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Session Overview
Session
05 SES 01 A: Addressing School Absence and Drop-out
Time:
Tuesday, 22/Aug/2023:
1:15pm - 2:45pm

Session Chair: Michael Jopling
Location: James McCune Smith, 430 [Floor 4]

Capacity: 30 persons

Paper Session

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Presentations
05. Children and Youth at Risk and Urban Education
Paper

Smoothening Transitional Risks for Students Struggling to Stay in School

Ivan Tokheim, Solvejg Jobst

HVL, W. Norway University of Appl. Sci., Norway

Presenting Author: Tokheim, Ivan

During the course of their educational path, children are subjected to a series of critical transitions between one academic level to the next. These include the transition from kindergarten to lower primary school, from upper primary school to lower secondary school and from vocational studies through apprenticeship and into the labour force (Bragdø & Austad, 2022).

Students’ transitional experiences play an important role in dictating their later social, emotional and intellectual development (Hanewald, 2013; Waters et al., 2012). Students with specialized needs are particularly vulnerable to critical transitions and have a higher risk of transitions leading to a negative social, academic or behavioural development (Cantali, 2015; Symonds, 2015). Thus, it is imperative that teachers are conscious of critical transitions and the effect they may pose on some students.

Norway along with the other Scandinavian countries, are repeatedly used as a good example on the path towards an inclusive school and equal participation for all people (e.g. Frønes et al., 2020). The Nordic welfare state model provides free education for all, free parental leave and comprehensive sickness benefits. Still the economic inequality in Norway is rising (e.g. Akerbæk & Molnes, 2021). Repstad (2021) refers to different kinds of inequality. He claims that while the Norwegian society experiences little inequality of opportunity and inequality of treatment, it is still lacking in inequality of outcome – A level playing field does not necessarily lead to an egalitarian society. In the case of public education, it is not enough to accommodate for equal opportunity and treatment as long as the cultural capital of the students is not being taken into consideration.

Both the Norwegian Ministry of Education and Research (Meld. St. 6 (2019-2020)) and legal regulations for the Norwegian teacher education highlight the importance of strengthening the bonds between the different academic levels in the educational trajectory. Despite this, there are no clear guidance document on how to strengthen these transitions and there are barely any Norwegian studies considering the transition between primary and secondary school (Strand, 2022, s. 18).

Through a case study, carried out in the context of an EU-funded research project, PIONEERED – aimed at pioneering practices tackling educational inequalities in Europe, – we examine an alternative educational program which aids upper primary and lower secondary students, struggling to stay in school. Once a week, students are brought away from school to conduct non-formal outdoor activities, focusing on mastery and personal development, significantly reducing their chance of dropping out. The instructors teach the students practical vocational tasks, with the eventual goal being regular employment and a satisfactory quality of life.

One of the most striking and successful enterprises of this practice is their ability to prepare at-risk students for potentially difficult educational transitions, namely upper primary to lower secondary school, and lower secondary to upper secondary school. This leads to the following research question: Which tools and techniques used for smoothening transitional risks can be identified in a Norwegian alternative educational program?

Further research objectives include:

  1. arguing for the value of researching transitional tools and techniques for vulnerable students.
  2. identifying tools and techniques utilised by an alternative educational program.
  3. reflecting on how these techniques can be applied to the ordinary school system in the Norwegian educational context and may serve as incentive for other European contexts as well.

We assume a sociocultural perspective on education, which asserts that learning is a social process mediated through communication with a more knowledgeable other (Vygotsky, 1978). We also assume a Bourdieuan sociological perspective, contending that educational qualifications are domestically inherited and thereby reproduced in the form of cultural capital (Bourdieu & Richardson, 1986).


