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首页> 外文学位 >The Child Well-Being Scales as a predictor of caseworker activity and decision making in child protection.
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The Child Well-Being Scales as a predictor of caseworker activity and decision making in child protection.

机译：儿童幸福感量表是个案工作人员活动和儿童保护决策的预测指标。

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摘要

This study examined the use of the Child Well-Being Scales (Magura & Moses, 1986) as an aid to structured decision making in a child protection agency in Ontario, Canada. Trained date abstractors reviewed 337 files closed by the agency between September, 1994 and October, 1996 in order to test the hypotheses that the scales, completed by intake workers, would help improve prediction of a number of key decisions and activities taken by subsequent family service workers. The hypotheses were tested by constructing a series of OLS regression models for the continuous dependent variables, and logistic regression models for two dichotomous dependent variables. A number of potentially confounding variables were entered at step one in these analyses, and the CWBS family score was entered at step two in order to examine its unique contribution.;The null hypotheses suggesting the scales would make no contribution to prediction of: office visits, visits to other locations, phone calls, supervisory consultation, services, case, and placement duration, were rejected. The null hypothesis for the model predicting home visits was not rejected, and though the logistic regression null hypotheses were rejected in respect of the scales, the overall goodness of fit of the models was poor, thus obviating the CWBS results.;In conclusion, the scales appear to make a unique contribution to prediction of many case work activities and decisions. Thus they appear to have some utility, both as a clinical tool and as a contributor to the agency management information system.
机译：这项研究检验了儿童幸福感量表（Magura＆Moses，1986）的使用，以帮助加拿大安大略省儿童保护机构进行结构化决策。受过训练的日期提取者对1994年9月至1996年10月间由该机构关闭的337份文件进行了审查，以检验以下假设：由摄入工人完成的量表将有助于改善对随后的家庭服务所进行的许多关键决定和活动的预测工人。通过为连续因变量构建一系列OLS回归模型以及为两个二分因变量构建logistic回归模型来检验假设。在这些分析的第一个步骤中输入了许多潜在的混淆变量，在第二个步骤中输入了CWBS家族评分以检查其独特的贡献;零假设表明该量表不会对以下方面的预测做出任何贡献： ，拒绝访问其他地方，电话，监督咨询，服务，案例和安置时间。不能拒绝用于预测家访的模型的零假设，尽管在量表上拒绝了逻辑回归零假设，但模型的整体拟合优度很差，从而消除了CWBS结果。量表似乎对许多案例工作活动和决策的预测做出了独特的贡献。因此，它们似乎具有一定的实用性，既可以作为临床工具，也可以作为代理机构管理信息系统的参与者。

著录项

  • 作者

    Lyons, Peter.;

  • 作者单位

    State University of New York at Buffalo.;

  • 授予单位 State University of New York at Buffalo.;
  • 学科 Social work.
  • 学位 Ph.D.
  • 年度 1999
  • 页码 299 p.
  • 总页数 299
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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