RESEARCH ON CHILD NEGLECT

拟议的项目将增加我们对范围的了解 忽视有色人种的孩子它承诺要确定是否种族 不一致性可以用任何一种或多种形式的偏见来解释， 当案件通过儿童保护系统处理时，就会出现这种情况。中央 有待检验的假设是， 报告和证实的儿童忽视可以解释为：（a）报告 偏倚，（B）实体法，（c）标签偏倚，（d）暴露偏倚，和/或（e） 聚合偏差这项研究对人体的主要贡献是 知识是一种被称为分解或 残差法，允许评估的相对大小， 每一种可能的偏见。该方法可应用于收集的数据 其他州或县。该研究项目将为其他分析师提供 用强大的工具来看待种族不平等的其他方面， 儿童的健康和福利， 偏见是存在的。明尼苏达州提供了一个很好的实验室， 明尼苏达州在种族歧视方面领先全国 非理性。如果调查人员能理解种族歧视 在明尼苏达州的非军事化，应该可以理解它 其他地方通过与儿童保护服务机构的独特合作， 明尼苏达州的三个县，以及人类服务部， 明尼苏达州，该项目将扩大知识体系， 忽视儿童的报告可能会出现持续的差异。四种方法将 用于评估和衡量儿童忽视统计数据中的潜在偏差， 明尼苏达首先，调查人员将对 通过一个新系统收集的全州儿童忽视数据现在正在 由明尼苏达州人类服务部实施。第二，他们将 研究，在三个国家内，不同的政策和方法， 提供服务和收集关于忽视儿童的基本数据， 被忽视儿童的档案第三，调查人员将前瞻性地 最有可能被系统筛选出的案件， 在儿童保护服务中训练哨兵， 授权专业人员的办公室。在每个阶段，他们将指定和 估计基本模型方程并构建统计检验， 各种形式的偏见。通过观察不同数据收集的偏差 努力和观点，调查人员将获得更多的有效性， 结果这项研究的结果将有助于指导政策的方向， 制造商应该改变，以解决持续存在的种族问题， 忽视儿童的差异。

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.