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Estimation of the numbers and rates of out-of-school children and adolescents using administrative and household survey data

机译:使用行政和住户调查数据估算失学儿童和青少年的人数和比率

摘要

In the last decade or so, education data from household surveys have been used to complement, supplement and sometimes even substitute for country administrative data on participation and non-participation in schooling. There has been a gradual increase in the use of these household survey data on the demand for schooling, and these data now are usedwidely in intra- and cross-country comparisons made by the UNESCO Institute for Statistics (UIS), UNICEF, the World Bank and many other providers and consumers of education statistics. Country-level use of household survey education data, however, has been more limited. The indicators most often produced using household survey data are the net and gross attendance ratios (NAR and GAR), which typically are treated as comparable to the net and gross enrolment ratios (NER and GER) produced using administrative data. However, there are conceptual differences between enrolment and attendance, with both providing imperfect measures of participation in schooling (UIS, 2004). As the attention to household survey data has increased, and sometimes substantial discrepancies with administrative data have emerged, awareness of the data challenges associated with the use of both administrative and household survey data has grown (see UIS, 2004; UIS, 2010; Omoeva et al., 2013; and Barakat, 2016). In some respects – given the differences in what is being measured by administrative and household survey data (enrolment versus attendance) and the multiple sources of error inherent in each approach, it would be astonishing to find that on the whole enrolment and attendance rates that are comparable. At the same time, given that the attendance and enrolment indicators measure not dissimilar things, the magnitude of difference should not be extreme. Some studies have identified substantial differences between these indicators, however, pointing to serious estimation questions (UIS, 2005; Omoeva et al., 2013). This information paper characterises and explains variations between administrative and household survey estimates of the numbers and rates of out-of-school children (OOSC) at the primary and lower secondary levels, and suggests ways that data from the two sources might be harmonised. This document also discusses issues surrounding the measurement of exclusion from education for youth of upper secondary age, given this population’s competing rights of access to education and the right to work. Administrative and household survey data efforts, as the UIS and UNICEF (2015) note, differ in purpose, in who collects the data and in what ways, and when and with what frequency. And yet because both data sources provide useful education data on similar topics, the data are examined side by side.
机译:在过去的十年左右的时间里,来自家庭调查的教育数据被用来补充,补充甚至有时替代关于参与和不参与学校教育的国家行政数据。这些家庭调查数据对受教育需求的使用已逐渐增加,这些数据现已广泛用于教科文组织统计研究所(UIS),儿童基金会,世界银行进行的国家内部和国家之间的比较。以及其他许多教育统计数据的提供者和使用者。但是,国家一级对家庭调查教育数据的使用受到了更大的限制。最经常使用住户调查数据得出的指标是净出勤率和总出勤率(NAR和GAR),通常可以与使用行政数据得出的净入学率和总入学率(NER和GER​​)相比。但是,入学率和出勤率在概念上存在差异,两者都提供了不完善的入学率衡量标准(UIS,2004)。随着对住户调查数据的关注日益增加,有时与行政数据之间出现了巨大差异,人们越来越意识到与使用行政调查和住户调查数据相关的数据挑战(参见统计研究所,2004;统计研究所,2010; Omoeva等)。等人,2013年;和Barakat,2016年)。在某些方面–鉴于行政和家庭调查数据所衡量的差异(入学与出勤率)以及每种方法固有的多种误差源,令人惊讶的是,从总体上看,入学率和出勤率是可比。同时,考虑到出勤和入学指标衡量的不是相异的事物,差异的程度不应太大。然而,一些研究发现这些指标之间存在实质性差异,指出了严重的估计问题(UIS,2005; Omoeva等,2013)。本信息文件描述并解释了行政管理和家庭调查对小学和初中失学儿童的数量和比率的估计值之间的差异,并提出了两种来源的数据可以统一的方法。考虑到该人群的受教育权和工作权的竞争权,该文件还讨论了有关衡量高中年龄青年排斥教育的问题。正如统计研究所和联合国儿童基金会(2015年)所指出的那样,行政和住户调查数据工作的目的不同,在于谁收集数据,收集数据的方式,时间和频率。但是,由于两个数据源都提供了有关相似主题的有用的教育数据,因此需要对数据进行并行检查。

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