 | 0.953 | Acceptable |
| TLI | > 0.9 | 0.945 | Acceptable |
| RMSEA | < 0.08 | 0.040 | Acceptable |
| SRMR | < 0.08 | 0.041 | Acceptable |
Abbreviations: CFI, comparative fit index; TLI, Tucker Lewis index; RMSEA, root mean squared error of approximation; SRMR, standardised root mean squared residual.
The Direct Effect of the Research Paths and Research Model Hypothesis Analysis
| DV | IV | Std.Est. | S.E. | Est./S.E. | P-value | R2 | Hypo and Path | Remarks |
|---|---|---|---|---|---|---|---|---|
| SWB | TM | 0.211 | 0.072 | 2.923 | 0.003 | 0.476 | H1: TM → SWB | Support |
| EI | 0.248 | 0.076 | 3.269 | 0.001 | H2b: EI → SWB | Support | ||
| WFB | 0.413 | 0.074 | 5.561 | *** | H3b: WFB → SWB | Support | ||
| EI | TM | 0.470 | 0.066 | 7.146 | *** | 0.238 | H2a: TM → EI | Support |
| WFB | TM | 0.199 | 0.076 | 2.607 | 0.009 | 0.195 | H3a: TM → WFB | Support |
| EI | 0.300 | 0.076 | 3.918 | *** | H4: EI → WFB | Support |
Note: ***p < 0.001.
Abbreviations: SWB, subjective well-being; TM, trait mindfulness; EI, emotional intelligence; WFB, work–family balance.
The Indirect Effect of the Research Paths
| Path | Std.Est. | S.E. | Est./S.E. | P-value | Boot LLCI | Boot ULCI | The Proportion of the Effect |
|---|---|---|---|---|---|---|---|
| H2: TM → EI → SWB | 0.164 | 0.061 | 2.690 | 0.007 | 0.067 | 0.314 | 24.92% |
| H3: TM → WFB → SWB | 0.115 | 0.050 | 2.329 | 0.020 | 0.034 | 0.238 | 17.48% |
| H5: TM → EI → WFB → SWB | 0.082 | 0.029 | 2.818 | 0.005 | 0.040 | 0.164 | 12.46% |
| TOTALIND | 0.361 | 0.083 | 4.354 | *** | 0.225 | 0.553 | 54.86% |
| TOTAL | 0.658 | 0.106 | 6.218 | *** | 0.460 | 0.876 | 100.00% |
Note: ***p < 0.001.
Abbreviations: SWB, subjective well-being; TM, trait mindfulness; EI, emotional intelligence; WFB, work–family balance.
Figure 2Structural equation model.