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Cormack, Andrew; Reeve, David – Journal of Learning Analytics, 2022
With student and staff wellbeing a growing concern, several authors have asked whether existing data might help institutions provide better support. By analogy with the established field of Learning Analytics, this might involve identifying causes of stress, improving access to information for those who need it, suggesting options, providing rapid…
Descriptors: Foreign Countries, Well Being, Data Use, Ethics
Annie Irvine – International Journal of Social Research Methodology, 2024
Engaging with primary researchers during qualitative secondary analysis is a practice much recommended but rarely written about. In this article, I reflect on my experience of crossing an imagined boundary between the discrete textual dataset and its creators, of acknowledging and engaging with those researchers who invested in constructing the…
Descriptors: Researchers, Foreign Countries, Primary Sources, Research Methodology
Molina, Julian – Evidence & Policy: A Journal of Research, Debate and Practice, 2019
This article describes how statistics are scrutinised as evidence. It focuses on the uses of a labour market statistic during House of Commons select committee evidence sessions. The statistic in question was '55.5% of economically active black men, aged 16-24, are unemployed'. The article describes how this individual piece of evidence was…
Descriptors: Statistical Data, Data Use, Labor Market, Unemployment
Universities UK, 2019
Longitudinal Education Outcomes (LEO) data provides information on how much UK graduates of different courses at different universities are earning, either one, three or five years since graduating. This briefing gives an overview of what LEO data is and how it can be useful to students, policy makers and higher education institutions. It also…
Descriptors: Foreign Countries, Educational Research, Longitudinal Studies, Data Use
Hewitt, Rachel – Higher Education Policy Institute, 2019
In this new Policy Note, Rachel Hewitt, HEPI's Director of Policy and Advocacy, highlights the need to distinguish between mental health and well-being and calls for more comprehensive data to be made available on the well-being of all those work and study at universities. Key points: (1) The conflation of mental health and well-being is not…
Descriptors: Well Being, Higher Education, Mental Health, Data Collection