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在评估基础学习时超越平均水平的变化:一些不平等度量方法。

Looking beyond changes in averages in evaluating foundational learning: Some inequality measures.

作者信息

Rodriguez-Segura Daniel, Campton Cole, Crouch Luis, Slade Timothy S

机构信息

University of Virginia, United States.

Duke University, United States.

出版信息

Int J Educ Dev. 2021 Jul;84:102411. doi: 10.1016/j.ijedudev.2021.102411.

Abstract

This paper uses measurements of learning inequality to explore whether learning interventions that are aimed at improving means also reduce inequality, and if so, under what conditions. There is abundant evidence that learning levels are generally low in low- and middle-income countries (LMIC), but there is less knowledge about how learning achievement is within these contexts, and especially about how these distributions change as mean levels increase. We use child-level data on foundational literacy outcomes to quantitatively explore whether and how learning inequality using metrics borrowed from the economics and inequality literature can help us understand the impact of learning interventions. The paper deepens recent work in several ways. First, it extends the analysis to six LMIC, displaying which measures are computable and coherent across contexts and baseline levels. This extension can add valuable information to program evaluation, without being redundant with other metrics. Second, we show the large extent to which the disaggregation of inequality of foundational skills between- and within-schools and grades varies by context and language. Third, we present initial empirical evidence that, at least in the contexts of analysis of foundational interventions, improving average performance can reduce inequality as well, across all levels of socioeconomic status (SES). The data show that at baseline, the groups with the highest internal inequality tend to be the groups with lowest SES and lowest reading scores, as inequality among the poor themselves is higher than among their wealthier counterparts. Regardless of which SES groups benefit more in terms of a change in mean levels of reading, there is still a considerable reduction in inequality by baseline achievement as means increase. These results have policy implications in terms of targeting of interventions: much can be achieved in terms of simultaneously improving averages and increasing equality. This seems particularly true when the initial learning levels are as low as they currently are the developing world.

摘要

本文利用学习不平等的衡量指标,探讨旨在提高平均水平的学习干预措施是否也能减少不平等,若能减少,是在何种条件下。有大量证据表明,低收入和中等收入国家(LMIC)的学习水平普遍较低,但对于这些背景下学习成绩的分布情况,尤其是随着平均水平提高这些分布如何变化,人们了解较少。我们使用儿童基础读写能力成果数据,借鉴经济学和不平等文献中的指标,定量探究学习不平等能否以及如何帮助我们理解学习干预措施的影响。本文在几个方面深化了近期的研究工作。首先,将分析扩展至六个低收入和中等收入国家,展示哪些指标在不同背景和基线水平下是可计算且连贯一致的。这种扩展可为项目评估增添有价值的信息,且不会与其他指标重复。其次,我们表明,学校之间以及年级内部基础技能不平等的分解在很大程度上因背景和语言而异。第三,我们提供了初步的实证证据,至少在基础干预措施的分析背景下,提高平均成绩也能减少不平等,涵盖社会经济地位(SES)的各个层面。数据显示,在基线时,内部不平等程度最高的群体往往是社会经济地位最低且阅读分数最低的群体,因为穷人自身之间的不平等高于较富裕人群。无论在阅读平均水平变化方面哪些社会经济地位群体受益更多,随着平均水平提高,基于基线成绩的不平等仍会大幅减少。这些结果在干预措施的目标定位方面具有政策意义:在同时提高平均水平和增加平等方面可以取得很大成效。当初始学习水平像目前发展中世界那样低时,情况似乎尤其如此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b65b/8246531/4d5bc168f29d/gr1.jpg

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