Who counts as socioeconomically disadvantaged for the purposes of widening access to higher education?

Boliver, Vikki; Gorard, Stephen; Siddiqui, Nadia

doi:10.1080/01425692.2021.2017852

Cited by 11 publications

(6 citation statements)

References 20 publications

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“…The attainment gap was similarly persistent with respect to socio-economic status, as Figure 4 demonstrates. While there remains some discussion about the validity of the measure [12], the participation of local areas classification (POLAR) is based on the proportion of young people who participate in higher education and how this varies by geographical area. POLAR classifies local areas into five groups-or quintiles-based on the proportion of young people who enter higher education aged 18 or 19 years old.…”

Section: Quantitative Resultsmentioning

confidence: 99%

“…The Equality Challenge Unit, for instance, demonstrated that whilst there has been a gradual increase in the overall number of students receiving 1:1/2:1s, there remains a consistent gap between BME and White students. In 2013/14, this gap was 15.2% points nationally, with the largest discrepancy occurring between Black and White students-a gap of 26.1% points [12].…”

Section: Contextmentioning

confidence: 98%

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Exploring the BME Attainment Gap in a Russell Group University: A Mixed Methods Case-Study

2022

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Presenting the results from a mixed methods case-study, this paper draws together insight from the fields of ‘BME attainment’ and ‘student transition’ to explore how differential levels of degree attainment might be experienced within the context of a higher tariff university in England. Across a five-year period (2010/11–2014/2015) it compares the levels of degree attainment between UK-domiciled White and Black and Minority Ethnic (BME) students in relation to prior attainment, qualification type, and socioeconomic group (POLAR 3). A range of qualitative data then outlines a series of dynamic factors that can, when compounded, serve to constrain BME students’ capability to negotiate their way through very particular university landscapes. These include: academic expectation and preparedness; the pedagogic terrain; pastoral engagement and sense of belonging finance; and, the lived experience of diversity and ‘othering’. The paper argues that attainment gaps should not be viewed in terms of an individual deficit that needs to be ‘fixed’ or ‘filled’. Instead, greater attention needs to be directed toward enhancing the capacity of higher tariff universities to respond positively to the needs of a changing demographic.

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Section: Quantitative Resultsmentioning

confidence: 99%

Section: Contextmentioning

confidence: 98%

Exploring the BME Attainment Gap in a Russell Group University: A Mixed Methods Case-Study

2022

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“…It is possible to reconcile these apparently contradictory positions by considering that neighbourhood differences may explain more variance in symptoms than in wellbeing indicators, but that the specific neighbourhood measures of socio-economic deprivation in a given study may not always have sufficient explanatory power. As with other indicators, this may be because existing measures of socio-economic deprivation are essentially too 'blunt', failing to adequately capture young people's active roles in forming views on their material needs and assessing their comparative socio-economic status [42,43].…”

Section: Discussionmentioning

confidence: 99%

This is the place: a multi-level analysis of neighbourhood correlates of adolescent wellbeing

Marquez,

Humphrey,

Black

et al. 2023

Soc Psychiatry Psychiatr Epidemiol

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Objective Adolescent wellbeing is a key research and policy priority, but little is known about neighbourhood-level influences. This study examined the extent to which adolescents’ life satisfaction and internalising symptoms vary between neighbourhoods, and which neighbourhood characteristics are associated with individual outcomes. Method Baseline data from the #BeeWell cohort study in Greater Manchester (England) including 35,902 adolescents (aged 12–15) across 243 neighbourhoods were linked to neighbourhood characteristics (e.g. access to education and health services, leisure facilities) from the Co-op’s Community Wellbeing Index and analysed using multi-level regression. Results Neighbourhoods explained 0.61% and 1.17% of the variation in life satisfaction and internalising symptoms, respectively. Socio-demographic inequalities in these outcomes varied across neighbourhoods. Several neighbourhood characteristics were associated with wellbeing, but differences across model specifications were observed (e.g. adjusted vs unadjusted; unique associations vs grouped domains). However, higher levels of perceived wellbeing support from local people were associated with lower internalising symptoms in all models. Other characteristics associated with better wellbeing outcomes in various models included lower GP antidepressant prescription rates, and better access to health services, areas for leisure, and good places to spend free time. Conclusion Neighbourhoods account for a small but significant proportion of the variance in adolescent life satisfaction and internalising symptoms. Some neighbourhood characteristics (notably neighbourhood social capital) are associated with these outcomes at the individual level, and disparities in these outcomes for some groups vary across neighbourhoods. Our findings speak to the role of place as a determinant of adolescent wellbeing, with consequent implications for intervention.

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Section: Discussionmentioning

confidence: 99%

This is the place: a multi-level analysis of neighbourhood correlates of adolescent wellbeing

Marquez¹,

Humphrey²,

Black³

et al. 2022

Preprint

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Objective: Adolescent wellbeing is a key research and policy priority, but little is known about neighbourhood-level influences. This study examined the extent to which adolescents’ life satisfaction and internalising symptoms vary between neighbourhoods, and which neighbourhood characteristics are associated with individual outcomes.Method: Baseline data from the #BeeWell cohort study were used, with the sample comprising 35,902 adolescents (aged 12-15) across 243 neighbourhoods. These data were linked to neighbourhood characteristics from the Co-op’s Community Wellbeing Index. Data were analysed using multilevel (individual, neighbourhood) regression models.Results: Neighbourhoods accounted for 0.61% and 1.17% of the variation in life satisfaction and internalising symptoms, respectively. Furthermore, socio-demographic inequalities in these outcomes varied across neighbourhoods. Several neighbourhood characteristics were found to predict wellbeing outcomes, but the relative influence of most was sensitive to model specification (e.g., adjusted vs unadjusted; unique associations vs grouped domains). However, higher levels of perceived wellbeing support from local people predicted lower internalising symptoms in all models. Furthermore, neighbourhoods with better access to health services and lower GP antidepressant prescription rates were associated with higher life satisfaction and lower internalising symptoms at the individual level in at least 50% of models. Conclusion: Neighbourhoods account for a small but significant proportion of the variance in adolescent life satisfaction and internalising symptoms, and some of their characteristics predict these outcomes at the individual level. Our findings speak to the role of place as a determinant of adolescent wellbeing, with consequent implications for intervention.

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Who counts as socioeconomically disadvantaged for the purposes of widening access to higher education?

Cited by 11 publications

References 20 publications

Exploring the BME Attainment Gap in a Russell Group University: A Mixed Methods Case-Study

Exploring the BME Attainment Gap in a Russell Group University: A Mixed Methods Case-Study

This is the place: a multi-level analysis of neighbourhood correlates of adolescent wellbeing

This is the place: a multi-level analysis of neighbourhood correlates of adolescent wellbeing

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