Methodology, Methods, Research Instruments or Sources Used
The study follows a qualitative methodological approach, based on a hermeneutical interpretation of the data material (e.g. Brown, 1994). The data material is comprised of two expert interviews, two stakeholder discussions, a set of field observations and one focus group interview. In addition, PIONEERED has during the course of the project conducted several workshops, communicating results and sharing ideas with members of other partner countries undergoing parallel case studies in their own national contexts. An important aspect of the PIONEERED project has been participatory research and the inclusion of invested stakeholders in the research process (Hollenbach & Tillmann, 2011) – educational workers and non-academics from the alternative educational program being studied have actively participated in these workshops and have thus contributed with their invaluable experiences and perspectives on how to reduce educational inequalities and smoothen transitional risks for vulnerable students. These experiences have been carefully documented and also serve as part of the data material. We maintain an ongoing dialogue with the stakeholders, quality assuring the reliability of our research process.

This particular pioneering practice is interesting because it typically follows students from upper primary through lower secondary school, and in that regard is able to guide the students through-out their transitional experience in a way which ordinary teachers and other communal child services cannot. They are especially concerned with children of various behavioural difficulties, school reluctancy, anxiety, mental health issues, neurodevelopmental disorders and students being involved in illicit activities. In addition, the practice has an outspoken focus on preparing vulnerable students for difficult life course transitions and more than 20 years of experience working with children with various difficulties.

Conclusions, Expected Outcomes or Findings
Early effort invested in keeping young people in school and preparing vulnerable students especially prone to dropping out, for critical transitions, may be of help in reducing the number of students with zero points from compulsory primary education as well as reducing the drop-out rate in upper secondary school.

The practice being studied has shown promising outcomes in decreasing school absence and increasing students’  academic results, confidence and general well-being through a number of years. Still, their methods have not been formally documented. This study will try to preserve this important piece of information while also contributing to the gap in research on critical life course transitions for Norwegian upper primary school students.

The long-term ambition of this alternative educational program is to formalise their philosophy and expand their practice onto other municipalities. Research and precise documentation are thus needed to achieve recognition from educational researchers and garner interest from policy makers.

References
Akerbæk, E., & Molnes, G. (2021, September 8). Hvor stor er den økonomiske ulikheten i Norge? [How big is the economic inequality in Norway?]. Faktisk.no. https://www.faktisk.no/artikler/z5m6y/hvor-stor-er-den-okonomiske-ulikheten-i-norge
Bourdieu, P., & Richardson, J. G. (1986). Handbook of Theory and Research for the Sociology of Education. The forms of capital, 241, 258.
Bragdø, A., & Austad, M. H. (2022). I skole, på vei til jobb: gode overganger mellom skole og arbeidsliv [In school, entering the labour force: smooth transitions between school and working life]. Fagbokforlaget.
Brown, T. (1994). Towards a Hermeneutical Understanding of Mathematics and Mathematical Learning. In P. Ernest (Ed.), Constructing Mathematical Knowledge: Epistemology and Mathematics Education (pp. 152-161). The Falmer Press.
Cantali, D. (2019). Moving to secondary school for children with ASN: a systematic review of international literature. British Journal of Special Education, 46(1), 29-52.
Frønes, T. S., Pettersen, A., Radišić, J., & Buchholtz, N. (2020). Equity, Equality and Diversity in the Nordic Model of Education—Contributions from Large-Scale Studies. In T. S. Frønes, A. Pettersen, J. Radišić, & N. Buchholtz (Eds.), Equity, Equality and Diversity in the Nordic Model of Education (pp. 1-10). Springer International Publishing. https://doi.org/10.1007/978-3-030-61648-9_1
Hanewald, R. (2013). Transition between primary and secondary school: Why it is important and how it can be supported. Australian Journal of Teacher Education (Online), 38(1), 62-74.
Hollenbach, N., & Tillmann, K.-J. (2011). Teacher research and school development. German approaches and international perspectives. Die Schule forschend verändern. Klinkhardt, Bad Heilbrunn.
Meld St. 6 (2019-2020). Tett på - tidlig innsats og inkluderende fellesskap i barnehage, skole og SFO [Following closely – early effort and inclusive community in ECEC, school and after-school programs].  Retrieved from https://www.regjeringen.no/no/dokumenter/meld.-st.-6-20192020/id2677025/
Repstad, P. (2021). Norway: an egalitarian society? In E. Maagerø & B. Simonsen (Eds.), Norway: Society and culture (3 ed., pp. 138–157). Cappelen Damm Akademisk.
Strand, G. M. (2022). Overgangen til ungdomstrinnet: elevenes opplevelser og hvordan vi kan støtte dem [The transition to secondary school: Students’ experiences and how we can support them]. Universitetsforlaget.
Symonds, J. (2015). Understanding school transition: What happens to children and how to help them. Routledge.
Waters, S. K., Lester, L., Wenden, E., & Cross, D. (2012). A theoretically grounded exploration of the social and emotional outcomes of transition to secondary school. Journal of Psychologists and Counsellors in Schools, 22(2), 190-205.


