The outcomes of educational welfare officer contact in England
Bibliographic Data
| ID | 11159363 |
|---|---|
| Authors | Morag Henderson (0000-0003-0107-4899, UCL Institute of Education London UK, corresponding author), Sin Yi Cheung (0000-0002-9913-1451, Cardiff University Cardiff UK), Elaine Sharland (0000-0002-4145-0425, University of Sussex Falmer Brighton UK), Jonathan Scourfield (0000-0001-6218-8158, Cardiff University Cardiff UK) |
| Year | 2016 |
| Volume | 42 |
| Issue | 3 |
| Pages | 399-416 |
| Publication date | 2016-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Educational Research Journal (JOURNAL) |
| Journal identifiers | ISSN: 0141-1926 • E-ISSN: 1469-3518 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/berj.3212 |
| OpenAlex | W2157265819 |
| Language | EN |
| Citations received | 1 |
| References cited | 27 |
The key purpose of educational welfare officers in England is to support students and parents to maximise educational opportunities for young people. However more is known about their role in relation to school attendance than in relation to pupils’ educational outcomes. Using the Longitudinal Survey of Young People in England ( LSYPE ), this paper investigates the characteristics of teenagers who received educational welfare contact because of their behaviour between 2004 and 2006. With observational data it is often difficult to isolate respondents exposed to a particular intervention or ‘treatment’, because of non‐random allocation. We address this using inverse‐probability‐weighted regression adjustment ( IPWRA ) to estimate more accurately the effect of educational welfare contact on outcomes of educational achievement and aspiration. Our findings indicate that young people who had educational welfare contact because of their behaviour were less likely to apply to university, less confident in university acceptance if they applied and had lower odds of achieving five General Certificate of Secondary Education at grades A*–C, the government benchmark for education achievement at age 16. We discuss the limitations we face and implications of these findings for future research
Academic achievement · Attendance · Demographic economics · Economic growth · Economics · Educational attainment · Government (linguistics) · Intervention (counseling) · Logistic regression · Medical education · Observational study · Odds · Pedagogy · Political science · Welfare · Early Childhood Education and Development · Medicine · Parental Involvement in Education · Psychology · Youth Substance Use and School Attendance
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Achievement and Aspiration
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The Estimation of Causal Effects From Observational Data
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.17 |
| Citation span | 2020 - 2020 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |