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Experience, age, and subject matter bias of secondary teachers using the American Association of School Personnel Administrator's Interactive Computer Interview System.

机译:使用美国学校人事协会管理员交互式计算机面试系统的中学教师的经验,年龄和主题偏见。

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摘要

The objective of this study was to determine whether age, teaching experience, and content area taught influences the score earned by secondary school teachers when using the Interactive Computer Interview System. Results indicate the correlation between the experience levels of the interviewees, age and the total scores earned on the ICIS interview was weak (r = -0.033 and -0.087).;Additionally, regression analyses were performed using age of the interviewee and experience level as a predictor of score earned on the ICIS. Their r-squares were very low for both variables ( 0.007). Because the model only accounts for less than one percent (0.7%) of the unexplained variation, the usefulness in making accurate predictions of ICIS scores based on age or experience is not good.;For the question of the four content area clusters (language arts and social studies, math and science, physical education and health, and fine arts) having influence on ICIS scores, an analysis of variance (ANOVA) was calculated to evaluate the variance across four content scales in relationship to ICIS scores achieved by the secondary teachers. The ANOVA test result was F = 1.89. With a critical value of .05, the critical F equaled 2.82. Therefore, since the F statistic is smaller than the critical value, the null hypotheses that the scores between the four groups are the same is not rejected. The differences in scores with these group samples appears to be due to random sampling error and normal variation.
机译:这项研究的目的是确定使用交互式计算机面试系统时,年龄,教学经验和所教授的内容领域是否影响中学教师的得分。结果表明,受访者的经验水平,年龄与ICIS访谈所得总分之间的相关性较弱(r = -0.033和-0.087)。此外,还使用受访者的年龄和经验水平进行回归分析ICIS得分的预测指标。对于两个变量,它们的r平方都非常低(<0.007)。由于该模型仅占不到无法解释的变化的百分之一(0.7%),因此无法根据年龄或经验对ICIS分数进行准确的预测。(对于四个内容区域类的问题(语言艺术)和社会研究,数学和科学,体育与健康以及美术)对ICIS分数的影响,计算了方差分析(ANOVA),以评估四种内容量表与中学教师实现的ICIS分数之间的差异。方差分析的测试结果为F = 1.89。临界值为0.05,临界F等于2.82。因此,由于F统计量小于临界值,因此不拒绝四个组之间的分数相同的零假设。这些组样本的分数差异似乎是由于随机抽样误差和正常变化所致。

著录项

  • 作者

    Massey, Stephen.;

  • 作者单位

    University of Kansas.;

  • 授予单位 University of Kansas.;
  • 学科 Education Leadership.;Education Administration.
  • 学位 Ed.D.
  • 年度 2010
  • 页码 90 p.
  • 总页数 90
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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