The Students We Don’t See: Characterising Student Experience in Australian Higher Education using Latent Class Analysis
DOI:
https://doi.org/10.63608/ssj.4013Keywords:
Latent Class Analysis (LCA), student experience, intersectionality, higher education equity , student retention, academic performanceAbstract
Australian higher education equity policy has traditionally relied on demographic indicators to identify students at risk. While these classifications remain essential for addressing structural disadvantage, they may obscure variation in how students experience university. Using a person-centred Latent Class Analysis (LCA), this study examined multidimensional patterns of underlying student experience and their associations with intention to leave and academic performance. Drawing on nationally representative data from the Quality Indicators for Learning and Teaching (QILT) Student Experience Survey (SES) from 2019 to 2022 (approximately 230,000 domestic undergraduate students), five latent classes were identified, characterised by distinct configurations of belonging, engagement, institutional support, satisfaction, and external pressures. These classes were stable across survey years and formed a clear hierarchy of risk. Students in the “Disengaged” and “Engaged but under-supported” classes consistently showed the highest likelihood of considering leaving university or reporting a fail grade, whereas those in the “Happy overall” class demonstrated the lowest risk. Each equity group contained a heterogeneous mix of experience classes. Findings suggest that experience-based approaches can complement existing equity frameworks by enabling more nuanced identification of student vulnerability.
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Copyright (c) 2022 Dr Novia Minaee, Dr Paul Koshy, Associate Professor Gemma Cadby, Professor Ian Li

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution International Licence (CC BY 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.




