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The role of self-math overlap in understanding math anxiety and the relation between math anxiety and performance

机译:自我数学在理解数学焦虑中的作用以及数学焦虑与绩效之间的关系

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摘要

Recent work has demonstrated that math anxiety is more than just the product of poor math skills. Psychosocial factors may play a key role in understanding what it means to be math anxious, and hence may aid in attempts to sever the link between math anxiety and poor math performance. One such factor may be the extent to which individuals integrate math into their sense of self. We adapted a well-established measure of this degree of integration (i.e., self-other overlap) to assess individuals’ self-math overlap. This non-verbal single-item measure showed that identifying oneself with math (having higher self-math overlap) was strongly associated with lower math anxiety (r = -0.610). We also expected that having higher self-math overlap would leave one especially susceptible to the threat of poor math performance to the self. We identified two competing hypotheses regarding how this plays out in terms of math anxiety. Those higher in self-math overlap might be more likely to worry about poor math performance, exacerbating the negative relation between math anxiety and math ability. Alternatively, those higher in self-math overlap might exhibit self-serving biases regarding their math ability, which would instead predict a decoupling of the relation between their perceived and actual math ability, and in turn the relation between their math ability and math anxiety. Results clearly favored the latter hypothesis: those higher in self-math overlap exhibited almost no relation between math anxiety and math ability, whereas those lower in self-math overlap showed a strong negative relation between math anxiety and math ability. This was partially explained by greater self-serving biases among those higher in self-math overlap. In sum, these results reveal that the degree to which one integrates math into one’s self – self-math overlap – may provide insight into how the pernicious negative relation between math anxiety and math ability may be ameliorated.
机译:最近的工作表明,数学焦虑不只是不良的数学技能的产物。社会心理因素可能在理解数学焦虑的含义中起关键作用,因此可能有助于切断数学焦虑与数学表现差之间的联系。其中一个因素可能是个人将数学整合到自我意识中的程度。我们针对这种整合程度(即其他自我重叠)采用了完善的衡量标准,以评估个人的自我数学重叠。这种非语言的单项测量表明,用数学识别自己(具有较高的自我数学重叠)与较低的数学焦虑密切相关(r = -0.610)。我们还期望更高的自数重叠将使一个特别容易受到数学运算性能差的威胁。我们从数学焦虑的角度确定了两个相互竞争的假设。那些自我数学交叠程度较高的人可能更可能担心数学表现不佳,从而加剧了数学焦虑与数学能力之间的负相关关系。或者,那些自我数学交叠程度较高的人可能会在数学能力方面表现出自我服务的偏见,反而会预示他们的感知能力与实际数学能力之间的关系会脱钩,进而预测其数学能力与数学焦虑之间的关系。结果清楚地支持了后一种假设:自我数学交叠程度较高的人表现出数学焦虑与数学能力之间几乎没有关系,而自我数学交叠程度较低的人表现出数学焦虑与数学能力之间强烈的负相关关系。这部分是由于自我数学重叠较高的人中更大的自我服务偏见所致。总而言之,这些结果表明,人们将数学整合到自己的自我(自我数学重叠)中的程度,可以为如何缓解数学焦虑与数学能力之间的有害负相关提供见解。

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