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Using linked education administrative data to evaluate and extend traditional studies of school effects on student outcomes

Using linked education administrative data to evaluate and extend traditional studies of school effects on student outcomes
使用关联的教育管理数据来评估和扩展学校对学生成绩影响的传统研究
批准号:
2882727
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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CONTEXTSchool effectiveness researchers estimate individual school effects as a first step to identifying school policies and practices which might explain why some schools are more effective than others. The DfE estimates individual school effects to hold schools to account (Progress 8), to inform school inspections (Ofsted), to inform parents choosing schools (compare-school-performance.service.gov.uk), and to provide schools with information for self-improvement.APPROACHThe standard approach is to use the NPD to fit school 'value-added' fixed or random effect linear regression models to student GCSE examination scores where student KS2 test scores and sociodemographics (age, gender, ethnicity, language, FSM, SEN, IDACI) are entered as covariates to attempt to adjust the resulting predicted school effects for school differences in the student body at intake which would otherwise bias the school comparisons.TOPIC 1We will use the Census 2011 student, household, and neighbourhood characteristics available in the Wave 1 GUIE data (2014/15 cohort) to extend the standard approach to make far richer adjustments for school differences in the student body at intake. We will study the importance of these additional adjustments and their impact on the predicted school effects and in doing so we will assess the adequacy or not of the standard approach to address the non-random assignment of students to schools.TOPIC 2We will use students' employment and earnings 1, 3, 5 and 10 years after graduation available in LEO to extend the standard approach to explore school differences on students' longer-term labour market outcomes. Specifically, we will change the dependent variable in the standard approach to different labour market outcomes and we will explore models with and without GCSE score entered as a covariate. We will study the resulting predicted school effects and how they change across the different outcomes to highlight the inequalities in the school system.
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