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School Belonging Predicts Whether an Emerging Adult Will Be Not in
Education, Employment, or Training (NEET) After School
Philip Parker
1
, Kelly-Ann Allen
2, 3
, Rhiannon Parker
4
, Jiesi Guo
1
, Herbert W. Marsh
1, 5
,
Geetanjali Basarkod
1
, and Theresa Dicke
1
1
Institute for Positive Psychology and Education, Australian Catholic University
2
School of Educational Psychology and Counselling, Faculty of Education, Monash University
3
Centre for Wellbeing Science, Melbourne Graduate School of Education, University of Melbourne
4
Centre for Social Impact, University of New South Wales
5
Department of Education, University of Oxford
Children who are excluded from school may end up being excluded from other social institutions. Yet little
research has considered whether low school belonging is a risk factor for not being in education, employ-
ment, or training after graduation. Using two longitudinal cohorts from Australia (N= 14,082; 51% Boys),
we explored this relationship. Controlling for a range of individual and school-level covariates, we found
that low school belonging at age 15 is a consistent and practically significant predictor of not in education,
employment, or training (NEET) status at ages 16 to 20. We conclude thatthis relationship is unlikely to be
the product of low school belonging lowering the chances of students graduating high school. Rather, low
school belonging had a unique association with NEET beyond graduation. Given that NEET represents a
range of vulnerabilities, educational policy and practice must find ways for schools to create opportunities
for all students to feel included, valued, and accepted.
Educational Impact and Implications Statement
Every child has the right to belong. Ensuring that all children feel like they belong at school is a
central goal of education. This is because of the importance of belonging for children’s total well-
being. In this research, we provide evidence that school belonging is an important predictor of
whether a young person will not go on to further education, employment, or training (otherwise
known as NEET) after leaving compulsory schoolings. We show that school belonging is a stronger
predictor than socioeconomic status. We also show that students who feel like they belong at school
are less likely to become NEET even if they do not graduate from high school. This implies that
educational policy needs to focus on ensuring that all children feel supported, valued, and included.
Keywords: school belonging, NEET, emerging adults, longitudinal
Supplemental materials: https://doi.org/10.1037/edu0000733.supp
This article was published Online First April 21, 2022.
Philip Parker https://orcid.org/0000-0002-4604-8566
Kelly-Ann Allen https://orcid.org/0000-0002-6813-0034
Rhiannon Parker https://orcid.org/0000-0003-2156-3980
Jiesi Guo https://orcid.org/0000-0003-2102-803X
Herbert W. Marsh https://orcid.org/0000-0002-1078-9717
Geetanjali Basarkod https://orcid.org/0000-0003-3708-2751
Theresa Dicke https://orcid.org/0000-0001-8868-2242
Philip Parker served as lead for conceptualization and writing the
original draft. Kelly-Ann Allen, Rhiannon Parker, Jiesi Guo, Herbert W.
Marsh, Geetanjali Basarkod, and Theresa Dicke contributed to writing,
reviewing and editing the article.
We thank the National Centre for Vocational Education Research who
provided the data for this article. In particular, we thank Ronnie Semo for
her guidance in developing the NEET Index.
The data are available at https://dataverse.ada.edu.au/dataverse/ada?q=
LSAY
The experiment materials are available at https://github.com/pdparker/
belonging_NEET
The preregistered design is accessible at https://osf.io/2eugb
Correspondence concerning this article should be addressed to Philip
Parker, Institute for Positive Psychology and Education, Australian Catholic
University, 33 Berry Street, North Sydney, 2060 NSW Australia. Email:
philip.parker@acu.edu.au
1881
Journal of Educational Psychology
©2022 American Psychological Association 2022, Vol. 114, No. 8, 1881–1894
ISSN: 0022-0663 https://doi.org/10.1037/edu0000733
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