首页> 外文学位 >AN APPLICATION OF STUDENT ENROLLMENT PROJECTION MODELS TO GEORGIA SUBURBAN SCHOOL DISTRICTS (FACILITIES PLANNING, FORECASTING, PREDICTION, POPULATION).
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AN APPLICATION OF STUDENT ENROLLMENT PROJECTION MODELS TO GEORGIA SUBURBAN SCHOOL DISTRICTS (FACILITIES PLANNING, FORECASTING, PREDICTION, POPULATION).

机译:学生入学比例预测模型在乔治亚州郊区学校分布区中的应用(设施规划,预测,预测,人口)。

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摘要

Accuracy of enrollment projections for school districts that are experiencing a rapid increase or decline in student population is difficult to attain. This study utilized five methods in the projection of enrollment for Georgia suburban school districts, as defined by their inclusion in the Standard Metropolitan Statistical Areas of the 1970 U.S. Census Report. These twelve districts ranged in size, in the 1983-84 school year, from 9442 to 68,984 students, with a total enrollment for all districts of 381,991.; The methods included the cohort survival method, linear regression, the standard compound interest formula, average numerical change, and the grade retention model. The latter two had been used by the Georgia Department of Education for five-year facilities planning and for annual State funded program allotments.; A post-projection approach was employed to project to known points in time for one, five, and ten-year projections. Five previous years of data were used to establish the enrollment trends. A mean percentage error for all of the districts in the sample was the statistical measure of accuracy for each method. The acceptable level for a good projection was 1% error per year in the projection.; Three one-year projections for each district yielded an overall mean percentage error as follows: standard compound interest, 1.95%; cohort survival, 2.23%; average numerical change, 2.26%; linear regression, 2.46%; grade retention method, 3.09%. Two five-year projections for each district yielded an overall mean percentage error of: cohort survival, 2.72%; average numerical change, 8.40%; standard compound interest, 8.43%; linear regression, 9.98%. One ten-year projection for each district produced a mean percentage error of: cohort survival, 3.25%; average numerical change, 19.35%; standard compound interest, 24.49%; linear regression, 26.78%.; The cohort survival method projected 22 of the 24 individual district five-year projections within 5% accuracy, and projected 11 of the 12 school districts' ten-year projections within 5% accuracy. This method was recommended for use by the Georgia Department of Education in developing five-year facilities plans for local school districts, and for making annual State funded program allocations based on projected enrollment.
机译:难以实现学生人数迅速增加或减少的学区的入学预测准确性。这项研究采用了五种方法来预测佐治亚州郊区学区的入学率,这是根据1970年美国人口普查报告中的标准大都市统计区的定义进行的。在1983-84学年,这十二个地区的规模不等,从9442名学生增加到68,984名学生,所有地区的总入学人数为381,991名。这些方法包括队列生存方法,线性回归,标准复合利息公式,平均数值变化和等级保留模型。佐治亚州教育部已将后两项用于五年设施规划和每年由国家资助的计划拨款。采用后投影方法将已知的时间点投影为一年,五年和十年的预测。前五年的数据用于确定入学趋势。样本中所有区域的平均百分比误差是每种方法准确性的统计量度。良好预测的可接受水平为每年误差1%。每个地区的三个一年期预测得出的总体平均百分比误差如下:标准复利1.95%;队列生存率2.23%;平均数值变化2.26%;线性回归,2.46%;等级保留法,3.09%。每个地区的两个五年预测得出的总体平均百分比误差为:队列生存率2.72%;队列生存率2.72%。平均数值变化8.40%;标准复利8.43%;线性回归为9.98%。每个地区的十年预测得出的平均百分比误差为:人群生存率3.25%;平均数值变化19.35%;标准复利24.49%;线性回归,26.78%。队列生存方法将24个单独的学区五年预测中的22个预测在5%以内,将12个学区的十年预测中的11个预测在5%以内。佐治亚州教育部建议将此方法用于为当地学区制定五年设施计划,并根据预计的入学人数,每年由州资助计划拨款。

著录项

  • 作者

    STINCHCOMB, HUGH GERALD.;

  • 作者单位

    University of Georgia.;

  • 授予单位 University of Georgia.;
  • 学科 Education Administration.
  • 学位 Educat.D.
  • 年度 1985
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 教育;
  • 关键词

  • 入库时间 2022-08-17 11:51:09

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