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A Rasch Analysis of the Statistical Anxiety Rating Scale

机译:统计焦虑评分量表的Rasch分析

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摘要

The conceptualization of a distinct construct known as statistics anxiety has led to the development of numerous rating scales, including the Statistical Anxiety Rating Scale (STARS), designed to assess levels of statistics anxiety. In the current study, the STARS was administered to a sample of 423 undergraduate and graduate students from a midsized, western United States university. The Rasch measurement rating scale model was used to analyze scores from the STARS. Misfitting items were removed from the analysis. In general, items from the six subscales represented a broad range of abilities, with the major exception being a lack of items at the lower extremes of the subscales. Additionally, a differential item functioning (DIF) analysis was performed across sex and student classification. Several items displayed DIF, which indicates subgroups may ascribe different meanings to those items. The paper concludes with several recommendations for researchers considering using the STARS.
机译:一种被称为统计焦虑的独特结构的概念化导致了许多评估量表的发展,包括旨在评估统计焦虑水平的统计焦虑量表(STARS)。在当前的研究中,对来自美国西部中型大学的423名本科生和研究生进行了抽样研究。 Rasch测量评定量表模型用于分析STARS的得分。不合适的项目已从分析中删除。总的来说,六个分量表的项目代表了广泛的能力,但主要的例外是在分量表的较低极限情况下缺少项目。此外,还对性别和学生分类进行了差异项功能(DIF)分析。显示为DIF的多个项目表示子组可能将不同的含义赋予这些项目。本文最后为研究人员考虑使用STARS提供了一些建议。

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  • 来源
    《Journal of applied measurement》 |2013年第4期|414-434|共21页
  • 作者

    Eric D. Teman;

  • 作者单位

    University of Northern Colorado, Applied Statistics and Research Methods, McKee 518, Campus Box 124, Greeley, CO 80639, USA;

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  • 正文语种 eng
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