The association of self-efficacy, anxiety sensitivity, and perfectionism with statistics and math anxiety

Nicholas J. McCaughey, Taylor G. Hill, S. Mackinnon
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Abstract

Statistics and math anxiety are pervasive problems for post-secondary students. We hypothesized that self-efficacy would be negatively related to math/statistics anxiety, and that anxiety sensitivity and perfectionism would be positively related to math/statistics anxiety, even when controlling for gender, university program, and education level. Method: Graduate and undergraduate students (N = 447, after exclusions) completed an online self-report questionnaire, including an abbreviated version of the Statistics Anxiety Rating Scale (STARS), math anxiety, self-efficacy, anxiety sensitivity, perfectionism, and demographics. Results: Exploratory factor analysis supported a six-factor structure for statistics anxiety. Self-efficacy was negatively associated with math/statistics anxiety, whereas anxiety sensitivity and perfectionism were positively associated with math/statistics anxiety. Relationships ranged from small-to-moderate, and most relationships persisted after adding covariates. Discussion: Our study suggests the feasibility of a short-form version of the STARS. Moreover, it provides important information on how personality is associated with domain-specific anxiety that can impede statistics education.
自我效能感、焦虑敏感性和完美主义与统计和数学焦虑的关系
统计和数学焦虑是中学后学生普遍存在的问题。我们假设自我效能感与数学/统计学焦虑呈负相关,焦虑敏感性和完美主义与数学/统计焦虑呈正相关,即使在控制性别、大学课程和教育水平的情况下也是如此。方法:研究生和本科生(N=447,排除在外)完成了一份在线自我报告问卷,包括统计焦虑评定量表(STARS)的缩写版、数学焦虑、自我效能感、焦虑敏感性、完美主义和人口统计学。结果:探索性因素分析支持统计学焦虑的六因素结构。自我效能感与数学/统计学焦虑呈负相关,而焦虑敏感性和完美主义与数学/统计焦虑呈正相关。关系从小到中等,大多数关系在添加协变量后仍然存在。讨论:我们的研究表明了STARS的简短版本的可行性。此外,它还提供了关于人格如何与可能阻碍统计学教育的领域特定焦虑相关的重要信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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