| Literature DB >> 29867634 |
Lu Minghui1, Hao Lei2, Chen Xiaomeng3, Miloň Potměšilc4.
Abstract
This paper investigates the relationship between teacher efficacy and socio-demographic factors, work engagement, and social support among Chinese special education school teachers. The sample comprised 1,027 special education school teachers in mainland China. The Teachers' Sense of Efficacy Scale, the Multi-Dimensional Scale of Perceived Social Support, and the Utrecht Work Engagement Scale were used for data collection. Correlation analysis revealed that social support, work engagement, and teacher efficacy were significantly correlated with each other. Additionally, gender, years of experience, and monthly salary were significant predictors of teacher efficacy. Furthermore, structural equation modeling analysis showed that social support exerted its indirect effect on teacher efficacy through the mediation of work engagement. The findings of this study provide a new perspective on the complex association between social support and teacher efficacy. The explanations and limitations of these findings are discussed.Entities:
Keywords: Chinese special education school teachers; social support; teacher efficacy; work engagement
Year: 2018 PMID: 29867634 PMCID: PMC5949842 DOI: 10.3389/fpsyg.2018.00648
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Socio-demographic characteristics of the sample.
| Demographic variables | Female | Male | Total |
|---|---|---|---|
| Number | 775 (75.4%) | 252 (24.6%) | 1027 (100%) |
| Age ( | 35.43 ± 7.66 | 38.21 ± 7.39 | 36.22 ± 7.56 |
| Years’ experience ( | 11.09 ± 7.80 | 13.81 ± 7.99 | 11.65 ± 6.31 |
| Monthly salary | |||
| ≤4000 RMB ($634.92) | 287 | 88 | 375 (36.6%) |
| 4000–6000 RMB ($634.92–$952.38) | 268 | 96 | 364 (35.4%) |
| 6000–8000 RMB ($952.38–$1269.84) | 128 | 54 | 182 (17.7%) |
| ≥8000 RMB ($1269.84) | 92 | 14 | 106 (10.3%) |
| Whether satisfied with salary | |||
| Satisfied with salary | 508 | 121 | 629 (61.3%) |
| Not satisfied with salary | 267 | 131 | 398 (38.7%) |
Descriptive statistics and correlations between the measured variables.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| (1) FAS | 22.11 | 4.27 | 1 | ||||||||
| (2) FRS | 21.20 | 4.10 | 0.555∗∗ | 1 | |||||||
| (3) OS | 20.66 | 4.13 | 0.516∗∗ | 0.636∗∗ | 1 | ||||||
| (4) VI | 20.03 | 8.69 | 0.192∗∗ | 0.210∗∗ | 0.278∗∗ | 1 | |||||
| (5) DE | 17.18 | 8.03 | 0.181∗∗ | 0.243∗∗ | 0.274∗∗ | 0.758∗∗ | 1 | ||||
| (6) AB | 18.95 | 6.37 | 0.219∗∗ | 0.270∗∗ | 0.318∗∗ | 0.710∗∗ | 0.741∗∗ | 1 | |||
| (7) SE | 48.03 | 9.44 | 0.375∗∗ | 0.329∗∗ | 0.330∗∗ | 0.251∗∗ | 0.208∗∗ | 0.236∗∗ | 1 | ||
| (8) IS | 50.43 | 8.69 | 0.389∗∗ | 0.335∗∗ | 0.294∗∗ | 0.224∗∗ | 0.187∗∗ | 0.233∗∗ | 0.731∗∗ | 1 | |
| (9) CM | 53.21 | 9.19 | 0.364∗∗ | 0.295∗∗ | 0.237∗∗ | 0.219∗∗ | 0.190∗∗ | 0.179∗∗ | 0.723∗∗ | 0.698∗∗ | 1 |
Hierarchical multiple regression results predicting teacher efficacy.
| Predictor | Step 1 | Step 2 | ||
|---|---|---|---|---|
| β | β | |||
| Gender of teachers | ||||
| Female | 0.091 | 2.356∗ | 0.067 | 2.273∗ |
| Years’ of experience | 0.197 | 6.536∗∗ | 0.134 | 4.548∗∗ |
| Monthly salary | ||||
| 4000–6000 RMB | 0.117 | 2.673∗ | 0.054 | 1.099 |
| 6000–8000 RMB | 0.165 | 2.972∗ | 0.104 | 2.677∗ |
| ≥8000 RMB | 0.281 | 3.185∗∗ | 0.189 | 2.915∗ |
| Family support | 0.246 | 6.730∗∗ | ||
| Friend support | 0.168 | 4.117∗∗ | ||
| Other support | 0.007 | 0.171 | ||
| Vigor | 0.301 | 3.833∗∗ | ||
| Dedication | 0.066 | 1.018 | ||
| Absorption | 0.088 | 1.195 | ||
| 0.059 | 0.256 | |||
| 22.263∗∗ | 40.507∗∗ | |||
| ΔR2 | 0.059 | 0.197 | ||
| ΔF | 22.263∗∗ | 15.379∗∗ | ||
Fit indices of the partial mediation model.
| χ2 | df | χ2/df | RMSEA | SRMR | NFI | TLI | CFI | IFI | RFI |
|---|---|---|---|---|---|---|---|---|---|
| 96.862 | 24 | 4.036 | 0.054 | 0.033 | 0.980 | 0.978 | 0.985 | 0.985 | 0.970 |