RESEARCH ON CHILD NEGLECT

拟议的项目将增加我们对范围的了解 在有色人种儿童中被忽视。它承诺确定是否存在种族歧视 不成比例可以用任何一种或多种形式的偏见来解释，这种偏见可能 当案件通过儿童保护系统处理时就会出现这种情况。中环 需要检验的假设是，观察到的种族不均衡性 报告和证实的儿童忽视可以通过以下方式解释：(A)报告 偏见，(B)实证法，(C)标签偏见，(D)暴露偏见，和/或(E) 聚集偏向。这项研究的主要贡献是 知识是一种称为分解或分解的方法的应用 残差方法，允许评估的相对大小 每一种可能的偏见。这种方法可以应用于收集的数据 来自其他州或县的。该研究项目将为其他分析师提供 使用强大的工具来研究种族不平等在其他方面的 儿童的健康和福利，如有可能提出报告或类似情况 偏见是已知存在的。明尼苏达州提供了一个优秀的实验室 对不相称现象的研究；明尼苏达州在种族方面领先全国 不成比例。如果调查人员能理解种族 明尼苏达州的不成比例，应该可以理解它 其他地方。通过与儿童保护服务机构在 明尼苏达州的三个县，以及#年的公共服务部 明尼苏达州，该项目将扩大关于多大和 忽视儿童的报告可能会出现持续的差异。四种方法将是 用于评估和衡量#年儿童忽视统计数据中的潜在偏见 明尼苏达州。首先，调查人员将对统计分类进行审查 通过一个新系统收集的全州儿童忽视数据现在正在 由明尼苏达州公共服务部实施。第二，他们会 在政策和方法不同的三个县内审查 提供服务和收集有关忽视儿童的基本数据，样本如下 被忽视的儿童的档案。第三，调查人员将前瞻性地寻找 在哪些情况下，最有可能通过放置 在儿童保护服务和战略上受过培训的哨兵 受托专业人士的办公室。在每个阶段，他们将具体说明和 估计基本模型方程并构建统计检验 各种形式的偏见。通过查看来自不同数据收集的偏差 努力和观点，调查人员将获得额外的有效性，他们的 结果。这项研究的结果将有助于指导政策的方向 立法者应该改变立场，以解决持续存在的种族问题 忽视儿童方面的差距。

The proposed project will increase our understanding of the scope of neglect among children of color. It promises to determine whether racial disproportionality can be explained by any one or more forms of bias that may arise when cases are processed through the child protective system. The central hypothesis to be tested is whether the observed racial disproportionality in reported and substantiated child neglect can be explained by (a) reporting bias, (b) substantiation laws, (c) labeling bias, (d) exposure bias, and/or (e) aggregation bias. The major contribution that the research makes to the body of knowledge is the application of a methodology called a decomposition or residual difference method that permits the assessment of the relative sizes of each of these possible biases. The methodology can be applied to data collected from other states or counties. The research project will provide other analysts with powerful tools for looking at racial inequality in other aspects of the health and welfare of children where the potential for reporting or similar biases is known to exist. Minnesota provides an excellent laboratory for the study of disproportionality; Minnesota leads the nation in racial disproportionality. If the investigators can understand racial disproportionality in Minnesota, it should be possible to understand it elsewhere. Through a unique collaboration with child protective services in three counties in Minnesota and with the Department of Human Services in Minnesota, the project will expand the body of knowledge on how large and sustained disparities in child neglect reports can arise. Four methods will be used to assess and measure potential bias in child neglect statistics in Minnesota. First, the investigators will examine statistically disaggregated statewide child neglect data collected through a new system now being implemented by the Minnesota Department of Human Services. Second, they will examine, within three counties with differing policies and approaches to delivery of services and collection of basic data on child neglect, a sample of files of neglected children. Third, the investigators will look prospectively at which cases are most likely to be screened out of the system by placing trained sentinels in the child protective services and strategically in the offices of mandated professionals. At each stage, they will specify and estimate underlying model equations and construct statistical tests measuring various forms of bias. By looking at bias from different data collection efforts and perspectives, the investigators will gain added validity in their results. The results of this research will help guide the direction that policy makers should shift in order to address the problem of persistent racial disparities in child neglect.