05. Children and Youth at Risk and Urban Education
Paper

School Absence Trajectories and their Consequences for Achievement

Jascha Drager, Markus Klein, Edward Sosu

University of Strathclyde, United Kingdom

Presenting Author: Drager, Jascha

This study examines the effect of absence patterns over the course of a pupil’s entire academic career on achievement in the final year of compulsory schooling in England. There is abundant evidence of the negative consequences of school absenteeism on children’s achievement (Aucejo & Romano, 2016), which subsequently translates into lower educational attainment and poorer labour market outcomes (Cattan et al., 2022). However, most existing research consider the effects of absences over a single year and the limited studies exploring absences across time only examine whether yearly changes in absences result in varying achievement progress. Additionally, existing studies disregard the cumulative measurement of dynamic absence trajectories over time, which may conceal meaningful differences between pupils and likely results in an underestimation of the degree to which absences influence achievement. A holistic measurement of pupils’ absences across their academic careers is crucial to assess whether the timing of absence severity matters for achievement.

Theoretically, there are arguments for early absences being more important for achievement as well as arguments for late absences being more important. On the one hand, we could assume that early absences are more harmful to children’s achievement because skill formation is path dependent: children who lack basic skills will have difficulty acquiring more advanced skills. On the other hand, we could assume that late absences have a greater impact on children’s achievement, given that the content being evaluated on tests is the content taught in the last few years before the test. Existing research overwhelmingly concludes that later absences are more important for academic success (Ansari & Pianta, 2019).

The extent to which absence trajectories influence achievement may not only be influenced by the frequency of absences but also by the type of absence. For instance, unauthorised absences become much more prevalent during later school stages (Department for Education, 2011) and seem to be more detrimental to school performance than authorised absences (Gottfried, 2009). This could be due to teachers being less motivated to support pupils with numerous unauthorised absences (Wilson et al., 2008). Nonetheless, the larger effect of unauthorised absences may also reflect differences in pupils’ school-related attitudes (Hancock et al., 2013), which are rarely measured by surveys. This claim is supported by Klein et al. (2022), who found that sickness absences and absences due to exceptional domestic circumstances are just as damaging to achievement as truancy.

Some studies have examined trajectories of overall absences (Benner & Wang, 2014; Simon et al., 2020) or truancy (Schoeneberger, 2012), but none have jointly investigated type and temporal dynamics across children’s schooling. Moreover, the research on absence trajectories is largely limited to the United States, only considers absences over a few years of schooling, and does not account for all pertinent school absenteeism risk factors which likely also affect academic achievement.

Our study draws on linked school administrative and survey data from England to examine the association between absence trajectories and achievement. Specifically, we address two research questions that enable us to overcome the limitations of previous studies:

  1. Which absence trajectories emerge across entire school careers?
  2. How do these absence trajectories affect achievement?

