@article{d679de3c9ae642c48bd4325014459b3d,
title = "Mapping inequalities in school attendance: the relationship between dimensions of socioeconomic status and forms of school absence",
abstract = "In this article, we investigated whether and to what extent various dimensions of socioeconomic background (parental education, parental class, free school meal registration, housing status, and neighborhood deprivation) predict overall school absences and different reasons for absenteeism (truancy, sickness, family holidays and temporary exclusion) among 4,620 secondary school pupils in Scotland. Students were drawn from a sample of the Scottish Longitudinal Study comprising linked Census data and administrative school records. Using fractional logit models and logistic regressions, we found that all dimensions of socioeconomic background were uniquely linked to overall absences. Multiple measures of socioeconomic background were also associated with truancy, sickness-related absence, and temporary exclusion. Social housing and parental education had the most pervasive associations with school absences across all forms of absenteeism. Our findings highlight the need to consider the multidimensionality of socioeconomic background in policy and research decisions on school absenteeism. A more explicit focus on narrowing the socioeconomic gap in absenteeism is required to close the inequality gap in educational and post-school outcomes.",
keywords = "school attendance, inequalities, socioeconomic status, mapping",
author = "Markus Klein and Sosu, {Edward M.} and Shadrach Dare",
note = "Funding Information: This study is funded by the Economic and Social Research Council (ESRC) Secondary Data Analysis Initiative Award ES/R004943/1. We would like to thank Prof Ian Rivers and Claire Goodfellow for their valuable comments on an earlier draft of the manuscript. We are also grateful to Dr Lynne Forrest for guidance and assistance during data management and analysis. The help provided by staff of the Longitudinal Studies Centre—Scotland (LSCS) is acknowledged. The LSCS is supported by the ESRC/JISC , the Scottish Funding Council, the Chief Scientist{\textquoteright}s Office, and the Scottish Government . The authors alone are responsible for the interpretation of the data. Census output is Crown copyright and is reproduced with the permission of the Controller of HMSO and the Queen{\textquoteright}s Printer for Scotland. Funding Information: This study is funded by the Economic and Social Research Council (ESRC) Secondary Data Analysis Initiative Award ES/R004943/1. We would like to thank Prof Ian Rivers and Claire Goodfellow for their valuable comments on an earlier draft of the manuscript. We are also grateful to Dr Lynne Forrest for guidance and assistance during data management and analysis. The help provided by staff of the Longitudinal Studies Centre?Scotland (LSCS) is acknowledged. The LSCS is supported by the ESRC/JISC, the Scottish Funding Council, the Chief Scientist's Office, and the Scottish Government. The authors alone are responsible for the interpretation of the data. Census output is Crown copyright and is reproduced with the permission of the Controller of HMSO and the Queen's Printer for Scotland. Publisher Copyright: {\textcopyright} 2020 The Authors",
year = "2020",
month = nov,
doi = "10.1016/j.childyouth.2020.105432",
language = "English",
volume = "118",
journal = "Children and Youth Services Review",
issn = "0190-7409",
publisher = "Elsevier Ltd",
}