Predictors of Authorised and Unauthorised Absence of Secondary School Pupils in Scotland

Our paper examines the factors associated with increased absenteeism in Scottish secondary schools, considering the phenomenon of persistent absenteeism (defined as an absence rate of 10% or higher) and differentiating between authorised and unauthorised absences. We aim to identify singular and accumulative effects of multiple disadvantages and inequalities on school attendance. We draw on educational data from the Scottish Government, including the Pupil Census, on attendance, absence and exclusions, linked to the Census and health records, from 2007/08-2018/19. The analysis focuses on pupils in secondary school and accounts for variations of random effects in absence data attributable to local authorities and schools. To predict probabilities for pupils being persistently absent, we use multilevel mixed-effects logistic regression. To model authorised and unauthorised absence, we employ mixed-effects negative binomial models. Key variables of interest include eligibility for free school meals (FSM), care experience, additional support needs (ASN), mental health and health conditions of children and parents. Our results strongly suggest that there is a link between low income, using free school meal eligibility as a proxy, and educational absence. Pupils who have been eligible for free school meals at least once throughout their educational trajectory are twice as likely to be persistently absent from school than their peers who had never been eligible. The probability of being absent for 10% or more of a school year has been increasing over the past years. Increases in authorised absence are associated with FSM eligibility, specific ASN, and health factors. Increases in unauthorised absence are strongly influenced by FSM eligibility, care experience, most ASN, and mental health. In forthcoming analysis, we explore how trajectories of absence are related to exclusions from school. The findings provide us with a detailed picture of adverse influences on secondary school pupils’ attendance. The differences of factors associated with authorised and unauthorised absence underline the importance of recognising these patterns on a structural level to address school absenteeism.

Authors

Institutions

Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i3.3009
Primary Topic
Youth Substance Use and School Attendance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Authorised and Unauthorised Absence of Secondary School Pupils in Scotland

Morag C. Treanor, Lee Williamson, Patricio Troncoso, Cecilia MacIntyre et al.
1 links
International Journal for Population Data Science
Youth Substance Use and School Attendance
article

Predictors of Authorised and Unauthorised Absence of Secondary School Pupils in Scotland

Morag C. Treanor, Lee Williamson, Patricio Troncoso, Cecilia MacIntyre, Silvia Behrens, Bethany Lee-Shield
article en

Abstract

Our paper examines the factors associated with increased absenteeism in Scottish secondary schools, considering the phenomenon of persistent absenteeism (defined as an absence rate of 10% or higher) and differentiating between authorised and unauthorised absences. We aim to identify singular and accumulative effects of multiple disadvantages and inequalities on school attendance. We draw on educational data from the Scottish Government, including the Pupil Census, on attendance, absence and exclusions, linked to the Census and health records, from 2007/08-2018/19. The analysis focuses on pupils in secondary school and accounts for variations of random effects in absence data attributable to local authorities and schools. To predict probabilities for pupils being persistently absent, we use multilevel mixed-effects logistic regression. To model authorised and unauthorised absence, we employ mixed-effects negative binomial models. Key variables of interest include eligibility for free school meals (FSM), care experience, additional support needs (ASN), mental health and health conditions of children and parents. Our results strongly suggest that there is a link between low income, using free school meal eligibility as a proxy, and educational absence. Pupils who have been eligible for free school meals at least once throughout their educational trajectory are twice as likely to be persistently absent from school than their peers who had never been eligible. The probability of being absent for 10% or more of a school year has been increasing over the past years. Increases in authorised absence are associated with FSM eligibility, specific ASN, and health factors. Increases in unauthorised absence are strongly influenced by FSM eligibility, care experience, most ASN, and mental health. In forthcoming analysis, we explore how trajectories of absence are related to exclusions from school. The findings provide us with a detailed picture of adverse influences on secondary school pupils’ attendance. The differences of factors associated with authorised and unauthorised absence underline the importance of recognising these patterns on a structural level to address school absenteeism.

International Journal for Population Data ScienceVol. 10(4)
Scottish Government (GB), University of Glasgow (GB), University of Edinburgh (GB)
Openalex Percentile: Top 75%
Youth Substance Use and School Attendance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.