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THE EFFECTS OF VARIOUS FORMS OF DATA ON THE ABILITY TO ANALYZE TRENDS IN STUDENT PERFORMANCE.

机译:各种数据形式对学生绩效趋势分析能力的影响。

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摘要

Special education teachers are routinely taught to collect and analyze student performance data. Data collection and analysis are assumed to be necessary for accurate analysis of trend in student performance. The possible types of trend are an upward trend (when performance improves), a level trend (when performance remains the same), and a downward trend (when performance worsens). There are a few studies which have examined either teachers' use of observation to analyze trend or compared observation with other forms of data. Some possible forms of data are: raw data, the number of correct and incorrect responses; raw data on graph paper; and, another method of graphic analysis labelled the 6-day line of progress. The present study examined the effects of observation and the three forms of data described above on the ability to accurately analyze trend. The following three research questions were investigated: (1) What form of data permits the most accurate analysis of trend? (2) Does trend analysis differ in accuracy according to type of trend? and (3) Is there an interaction between the form of data and type of trend? A two-factor experimental design was used with four groups of ten subjects each. All subjects were randomly assigned. Subjects analyzed fifteen samples of student performance. Observation was provided through the use of videotaped segments of simulated student performance. All subjects viewed the videotapes with or without additional forms of data. The subjects made judgements regarding the trend of student performance following exposure to each sample. The data were analyzed using a two-way ANOVA. Both the main effect for form of data and the interaction between form of data and type of trend were statistically significant beyond the .01 level. Inspection of the results revealed that all subjects were able to accurately analyze upward trends in performance, but data were required to accurately analyze level and downward trends. These results are interpreted as support for the practice of training teachers to collect and analyze student performance data.
机译:常规教育特殊教育老师收集和分析学生的表现数据。数据收集和分析被认为是准确分析学生表现趋势所必需的。趋势的可能类型是上升趋势(当性能改善时),水平趋势(当性能保持不变时)和下降趋势(当性能变差时)。有一些研究检查了教师使用观察来分析趋势或将观察与其他形式的数据进行了比较。数据的某些可能形式为:原始数据,正确和错误响应的数量;方格纸上的原始数据;另一种图形分析方法标记了6天的进度。本研究检查了观察和上述三种数据形式对准确分析趋势的能力的影响。研究了以下三个研究问题:(1)哪种数据形式可以最准确地分析趋势? (2)根据趋势类型,趋势分析的准确性是否有所不同? (3)数据形式和趋势类型之间是否存在相互作用?采用两因素实验设计,每组四个,每组十个受试者。所有受试者均被随机分配。受试者分析了十五份学生表现样本。通过使用模拟学生表现的录像片段来提供观察。所有对象都观看了带有或不带有其他数据形式的录像带。受试者根据接触每个样本后的学生表现趋势做出判断。使用双向方差分析对数据进行分析。数据形式的主要影响以及数据形式与趋势类型之间的交互作用均在0.01水平以上具有统计学意义。检查结果表明,所有受试者都能够准确地分析表现的上升趋势,但是需要数据才能准确地分析水平和下降趋势。这些结果被解释为对培训教师收集和分析学生成绩数据的实践的支持。

著录项

  • 作者

    UTLEY, BONNIE LEAH.;

  • 作者单位

    University of Pittsburgh.;

  • 授予单位 University of Pittsburgh.;
  • 学科 Special education.
  • 学位 Ph.D.
  • 年度 1982
  • 页码 109 p.
  • 总页数 109
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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