Predictors for stress in special education teachers: Policy lessons for teacher support and special needs education development during the COVID pandemic and beyond.
| Autor: | Rizvi Jafree, Sara, Burhan, Syeda Khadija, Mahmood, Qaisar Khalid |
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| Předmět: |
SPECIAL education
HEALTH policy STATISTICS JOB stress RESEARCH methodology CROSS-sectional method PSYCHOLOGY of teachers QUANTITATIVE research RISK assessment SURVEYS QUALITATIVE research DESCRIPTIVE statistics CHI-squared test RESEARCH funding LOGISTIC regression analysis DATA analysis software PSYCHOLOGICAL stress COVID-19 pandemic |
| Zdroj: | Journal of Human Behavior in the Social Environment; Jul2023, Vol. 33 Issue 5, p615-632, 18p, 4 Charts |
| Abstrakt: | There has been little research on the challenges facing special education teachers (SETs), since the COVID-19 pandemic. This study aimed to identify SETs predictors for stress and barriers to teaching effectiveness. Using a mixed methods cross-sectional design we sampled six public sector special needs institutes. A total of 205 quantitative surveys and 21 qualitative interviews were collected, respectively. Logistic bivariate regression results revealed seven factors predicting higher stress in SETs and qualitative themes further shed light on barriers to teacher efficacy. We conclude with key recommendations for the Special Education Sector and support for SETs, with implications for other developing regions. Abbreviations: SET: special edcation teachers; SSN: students with special needs [ABSTRACT FROM AUTHOR] |
| Databáze: | Complementary Index |
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