A Psychological Model Explaining Why We Love or Hate Statistics
A Psychological Model Explaining Why We Love or Hate Statistics
复制标题
解释我们为什么喜欢或讨厌统计的心理模型
DOI：
10.1016/j.kjss.2016.08.013
复制
发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Juneman Abraham
中科院分区：
文献类型：
--
作者：
Tommy Prayoga;Juneman Abraham
社会科学专业的学生往往讨厌统计学，因此不能以最佳方式利用统计学。由于对统计态度的影响因素的研究很少，所以作者在一个假设模型中调查了五个可能的影响因素。这项研究的样本是印度尼西亚大雅加达的255名心理学学生(52名男性，203名女性；MAGE=20.309岁，SDAGE=1.182岁)。通过路径分析发现，数学自我效能感和数学史鉴赏力对统计挪用有预测作用，模糊性容忍度对以往不良数学经历有预测作用。最后，统计挪用和以往糟糕的数学经验都可以预测对统计的态度，从而证实了假设模型。总体心理模型有很好的拟合度(χ2(7，N=0.9255)=7.72，p>；10.05)。
Students of social sciences often hate statistics and therefore cannot utilize statistics optimally. As only a few studies are available on the antecedents of the attitude towards statistics, the authors investigated five possible antecedents in a hypothetical model. The sample for this study was 255 psychology students across Greater Jakarta, Indonesia (52 males, 203 females;Mage= 20.309 years old,SDage= 1.182 years). Using path analysis, it was found that mathematics self-efficacy and appreciation towards history of mathematics can predict statistics appropriation, while ambiguity tolerance can predict previous bad mathematics experience. Finally, both statistics appropriation and previous bad mathematics experience can predict attitude towards statistics, thus confirming the hypothesized model. The overall psychological model had a good fit (χ2(7,N= 255) = 7.72,p> .05).