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An Analysis of the Discrepancy between the Students Responses to Multiple-Choice and Open-Ended Questions on Confidence Interval and P-value: An Exploratory Study.

机译:学生对置信区间和P值的选择题和开放式问题回答之间的差异分析:一项探索性研究。

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摘要

Guidelines for Assessment and Instruction in Statistics Education (GAISE) provide a framework for revising introductory statistics courses. GAISE promotes statistical literacy and statistical thinking, where students not only understand concepts but are able to critically evaluate and make arguments based on quantitative information.;There are multiple definitions of statistical literacy and statistical thinking in the literature. In this thesis we are interested in the aspect of statistical literacy that aims for an educated consumer, one who can process everyday statistical information. Further, Statistical thinking is present when students can apply the statistical information learned to situations such as: 1) using statistics to solve real world problems, 2) critique and interpretation of statistical information reported in the mass media, and 3) interpretation and communication of statistical findings within context.;Despite this growing consensus that students must acquire higher-order think- iing and performance skills in order to apply statistical reasoning and thinking to their research problems successfully, a gap still exists between course objectives and student outcomes. After completion of the coursework, students are more likely to forget the materials learned in course and continue to struggle with applying statistical reasoning and thinking. The type of assessment used in statistics courses provides one explanation for this gap. With the increase number of students enrolled in introductory courses, instructors rely heavily on multiple choice questions to evaluate students0undesrtanding of course materials and principles. Furthermore, in subjects such as mathematics, statistics, chemistry, biology, and physics, research has shown that about 70% of the questions are at the recall or comprehension level with very little attention paid to the questions that target application, analysis, synthesis, and evaluation. Therefore, and based on Bloom's taxonomy, the student outcomes focus on lower level thinking skills (knowledge and comprehension), whereas the course objectives and expectations involve higher level of thinking skills (application, analysis, synthesis, and evaluation). In order to bridge the gap between objectives and outcomes, tests must provide students opportunities to employ higher order thinking. The objectives of this thesis include:;1. Comparison of students'responses to open-ended questions on condence interval and P-value.;2. Prediction of the students' final scores from their scores on "upper level thinking", "application", "lower level computation and "upper level computation".;3. Pinpoint the students'misconceptions of the P-value by comparing the pro- portion of correct answers under two conditions including: a) deciding about the null hypothesis by comparison of the P-value Vs. level of signicance or alpha, and b) deciding about the null hypothesis by examination of the condence interval and the interpretation of the P-vlaue.
机译:《统计教育评估和教学指南》(GAISE)提供了修订统计入门课程的框架。 GAISE促进统计素养和统计思维,使学生不仅理解概念,而且能够基于定量信息进行批判性评估和论证。;文献中对统计素养和统计思维有多种定义。在这篇论文中,我们对面向受过教育的消费者(可以处理日常统计信息的受过教育的消费者)的统计素养方面感兴趣。此外,当学生可以将学习到的统计信息应用到以下情况时,就会出现统计思维:1)使用统计数据解决现实世界中的问题; 2)对大众媒体报道的统计信息进行评论和解释; 3)对信息的解释和交流尽管上下文越来越多地达成共识,即学生必须获得高阶的思维和表演技能,才能成功地将统计推理和思想应用于他们的研究问题,但课程目标和学生成绩之间仍然存在差距。完成课程作业后,学生更有可能忘记在课程中学习到的材料,并继续努力运用统计推理和思维。统计课程中使用的评估类型为这种差距提供了一种解释。随着参加入门课程的学生数量的增加,讲师严重依赖多项选择题来评估学生对课程材料和原理的过度理解。此外,在数学,统计学,化学,生物学和物理学等学科中,研究表明,约有70%的问题属于回忆或理解级别,而很少关注针对应用,分析,合成,和评估。因此,根据布鲁姆的分类法,学生的学习成绩侧重于较低水平的思维技巧(知识和理解力),而课程目标和期望则涉及较高水平的思维技巧(应用,分析,综合和评估)。为了弥合目标与结果之间的差距,测试必须为学生提供机会,使他们能够运用更高层次的思维。本文的目的包括:1。比较学生对开放时间间隔和P值的开放式问题的回答; 2。通过“上层思维”,“应用”,“下层计算和”上层计算”的分数预测学生的最终分数;; 3。通过比较专业人士对P值的误解来确定学生对P值的误解在两个条件下的正确答案的一部分,包括:a)通过比较P值与显着性水平或alpha的水平来确定零假设,以及b)通过检查置信区间和对零散的解释来确定零假设。对vlaue。

著录项

  • 作者

    Dabagh, Safaa M.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Statistics.
  • 学位 M.S.
  • 年度 2016
  • 页码 102 p.
  • 总页数 102
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:51:01

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