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Misconceptions in Descriptive Statistics Among Postgraduates in Social Sciences

机译:社会科学研究生对描述统计的误解

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Many efforts on identifying misconceptions among schools and undergraduate students have been done, but for postgraduates, in particular serviced teachers, are yet to be understood. Researches, thesis writing and publications require substantial level of statistical reasoning for postgraduates. The purpose of this study is to identify and analyze postgraduates’ misconceptions in descriptive statistics (central tendency and variability). The instrument was a set of questions design to test statistical reasoning in descriptive statistics. The test was administered to 122 postgraduates who are enrolling in a course on application of statistics in educational research which is a requirement for their master program in education. The misconceptions were analyzed based on the work of various researchers (Lee & Meletiou, 2003; Magina & Cazorla, 2008). This paper describes some similar misconceptions that were found by other researchers; however, some misconceptions on the concept of average were not seen among postgraduates. The overall results show that some postgraduates have poor statistical reasoning skills. This study suggests that statistical reasoning should be taught strategically so as to minimize misconceptions among postgraduate students as well as to empower their statistical reasoning ability.
机译:在确定学校和大学生中的误解方面已经做了许多努力,但是对于研究生,特别是在职教师来说,还有待了解。研究,论文撰写和出版物需要研究生进行大量的统计推理。这项研究的目的是在描述性统计数据(集中趋势和变异性)中识别和分析研究生的误解。该工具是一组用于测试描述性统计中的统计推理的问题设计。该测试是针对122名正在研究统计学在教育研究中应用的研究生的,这是他们的教育硕士课程的要求。根据各种研究人员的工作对误解进行了分析(Lee&Meletiou,2003; Magina&Cazorla,2008)。本文描述了其他研究人员发现的一些类似误解。但是,在研究生中没有发现一些关于平均概念的误解。总体结果表明,一些研究生的统计推理能力较差。这项研究表明,应从策略上讲授统计推理,以最大程度地减少研究生的误解并增强他们的统计推理能力。

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