Using Linked-administrative Data to Examine the Impact of Parental Disability on Child Attainment

使用关联管理数据检查父母残疾对儿童学业成绩的影响

• 批准号: 2884764
• 金额: --
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2884764
• 关键词: Using; Linked; administrative; Data; Examine

BackgroundLittle is known about the educational attainment of children of parents with disabilities, leaving them vulnerable to education inequalities. Existing evidence from other countries on the associations between parental disability and children's educational outcomes is inconsistent, and the observed associations also vary by demographic, geographic, and socioeconomic factors.This study aims to fill this research gap by using the Growing Up in England linked-administrative dataset to examine the impact of parental disability on child attainment. Administrative data have strengths of large scale, high population coverage, low non-response and attrition rates, and multilevel data across domains, facilitating analysis on hard-to-reach populations. It is also important to shift the deficit-oriented focus in previous disability studies to the interplay between vulnerability and adjustment across life-course development. Thus, this study also aims to explore these children's educational attainment from childhood through late adolescence and subgroups that show vulnerability or resilience under the impact of parental disability.Research Questions1. How do parental disability together with personal, household and social characteristics affect child attainment?2. What are the developmental trajectories of child attainment in the context of parental disability from childhood through late adolescence?3. What are the potential subgroups of children that show vulnerability or resilience in educational outcomes under the impact of parental disability?MethodologyThe Growing Up in England (GUiE) linked administrative dataset will be used (Office for National Statistics, 2022). GUiE Wave-1 links 2011 Census to the feasibility All Education Dataset for England, connecting personal, familial, and household information with educational attainment data. Individuals aged between 10 and 25 years on 31 August 2011 are included in the GUiE if they were educated in England from the academic years 2001-02 to 2014-15. Wave-2 joins five vulnerability datasets (i.e. absences, exclusions, English School Census, Children in Need, and Children Look After) covering the academic years 2010-11 to 2014-15 to the Wave-1 dataset. Research questions will be addressed through advanced quantitative methods. First, the distribution of variables will be analysed through descriptive statistics. Then, with multilevel modelling, this study can better account for the impact of parental disability on child outcomes by considering the potential stratification of social, health and geographical inequalities. To further assess change, it plans to use data-driven approaches (e.g. latent growth modelling) to identify potential educational sub-groups/trajectories of these children based on patterns of changes across different time points in the data.Supervisory TeamThis research project through an ESRC/ADR UK/SGSSS initiative will be supervised by Dr Jasmin Wertz (University of Edinburgh), Dr Bonnie Auyeung (University of Edinburgh) and Dr Louise Marryat (University of Dundee), who are experts in child development with advanced quantitative research skills. ConclusionTo the researcher's knowledge, this is the first study to use GUiE linked-administrative data to examine the impact of parental disability on child attainment within the UK. It may contribute to a deeper understanding of how vulnerable children thrive in the potential intergenerational transmission of disability and may draw implications for educational and family policy and practices.

背景对残疾父母子女的教育程度知之甚少，使他们容易受到教育不平等的影响。现有的证据从其他国家的父母残疾和儿童的教育成果之间的关联是不一致的，所观察到的协会也不同的人口，地理和社会经济因素，本研究旨在填补这一研究空白，通过使用在英格兰长大的链接管理数据集，检查父母残疾对儿童成就的影响。行政数据具有规模大、人口覆盖率高、无应答率和流失率低、跨领域多层次数据等优势，便于对难以接触的人群进行分析。同样重要的是，将以往残疾问题研究中以缺陷为导向的重点转移到整个生命过程发展中脆弱性与调整之间的相互作用上。因此，本研究还旨在探讨这些儿童从童年到青春期后期的教育程度，以及在父母残疾的影响下表现出脆弱性或弹性的亚组。父母的残疾以及个人、家庭和社会特征如何影响子女的成就？2.在父母残疾的背景下，从童年到青春期后期，儿童成就的发展轨迹是什么？3.在父母残疾的影响下，哪些儿童可能在教育成果方面表现出脆弱性或复原力？方法将使用在英格兰长大（GUiE）链接的行政数据集（国家统计局，2022年）。GUiE Wave-1将2011年人口普查与英格兰所有教育数据集的可行性联系起来，将个人，家庭和家庭信息与教育程度数据联系起来。2011年8月31日年龄在10至25岁之间的个人，如果他们在2001-02至2014-15学年在英格兰接受教育，则被纳入GUiE。Wave-2将涵盖2010-11至2014-15学年的五个脆弱性数据集（即缺勤、排除、英国学校普查、需要帮助的儿童和儿童照顾）与Wave-1数据集结合起来。研究问题将通过先进的定量方法来解决。首先，将通过描述性统计分析变量的分布。然后，与多层次建模，本研究可以更好地考虑到父母残疾对儿童的结果的影响，考虑潜在的分层的社会，健康和地理不平等。为了进一步评估变化，它计划使用数据驱动的方法（例如潜在成长模型），根据数据中不同时间点的变化模式，确定这些儿童的潜在教育亚组/轨迹。监督团队本研究项目通过ESRC/ADR UK/SGSSS倡议进行，将由Jasmin Wertz博士监督（爱丁堡大学），Bonnie Auyeung博士（爱丁堡大学）和Louise Marryat博士（邓迪大学），他们是儿童发展方面的专家，拥有先进的定量研究技能。ConclusionTo研究人员的知识，这是第一项研究使用GUIE链接的行政数据，以检查父母残疾对儿童的成就在英国的影响。它可能有助于更深入地了解弱势儿童如何在残疾的潜在代际传递中茁壮成长，并可能对教育和家庭政策及做法产生影响。