Determinants of High-School Dropout: A Longitudinal Study in a Deprived Area of Japan

Tabuchi, Takahiro; Fujihara, Sho; Shinozaki, Tomohiro; Fukuhara, Hiroyuki

doi:10.2188/jea.je20170163

Cited by 15 publications

(11 citation statements)

References 27 publications

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“…For the outcomes variables, the predictive of IAFREE should be tested towards rates of unemployment in the future (Marchbanks et al, 2014), levels of stress, mental disorders, decreased quality of life, illiteracy, and rates of crime and poverty (Dever and Raines, 2013;Nelson et al, 2016). In addition, future research could investigate 10.3389/fpsyg.2023.1189283 Frontiers in Psychology 15 frontiersin.org these correlates through a longitudinal design (Tabuchi et al, 2018). Finally, as previously stated, accomplishing the aforementioned research agenda might contribute to educational intervention programs.…”

Section: Limitation and Future Directionmentioning

confidence: 88%

Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students

de Vasconcelos,

Freires,

Loureto

et al. 2023

Front. Psychol.

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IntroductionThere is a global effort to address the school dropout phenomenon. The urgency to act on it comes from the harmful evidence that school dropout has on societal and individual levels. Early Warning Systems (EWS) for school dropout at-risk student identification have been developed to anticipate and help schools have a better chance of acting on it. However, several studies point to a doubt that Correct EWS may come too late because they use only publicly available and general student and school information. We hypothesize that having a tool to assess more subjective and inter-relational factors would help anticipate where and when to act to prevent school dropout. This study aimed to develop a multidimensional measure for assessing relational factors for predicting school dropout (SD) risk in the Brazilian context.MethodsWe performed several procedures, including (a) the specialized literature review, (b) the item development of the Relational Factors for the Risk of School Dropout Scale (IAFREE in Portuguese), (c) the content validity analysis, (d) a pilot study, and (e) the administration of the IAFREE to a large Brazilian sample of high school and middle school students (N = 15,924).ResultsAfter the theoretical steps, we found content validity for five relational dimensions for SD (Student-School, Student-School Professionals, Student-Family, Student-Community, and Student–Student) that include 12 facets of risk factors. At the empirical stage, confirmatory analysis corroborated the proposed theoretical model with 12 first-order risk factors and 5 s-order dimensions (36 items). Further, through the Item Response Theory analysis, we assessed the individual item parameters of the items, providing a brief measure without losing psychometric quality (IAFREE-12).DiscussionWe discuss how this model may fill gaps in Correct EWS models and how to advance it. The IAFREE is a good measure for scholars investigating the risk of SD. These results are important for implementing an early warning system for SD that looks into the complexity of the school dropout phenomenon.

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Section: Limitation and Future Directionmentioning

confidence: 88%

Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students

de Vasconcelos,

Freires,

Loureto

et al. 2023

Front. Psychol.

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“…Family environment risk factors are indicators of high levels of absenteeism (Fornander & Kearney, 2019). Parents' abuse and neglect of children are a reason for school absenteeism (Tabuchi et al, 2018). Lack of parental engagement, absenteeism follow-up, interest in assignments and academic support are some of the reasons for school absenteeism (Hendron & Kearney, 2016).…”

Section: Parental Reasonsmentioning

confidence: 99%

Student absenteeism in high schools: factors to consider

Özcan

2022

Journal of Psychologists and Counsellors in Schools

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This study aimed to investigate the reasons for school absenteeism among students studying at different types of high schools, and school counsellors’ practices and proposed solutions for reducing school absenteeism. This was a qualitative research conducted with a phenomenological design. The study group was formed using criterion sampling, one of the purposive sampling methods. The research was conducted in Turkey during the 2018–2019 academic year with 21 school counsellors working at different types of high schools and having at least 5 years of experience. The school counsellors were asked four questions on school absenteeism using a semistructured interview form. Each interview took 30–45 minutes and interview notes were taken synchronously. According to the research findings, poor academic outcomes, parental involvement, school management and school schedules, as well as health issues and a lack of social activities are the main factors influencing school absenteeism. Potential solutions that can be offered by school counsellors include increasing family involvement, improving the school climate, addressing health issues, planning new social activities and offering flexible syllabus options for students.

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“…In a study, Tabuchi et al (2018) analysed the determinants of high school dropouts in Japan's deprived areas. The Frequency Ratios (PRs) for high-school dropout were determined employing multivariable log-binomial regression models with Multiple Imputation (MI) to compensate for non-response at follow-up.…”

Section: Chenge Et Al (2017) Investigated School Drop Out Of Children Caused By Family Factors Inmentioning

confidence: 99%

Assessment of the Socio-economic determinants of school children dropouts in rural areas of district Peshawar, Pakistan

Zeb¹,

Gul²,

Mingyan³

et al. 2021

Lib. Arts Soc. Sci. Int. J.

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Children dropping out from schools is one of common phenomena in the modern world. Different demographic, socio-economic, psychological, school based, and community factors are responsible for the number of children school dropout across the globe. Using convenient sampling technique, through questionnaire and interview methods primary data was collected from 400 household heads whose children were dropped out from schools in rural areas of district Peshawar during last five years. For this purpose, a structured questionnaire and interviews were conducted to obtain the required data. Results of the study reveal that, in case of boys, more than 60% of the respondents were of the view that poverty is the main reason for children's school dropout. In the case of girls school dropouts, 45% left studies incomplete because of poor financial position. Other determinants such as father education, mother education, school distance, illiterate community, the parental perception was also considered more or less responsible for school dropout of the children. This study recommends that government should provide free education along with monetary incentives to those household heads who do not send their children to schools due to financial constraints.

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Determinants of High-School Dropout: A Longitudinal Study in a Deprived Area of Japan

Cited by 15 publications

References 27 publications

Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students

Advancing school dropout early warning systems: the IAFREE relational model for identifying at-risk students

Student absenteeism in high schools: factors to consider

Assessment of the Socio-economic determinants of school children dropouts in rural areas of district Peshawar, Pakistan

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