Methodology, Methods, Research Instruments or Sources Used
We use linked administrative data on absences and standardised achievement tests from the National Pupil Database (NPD) with survey data from the Millennium Cohort Study (MCS), which enables us to identify pupils’ joint trajectories of authorised and unauthorised absences throughout the entire mandatory school career in England (Years 1 to 11) while simultaneously controlling for a comprehensive set of confounders of the association between absence trajectories and achievement. Linked NPD-MCS data is available for 8,438 pupils.
We use the percentage of authorised and unauthorised absences out of all possible sessions in each year for our analysis. Authorised absences are absences with permission from a teacher or other authorised representatives of the school, which is only given if a satisfactory explanation for the absence has been provided, e.g., illness. Unauthorised absences are absences without the permission of the school.
As outcomes, we evaluate differences in performance measures on standardised tests at the end of year 11 (key stage 4): 1) Whether pupils passed at least five exams with grades A*-C, including English and Math, 2) The average performance on the eight best exams, 3) Grade in English, 4) Grade in Math.
We use multiple imputation for missing values in absenteeism risk factors and weight pupils by the inverse of the probability that they gave consent to data linkage and have complete absence and achievement data to account for selection effects.
We use k-medians clustering for longitudinal data to identify clusters with similar joint trajectories on authorised and unauthorised absences from years 1 to 11 (Genolini et al., 2013).
To estimate the effect of absence trajectories on achievement, we exploit the fact that the MCS contains all identified risk factors of school absenteeism (Gubbels et al., 2019). Since we evaluate the effect of entire absence trajectories as opposed to absences in a single year, we must appropriately control for time-varying confounders, which have been frequently overlooked in the existing literature. We accomplish this by employing a regression-with-residuals technique, which enables us to condition on time-varying confounders that may be affected by earlier absences without introducing overcontrol bias (Wodtke & Almirall, 2017).

Conclusions, Expected Outcomes or Findings
Preliminary results indicate that most pupils fall into a cluster with both low authorised absences and very low unauthorised absences throughout their entire school careers. Other clusters are defined by either higher authorised absences, higher unauthorised absences, or high authorised and high unauthorised absences or differ in terms of the persistence and the timing of absences. There are substantial differences in achievement between absence trajectory clusters, even when accounting comprehensively for risk factors. The cluster of pupils with low authorised and very low unauthorised absences throughout their entire school career perform best, but there are also marked differences between different high absences trajectories. (Exact results are subject to the statistical disclosure review of the UK Data Service and will be presented at the conference).
References
Ansari, A., & Pianta, R. C. (2019). School absenteeism in the first decade of education and outcomes in adolescence. Journal of School Psychology, 76, 48–61. https://doi.org/10.1016/j.jsp.2019.07.010
Aucejo, E. M., & Romano, T. F. (2016). Assessing the effect of school days and absences on test score performance. Economics of Education Review, 55, 70–87. https://doi.org/10.1016/j.econedurev.2016.08.007
Benner, A. D., & Wang, Y. (2014). Shifting attendance trajectories from middle to high school: Influences of school transitions and changing school contexts. Developmental Psychology, 50(4), 1288–1301. https://doi.org/10.1037/a0035366
Cattan, S., Kamhöfer, D., Karlsson, M., & Nilsson, T. (2022). The Long-term Effects of Student Absence: Evidence from Sweden. The Economic Journal. https://doi.org/10.1093/ej/ueac078
Department for Education. (2011). A profile of pupil absence in England (DFE-RR171; Research Report).
Genolini, C., Pingault, J. B., Driss, T., Côté, S., Tremblay, R. E., Vitaro, F., Arnaud, C., & Falissard, B. (2013). KmL3D: A non-parametric algorithm for clustering joint trajectories. Computer Methods and Programs in Biomedicine, 109(1), 104–111. https://doi.org/10.1016/j.cmpb.2012.08.016
Gottfried, M. A. (2009). Excused Versus Unexcused: How Student Absences in Elementary School Affect Academic Achievement. Educational Evaluation and Policy Analysis, 31(4), 392–415. https://doi.org/10.3102/0162373709342467
Gubbels, J., van der Put, C. E., & Assink, M. (2019). Risk Factors for School Absenteeism and Dropout: A Meta-Analytic Review. Journal of Youth and Adolescence, 48(9), 1637–1667. https://doi.org/10.1007/s10964-019-01072-5
Hancock, K. J., Shepherd, C. C. J., Lawrence, D., & Zubrick, S. R. (2013). Student attendance and educational outcomes: Every day counts (Report for the Department of Education, Employment and Workplace Relations).
Klein, M., Sosu, E. M., & Dare, S. (2022). School Absenteeism and Academic Achievement: Does the Reason for Absence Matter? AERA Open, 8, 233285842110711. https://doi.org/10.1177/23328584211071115
Schoeneberger, J. A. (2012). Longitudinal Attendance Patterns: Developing High School Dropouts. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 85(1), 7–14. https://doi.org/10.1080/00098655.2011.603766
Simon, O., Nylund-Gibson, K., Gottfried, M., & Mireles-Rios, R. (2020). Elementary absenteeism over time: A latent class growth analysis predicting fifth and eighth grade outcomes. Learning and Individual Differences, 78, 101822. https://doi.org/10.1016/j.lindif.2020.101822
Wilson, V., Malcolm, H., Edward, S., & Davidson, J. (2008). ‘Bunking off’: The impact of truancy on pupils and teachers. British Educational Research Journal, 34(1), 1–17. https://doi.org/10.1080/01411920701492191
Wodtke, G. T., & Almirall, D. (2017). Estimating Moderated Causal Effects with Time-varying Treatments and Time-varying Moderators: Structural Nested Mean Models and Regression with Residuals. Sociological Methodology, 47(1), 212–245. https://doi.org/10.1177/0081175017701180


