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The Influence of Chronic Absenteeism on Grade 6, Grade 7, and Grade 8 2014 New Jersey Assessment of Skills and Knowledge.

机译:慢性旷工对6级,7级和8级2014年新泽西州技能和知识评估的影响。

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摘要

This cross-sectional, correlational, explanatory study aimed to explain what influence, if any, chronic absenteeism has on Grade 6, 7, and 8 English Language Arts (ELA) and Mathematics New Jersey Assessment of Skills and Knowledge (NJ ASK) performance, in the aggregate, when controlling for other influential student and school demographic variables. Student achievement scores on the Grade 6-8 ELA NJ ASK and Mathematics NJ ASK were analyzed separately. Analyses were conducted using simultaneous regression, hierarchical regression, and binary logistic regression models. All student data explored in this study pertained to 220 Grade 6-8 middle schools located in New Jersey during the 2013-2014 school year. The sample was taken from the New Jersey Department of Education (NJDOE) NJ School Performance Report 2014, which was representative of a proportional random sample of New Jersey's district composition. The results of the study revealed that using chronic absenteeism as an independent variable to predict the dependent variable of students scoring Proficient or above on the NJ ASK accounted for a weak contribution---.9% for ELA and .5% for Mathematics---in the total variance that can be explained in ELA and Mathematics performance. This was demonstrated in Model 4 of the hierarchical regression where the independent variables chronically absent students, students with limited English proficiency, students with disabilities, and students with low socioeconomic status were considered. The results of the study also revealed that chronic absenteeism was not a statistically significant predictor of the odds to determine whether or not students would score Proficient or above on the Grades 6-8 ELA or Mathematics NJ ASK.
机译:这项横断面,相关性,解释性研究旨在解释长期旷课对6、7和8年级英语语言艺术(ELA)和新泽西州数学技能和知识评估(NJ ASK)的影响,总的来说,当控制其他有影响力的学生和学校人口统计学变量时。分别分析了6-8年级的ELA NJ ASK和数学NJ ASK的学生成绩得分。使用同时回归,层次回归和二元逻辑回归模型进行分析。在这项研究中探索的所有学生数据均与2013-2014学年期间位于新泽西州的220所6-8年级中学有关。该样本取自《新泽西州教育部(NJDOE)2014年新泽西州学校绩效报告》,该报告代表了新泽西州地区构成的比例随机样本。研究结果表明,使用长期旷工作为自变量来预测在NJ ASK上达到熟练或以上成绩的学生的因变量造成的贡献很弱-ELA为-9%,数学为.5%- -总方差可以用ELA和数学成绩来解释。这在分层回归模型4中得到了证明,该模型中考虑了独立变量长期缺席的学生,英语能力有限的学生,残障学生和社会经济地位较低的学生。研究结果还表明,长期缺勤并不是统计学上显着的预测因素,它决定学生是否会在6-8年级ELA或Mathematics NJ ASK上获得熟练或更高的分数。

著录项

  • 作者

    Dunlap, Cheryl A.;

  • 作者单位

    Seton Hall University.;

  • 授予单位 Seton Hall University.;
  • 学科 Education.;Educational administration.
  • 学位 Ed.D.
  • 年度 2016
  • 页码 244 p.
  • 总页数 244
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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