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Informing early childhood policy: An analysis of the sensitivity of a school readiness risk index to changes in indicator selection

机译:告知幼儿政策:对入学准备风险指数对指标选择变化的敏感性分析

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摘要

The importance of school readiness to both the future of an individual child and society as a whole has given rise to several state-specific indexes designed to measure county-level risk for starting school unprepared to learn. One such index is the Oklahoma School Readiness Risk Index (OK SRRI), comprised of indicators known to be associated with poor school readiness. Among several indicators considered for the index, the final set was determined on the basis of multivariate statistical methods. Selected indicators related to race/ethnicity, family structure and economics, and child maltreatment. No health-related indicators were included.;A limitation of indexes is that there are no agreed-upon best methods or established theoretical framework of measurement for their construction, which makes indexes subject to specification error. Many indexes are developed using reflective measurement models, which assume indicators reflect a unidimensional latent construct. Indexes, however, follow formative measurement models in which indicators define a multidimensional construct. The use of an erroneous measurement model has considerable implications for policy and resource allocation decisions.;This study examined the sensitivity of the OK SRRI to changes to the indicator set. An alternate index was created that reduced the number of racial/ethnic indicators and included those related to health, such as low birth weight. Indicator selection was guided by a theoretical framework based on transactional/ecological and cumulative risk models of child development, as well as assumptions of formative measurement models. Nearly one-third of Oklahoma's counties experienced considerable shifts in rank from the original to the alternate index. Most increases occurred for counties with high rates on at least one health indicator, while many decreases were among counties with high rates on multiple racial/ethnic-related indicators.;This study demonstrated that changes to the indicator set can change the meaning of a construct, which underscores the significance of the indicator selection process. Given the political nature of indexes, it is imperative that those with a stake in the outcomes be included in these processes. As most indexes related to social constructs are intended to inform policy and resource decision-making, this study has important implications for the field of index construction.
机译:入学准备对于每个孩子的未来以及整个社会的重要性,已经产生了多个州特定指标,这些指标旨在衡量县级初次准备学习的风险。这样的指数之一就是俄克拉荷马州的入学准备就绪风险指数(OK SRRI),其中包括与入学准备不佳相关的指标。在考虑用于该指数的几个指标中,根据多元统计方法确定了最终指标。与种族/民族,家庭结构和经济状况以及虐待儿童有关的选定指标。没有包括与健康相关的指标。指标的局限性在于,尚无商定的最佳方法或已建立的衡量方法的理论框架,这使指标容易出现规格误差。许多指标是使用反射性测量模型开发的,这些模型假设指标反映一维潜在构造。但是,索引遵循形成性的度量模型,其中的指标定义了多维结构。错误的度量模型的使用对政策和资源分配决策具有重要意义。;本研究研究了OK SRRI对指标集更改的敏感性。创建了一个替代指标,该指标减少了种族/种族指标的数量,并包括与健康有关的指标,例如低出生体重。指标的选择基于一个基于儿童发展的交易/生态和累积风险模型的理论框架,以及形成性测量模型的假设。从原始索引到替代索引,俄克拉荷马州近三分之一的县的排名发生了很大变化。大多数增长发生在至少一项健康指标较高的县,而许多下降发生在多个种族/族裔相关指标较高的县。;这项研究表明,对指标集的更改可以改变结构的含义,这突出了指标选择过程的重要性。考虑到索引的政治性质,当务之急是将与结果相关的索引包括在这些过程中。由于大多数与社会建构相关的指标旨在为政策和资源决策提供信息,因此本研究对指标构建领域具有重要意义。

著录项

  • 作者

    Schumacher, Krista S.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Education policy.;Educational tests measurements.;Political science.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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