Pandemi Döneminde Mevsimlik Tarım İşçisi Çocukların Okul Terki Riski İle İlişkili Faktörler
Özet
The main aim of this research is to examine the subjective well-being, hope, family life satisfaction, school climate, and school dropout risks of seasonal agricultural worker children based on various sociodemographic variables during the coronavirus pandemic. Additionally, the study aims to demonstrate the predictive power of these variables on school dropout risk. In this context, the Student Subjective Well-being Scale, Hope Scale, Family Life Satisfaction Scale, School Climate Scale, and School Dropout Risk Scale were administered to 369 seasonal agricultural worker children in middle school in Suruç, Şanlıurfa. The data collected from the scales were analyzed using the SPSS 26 software package. Independent samples t-test was employed to examine whether there was a significant difference in school dropout risk based on gender. ANOVA analysis was conducted to test for significant differences based on grade level. Female students scored significantly higher than males in subjective well-being, family life satisfaction, and school climate. When examining differences by grade level, 8th-grade students had significantly higher scores in subjective well-being, hope, family life satisfaction, and school dropout risk compared to other grades. A hierarchical regression analysis was conducted to determine the predictive power of subjective well-being, hope, family life satisfaction, and school climate attitudes on school dropout risk. The analysis indicated that subjective well-being, family life satisfaction, and school climate scores significantly predicted dropout risk. The findings were discussed and interpreted within the relevant literature framework, and recommendations were provided based on the results. The main aim of this research is to examine the subjective well-being, hope, family life satisfaction, school climate, and school dropout risks of seasonal agricultural worker children based on various sociodemographic variables during the coronavirus pandemic. Additionally, the study aims to demonstrate the predictive power of these variables on school dropout risk. In this context, the Student Subjective Well-being Scale, Hope Scale, Family Life Satisfaction Scale, School Climate Scale, and School Dropout Risk Scale were administered to 369 seasonal agricultural worker children in middle school in Suruç, Şanlıurfa. The data collected from the scales were analyzed using the SPSS 26 software package. Independent samples t-test was employed to examine whether there was a significant difference in school dropout risk based on gender. ANOVA analysis was conducted to test for significant differences based on grade level. Female students scored significantly higher than males in subjective well-being, family life satisfaction, and school climate. When examining differences by grade level, 8th-grade students had significantly higher scores in subjective well-being, hope, family life satisfaction, and school dropout risk compared to other grades. A hierarchical regression analysis was conducted to determine the predictive power of subjective well-being, hope, family life satisfaction, and school climate attitudes on school dropout risk. The analysis indicated that subjective well-being, family life satisfaction, and school climate scores significantly predicted dropout risk. The findings were discussed and interpreted within the relevant literature framework, and recommendations were provided based on the results.
