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Early identification and prediction of students at risk for dropping out of school using the School Archival Records Search (SARS).

机译:使用学校档案记录搜索(SARS)来早期识别和预测面临辍学风险的学生。

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摘要

The purpose of this study was to investigate the usefulness of the School Archival Records Search (SARS) as a screening instrument for predicting school dropout. School records from students who dropped out of school (n = 53) and those who graduated from high school (n = 52) were coded using the SARS. Discriminant function analyses, t-tests and multiple regression analyses were conducted. Results indicated that when data from student records from grades 3-6 were used, (a) there were significant differences between dropouts and persisters on achievement test scores and negative narrative comments and (b) dropouts were classified correctly using data collected with the SARS with 77.4% accuracy. When data from student records from grades 7-12 were used, (a) there were significant differences between dropouts and persisters for number of middle and high schools attended, number of absences, referrals to outside agencies, negative narrative comments and achievement test scores and (b) dropouts were classified correctly with 94.3% accuracy using data collected with the SARS. Multiple regression analyses indicated that the predictive ability of the SARS, R;This study demonstrated the utility of the SARS as a screening instrument for the early identification of students who are at risk for dropping out of school. From the results obtained, it appears that there are significant differences between dropouts and persisters and that these differences exist as early as third through sixth grade and they become greater as the students advance through the school system. The importance of this information regarding implications for treatment and future research in this area and limitations of this investigation are discussed.
机译:这项研究的目的是调查学校档案记录搜索(SARS)作为预测学校辍学的筛选工具的有用性。辍学学生(n = 53)和高中毕业学生(n = 52)的学校记录均使用SARS进行编码。进行判别函数分析,t检验和多元回归分析。结果表明,当使用来自3-6年级的学生记录的数据时,(a)辍学率和坚持率在成绩测试分数和负面叙述方面存在显着差异,并且(b)使用SARS收集的数据对辍学率进行了正确分类。 77.4%的准确性。当使用来自7至12年级的学生记录的数据时,(a)辍学率和坚持率在就读初中和高中的数量,缺勤率,转介到外部机构,负面叙事评论和成就测验分数以及(b)使用SARS收集的数据对辍学者进行了正确分类,准确率达到94.3%。多元回归分析表明,SARS R的预测能力;本研究证明了SARS作为筛查工具的效用,可用于早期识别有辍学风险的学生。从获得的结果来看,辍学者和坚持者之间存在显着差异,而且这些差异早在三年级至六年级就存在,并且随着学生通过学校系统的发展而变得更大。讨论了该信息对于治疗和该领域未来研究的意义以及该研究的局限性的重要性。

著录项

  • 作者单位

    University of Oregon.;

  • 授予单位 University of Oregon.;
  • 学科 Education Early Childhood.;Education Elementary.
  • 学位 Ph.D.
  • 年度 1990
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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