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DFE: The unequal representation of ethnic minorities for different types of special educational needs: Extent, causes and consequences

DFE: The unequal representation of ethnic minorities for different types of special educational needs: Extent, causes and consequences
DFE:少数民族在不同类型特殊教育需求方面的代表性不平等:程度、原因和后果
批准号:
ES/P000991/1
负责人:
Steve Strand
金额:
$20.55万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2017
资助国家:
英国
项目状态:
已结题
起止时间:
2017 至 --

项目摘要

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中文摘要
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英文摘要
Representative research in the US has established that Black students are substantially more likely to be identified with Special Educational Needs (SEN) than the majority White group. The only nationally representative studies in England in the last 25 years (Strand & Lindsay, 2009; 2012) report a more nuanced picture across different types of disability, with for example Black Caribbean pupils being twice as likely as White British pupils to be identified with Behavioural and Emotional and Social Difficulties, but Asian pupils being only half as likely as White British pupils to be identified with Autistic Spectrum Disorders. There are concerns this over-representation reflects social bias in school identification processes and results in inappropriate special education provision, while under-representation reflects cultural or economic barriers to accessing services and results in unmet need. These results have important implications for Government, Local Authorities and schools as the Equalities Act (2010) places a general duty on all public bodies to eliminate unlawful discrimination and advance equal opportunity.However relatively little is known about the factors which contribute to ethnic disproportionality, largely because of methodological limitations. Studies in the UK have often been small scale and unrepresentative while studies in the US are typically large but based on aggregate data that do not allow the sophisticated analyses possible only with student level data, or based on longitudinal surveys but with samples that are small relative to the incidence of special education. Methodologically, this project will provide three innovations. First it will use national census data on over 6 million students aged 5-16 years to build a nuanced picture across all ethnic groups for every category of SEN. Second it will be the first to utilise multilevel statistical models to estimate the relative influences of student, school and local authority (LA) factors on SEN identification. Third it will move beyond static models of SEN identification at a single point in time to build a dynamic model of the development of SEN by tracking two cohorts, each of 575,000 students, as they progress over time, one through primary school (from Reception to Y6) and the other through secondary school (from Y6 to Y11). Theoretically, the research will allow the evaluation of competing hypothesises about the possible causes of unequal representation, for example by determining whether socio-economic factors such as poverty and economic deprivation can account for the ethnic disproportionality in different types of SEN. The impact of other factors including age, gender, early educational attainment, attendance and behaviour will be explored, as well as school and LA factors such as size, type and social and ethnic composition. The project addresses published DFE research priorities (2014) around the accurate identification of SEN, the ESRC strategic priority to promote a Vibrant and Fair Society and the Equalities Act (2010) duty to eliminate unlawful discrimination. It is timely given the introduction of a new SEN and Disability Code of Practice in September 2014 and the fact that ethnic minority students now constitute over one-quarter (28%) of the age 5-16 school population.The project will have wide impact mediated by a strong advisory group comprising practitioners and policy advisers as well as notable academics in the fields of education, psychology and sociology. The outputs will be tailored to maximise impact by: (i) communicating through short accessible summaries and reports; (ii) targeting outputs through practitioner and professional networks; (iii) producing a comprehensive Local Authority (LA) data pack identifying levels of disproportionality for all 150 LAs in England allowing benchmarking and comparative analysis, and; (iv) holding a user-focussed national dissemination event.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Black pupils' schooling 'dumbed down over special needs'.
黑人学生的学校教育“因特殊需要而被降低”。
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [BBC News]
通讯作者: BBC News
Black pupils more likely to be diagnosed with special needs
黑人学生更有可能被诊断出有特殊需要
DOI: --
发表时间: 2019
期刊:
影响因子: --
作者: [Children, Young People Now]
通讯作者: Young People Now
Ethnic disproportionality in the identification of Autistic Spectrum Disorder (ASD): A national longitudinal cohort age 4-11.
自闭症谱系障碍 (ASD) 识别中的种族不成比例:全国 4-11 岁纵向队列。
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Strand. S.]
通讯作者: Strand. S.
Ethnic Disproportionality in the Identification of High-Incidence Special Educational Needs: A National Longitudinal Study Ages 5 to 11
确定高发生率特殊教育需求中的种族不成比例:一项针对 5 至 11 岁儿童的全国纵向研究
DOI: 10.1177/0014402921990895
发表时间: 2021
期刊: Exceptional Children
影响因子: 2.8
作者: [Strand S]
通讯作者: Strand S
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