Browsing by Subject "school dropout"

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  • Lappalainen, Hanna (Helsingfors universitet, 2009)
    The objective of this study was to find factors that could predict educational dropout. Dropout risk was assessed against pupil's cognitive competence, success in school, and personal beliefs regarding self and parents, while taking into account the pupil's background and gender. Based on earlier research, an assumption was made that a pupil's gender, success in school, and parent's education would be related with dropping out. This study is part of a project funded by the Academy of Finland and led by Professor Jarkko Hautamäki. The project aims to use longitudinal study to assess the development of pupils' skills in learning to learn. The target group of this study consisted all Finnish speaking ninth graders of a municipality in Southern Finland. There were in total 1534 pupils, of which 809 were girls and 725 boys. The assessment of learning to learn skills was performed about ninth graders in spring 2004. "Opiopi" test material was used in the assessment, consisting of cognitive tests and questions measuring beliefs. At the same time, pupils' background information was collected together with their self-reported average grade of all school subjects. During spring 2009, the pupils' joint application data from years 2004 and 2005 was collected from the Finnish joint application registers. The data were analyzed using quantitative methods assisted by the SPSS for Windows computer software. Analysis was conducted through statistical indices, differences in grade averages, multilevel model, multivariate analysis of variance, and logistic regression analysis. Based on earlier research, dropouts were defined as pupils that had not been admitted to or had not applied to second degree education under the joint application system. Using this definition, 157 students in the target group were classified as dropouts (10 % of the target group): 88 girls and 69 boys. The study showed that the school does not affect the drop-out risk but the school class explains 7,5 % of variation in dropout risk. Among girls, dropping out is predicted by a poor average grade, a lack of beliefs supporting learning, and an unrealistic primary choice in joint application system compared to one's success in school. Among boys, a poor average grade, unrealistic choices in joint application system, and the belief of parent's low appreciation of education were related to dropout risk.
  • Mikkonen, Janne; Moustgaard, Heta; Remes, Hanna; Martikainen, Pekka (2018)
    Objectives To quantify how large a part of educational dropout is due to adverse childhood health conditions and to estimate the risk of dropout across various physical and mental health conditions. Study design A registry-based cohort study was conducted on a 20% random sample of Finns born in 1988-1995 (n = 101 284) followed for school dropout at ages 17 and 21. Four broad groups of health conditions (any, somatic, mental, and injury) and 25 specific health conditions were assessed from inpatient and outpatient care records at ages 10-16 years. We estimated the immediate and more persistent risks of dropout due to health conditions and calculated population-attributable fractions to quantify the population impact of childhood health on educational dropout, while accounting for a wide array of sociodemographic confounders and comorbidity. Results Children with any health condition requiring inpatient or outpatient care at ages 10-16 years were more likely to be dropouts at ages 17 years (risk ratio 1.71, 95% CI 1.61-1.81) and 21 years (1.46, 1.37-1.54) following adjustment for individual and family sociodemographic factors. A total of 30% of school dropout was attributable to health conditions at age 17 years and 21% at age 21 years. Mental disorders alone had an attributable fraction of 11% at age 21 years, compared with 5% for both somatic conditions and injuries. Adjusting for the presence of mental disorders reduced the effects of somatic conditions. Conclusions More than one fifth of educational dropout is attributable to childhood health conditions. Early-onset mental disorders emerge as key targets in reducing dropout.