<p>Over the past decade, secondary analysis of large quantitative datasets has begun to make a significant contribution to furthering our understanding of the lives of people (including children and young people) with intellectual disability and the inequities they experience compared to their nondisabled peers. This critical development brings population-level understanding about the lives of people with intellectual disability into line with the more established tradition of this research approach in areas such as child development, social policy, education, sociology, economics and public health. Secondary analysis in these fields has been primarily undertaken on either large-scale health or social surveys or clinical/administrative data held by health, social, census or welfare agencies or governments. This first special issue on this topic for the <i>Journal of Intellectual Disability Research</i> demonstrates that similar benefits can result from secondary analysis as it becomes a more established feature of the intellectual disability research landscape.</p><p>Secondary analysis offers, among other benefits, the following three opportunities for improving our understanding of the lives of people with intellectual disability. The first is to better understand the overall prevalence of intellectual disability and prevalence among sub-groups of particular interest at a particular point in time and how this may change over time. The second is to describe and quantify the association between intellectual disability and indicators of health and well-being and broad social determinants of health and well-being such as income, housing, education, employment, discrimination, violence and social exclusion. Associations that may reflect risk factors for the incidence and/or prevalence of intellectual disability or the consequences of having an intellectual disability in specific contexts at a particular point in history. The third benefit comes from the opportunity to examine the barriers experienced by people with intellectual disability in accessing critical services such as health care or life opportunities such as employment and community participation. Linking national survey data and administrative datasets can bring additional opportunities such as tracing the service trajectories for people with intellectual disability and evaluating the reach of intellectual disability services compared to the nature and patterning of services and supports needs over time.</p><p>One particular benefit of secondary analysis is that it often allows each of these three areas to be explored using data that are reasonably representative of national or state/provincial populations. As such, findings from secondary analysis of large quantitative datasets can help establish points for national or regional policy change to reduce the inequities experienced by people with intellectual disability. Research using secondary analysis of large quantitative datasets can als
我们期待着二级数据分析为创造关于智力残疾者健康和福祉的全球和国家相关知识作出越来越重要的贡献。
{"title":"Secondary analysis of large quantitative datasets (or doing research with other people's data)","authors":"G. Llewellyn, H. Ouellette-Kuntz, E. Emerson","doi":"10.1111/jir.13101","DOIUrl":"10.1111/jir.13101","url":null,"abstract":"<p>Over the past decade, secondary analysis of large quantitative datasets has begun to make a significant contribution to furthering our understanding of the lives of people (including children and young people) with intellectual disability and the inequities they experience compared to their nondisabled peers. This critical development brings population-level understanding about the lives of people with intellectual disability into line with the more established tradition of this research approach in areas such as child development, social policy, education, sociology, economics and public health. Secondary analysis in these fields has been primarily undertaken on either large-scale health or social surveys or clinical/administrative data held by health, social, census or welfare agencies or governments. This first special issue on this topic for the <i>Journal of Intellectual Disability Research</i> demonstrates that similar benefits can result from secondary analysis as it becomes a more established feature of the intellectual disability research landscape.</p><p>Secondary analysis offers, among other benefits, the following three opportunities for improving our understanding of the lives of people with intellectual disability. The first is to better understand the overall prevalence of intellectual disability and prevalence among sub-groups of particular interest at a particular point in time and how this may change over time. The second is to describe and quantify the association between intellectual disability and indicators of health and well-being and broad social determinants of health and well-being such as income, housing, education, employment, discrimination, violence and social exclusion. Associations that may reflect risk factors for the incidence and/or prevalence of intellectual disability or the consequences of having an intellectual disability in specific contexts at a particular point in history. The third benefit comes from the opportunity to examine the barriers experienced by people with intellectual disability in accessing critical services such as health care or life opportunities such as employment and community participation. Linking national survey data and administrative datasets can bring additional opportunities such as tracing the service trajectories for people with intellectual disability and evaluating the reach of intellectual disability services compared to the nature and patterning of services and supports needs over time.</p><p>One particular benefit of secondary analysis is that it often allows each of these three areas to be explored using data that are reasonably representative of national or state/provincial populations. As such, findings from secondary analysis of large quantitative datasets can help establish points for national or regional policy change to reduce the inequities experienced by people with intellectual disability. Research using secondary analysis of large quantitative datasets can als","PeriodicalId":16163,"journal":{"name":"Journal of Intellectual Disability Research","volume":"67 12","pages":"1197-1199"},"PeriodicalIF":3.6,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jir.13101","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71521702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}