05. Children and Youth at Risk and Urban Education
Paper

Risk Factors for Dropping out of Upper Secondary Education in Finland of Young People with Psychological Disabilities

Taina Heinonen

University of Turku, Finland

Presenting Author: Heinonen, Taina

The paper presents some of the results of my upcoming dissertation about young mental health rehabilitants’ school experiences and educational trajectories in Finland. This paper focuses in school dropout at the upper secondary education from the viewpoint of young people with the background of psychological disability. A psychological disability refers to a spectrum of mental disorders or conditions that influence our emotions, cognitions and/or behaviors.

Transition from comprehensive school to the upper secondary level is associated with several challenges (Hjort et al 2016). For vulnerable groups, e.g. adolescents with psychological disabilities, these challenges are even more difficult (Lamb 2011). Especially depression affects the psychosocial and school-related development of adolescents in a major way (Dupere et al 2017; Schulte-Körne 2016). They increase the risk of having to dropping out of school before achieving any qualification, which is a serious problem both at an individual and societal level (Ramsdal et al 2018). Depressive disorders are also one of the most significant contributors to work disability and premature exit from the labor market (Maynard, Sala-Wright & Vaughn, 2015). Mental health problems are increasing worldwide. In Finland, about 20 % of all young adults are diagnosed with a psychological disorder, of which diagnoses of depression and anxiety are most usual (OECD 2019).

The purpose of this study, framed within a mixed design, concern to one part quantitative aspect of the associations between mental health problems and school dropouts, especially factors that increase the risk to drop out of school were explored. Another area of interest was to explore the experiences of dropping out of upper secondary education (qualitative aspect). The data consisted of quantitative survey data (n=121) as well as qualitative data from interviews (n=28) and open-ended survey responses (n=113). The analyses were conducted with logistic regression analysis and qualitative content analysis. When analyzing the data, a special interest was paid to school dropouts. The data were categorized into three essential categories (individual, family and institutional) according to Vincent Tinto’s explanatory model of the dropout process (Tinto 1973; Tinto 1975; Tinto 1997).

Both, quantitative and qualitative findings show that school dropout and mental health problems are strongly connected to each other. About one-fifth of the respondents had dropped out of upper secondary school. Based on the data, diagnosed mental health disorders by age 18, loneliness in upper comprehensive school, lack of social support and family background significantly increased likelihood of dropping out.


Methodology, Methods, Research Instruments or Sources Used
The aim of the study was to examine 1) the associations between mental health problems and school dropouts, and 2) the experiences of dropping out of school. The data was collected through survey and interviews. The survey and the interviews included questions about their school experiences, educational paths, psychological disability, socioeconomic background and plans about the future. The survey was targeted at 18–34 year old mental health rehabilitants living in Finland. Altogether 121 respondents, who had received physical, psychological or social support to their mental health problems, from 14 counties, participated in the study. Survey data were collected in 2017. Overall, 28 persons of those 121 respondents were interviewed in 2018 and 2019.

The study followed a mixed-method approach (e.g. Creswell et al. 2011; Fetters et al. 2013). Regarding the course of my research, I followed a multiphase model (e.g. multiphase iterative design, multistage mixed methods framework) in terms of both data collection and analysis as well as reporting and utilization of the results. Practically, I used multiple stages of data collection that include various combinations of explanatory sequential and convergent approaches (e.g. Fetters et al 2013). In the first stage, I collected and analyzed some of the quantitative data. In the second stage, I used quantitative findings to build individual interview questions for each participant. After preparation, I conducted semi-structured interviews with mental health rehabilitants to explore further these quantitative findings. In the third stage, I collected and analyzed some of the qualitative data. In the fourth stage, I used quantitative findings and qualitative findings iteratively in multiple phases. After that, I merged quantitative findings with qualitative findings using narrative approach for reporting results.

Conclusions, Expected Outcomes or Findings
The purpose of this study was to explore the school dropout from the viewpoint of young people with the background of psychological disability. Based on the results, school dropout and mental health problems were strongly connected to each other. Results also show that recent depression symptoms with lack of social support often leads to dropping out of upper secondary education.

These findings suggest that early identification of problems and social support received from teachers are important factors for reaching desired learning outcomes. Consequently, providing school-based psychosocial services could be the key to identify mental health problems at an early stage. In sum, the early identification of mental health problems and the existence of school-based psychosocial services would enable the completion of studies.


References
Creswell, J. & Plano Clark, V. (2011) Designing and conducting mixed methods research. London: Sage.

Dupere, V. & Dion, E. & Nault-Briere, F. & Archambault, I. & Leventhal, T. & Lesage, A. (2017) Revisiting the link between depression symthoms and high school dropout: Timing of exposure matters. Journal of Adolescent Health 62 (2018), 205–211.

Fetters, M. & Curry, L. & Creswell, J.(2013) Integrating mixed methods in health services and delivery system research: Achieving integration in mixed methods designs -Principles and practices. HSR: Health Services Research 48:6, Part II.

Hjort, C. & Bilgrav, L. & Frandsen, L. & Overgaad, C. & Torp-Pedersen, C. & Nielsen, B. & Böggild, H.(2016) Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study. BMC Public Health 16:976.

Lamb, S. 2011. School dropout and inequality. In S. Lamb, E. Markussen, R. Teese, N. Sandberg & J. Polesel (toim.) School dropout and completion: International comparative studies in theory and policy. Dordrecht: Springer, 369–390.

Maynard, B. R., Sala-Wright, C. P., & Vaughn, M. G. (2015) High school dropouts in emerging adulthood: Substance use, mental health problems, and crime. Community Mental Health, 51.
OECD (2019) Health at a Glance 2019 - OECD Indicators, OECD Publishing, Paris.

Ramsdal, G. H. & Bergvik, S. & Wynn, R. (2018) Long-term dropout from school and work and mental health in young adults in Norway: A qualitative interview-based study. Cogent Psychology, 5:1.

Schulte-Körne, G. (2016) Mental Health Problems in a School Setting in Children and Adolescent. Dtsch Arztebl Int. 2016 Mar; 113(11): 183–190.

Tinto, V.& Cullen, J. (1973). Dropout in higher education: a review and theoretical synthesis of recent research. Office of Education (DHEW), Contract OEC-0-73-1409, 99.

Tinto, V. (1975). Dropout from higher education: a theoretical synthesis of recent research. Review of Educational Research, 45(1), 89-125.

Tinto, V. (1997) Classrooms as Communities: Exploring the Educational Character of Student Persistence. The Journal of Higher Education, 68 (6), 599–623.


 
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