Characterizing Chinese undergraduate students’ empathizing-systemizing profiles: a person-centered approach

Yishu Qin, Da-Wei Zhang
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Abstract

While the empathizing-systemizing (E-S) theory provides a valuable framework for explaining gender differences in STEM majors, previous studies suffer from methodological issues (i.e., the arbitrary cut-off criteria and WEIRD sampling) as well as discrepancies in the behavioral correlates of E-S types. To address the gaps, this study utilized a 3-step latent profile analysis to identify naturally occurring E-S profiles in a Chinese sample and explored the predictors and distal outcomes of the identified profiles. The study recruited 785 (aged 18–25 years, 60% female) Chinese undergraduates. Results revealed five E-S profiles: Disengaged, Empathizers, Navigating systemizers, Technological systemizers, and Self-declared allrounders. Controlling for socioeconomic status, being male predicted a higher likelihood of membership into the Technological systemizers. Besides, membership to the Navigating systemizers and Technological systemizers was associated with better intuitive physics performance. However, no significant variation was observed for social sensitivity performance across E-S profiles. Overall, our results partially conformed to previous findings, highlighting the importance of cultural adaptation and methodological considerations when classifying students’ cognitive types.
中国大学生共情系统化特征:一种以人为本的方法
虽然移情-系统化(E-S)理论为解释 STEM 专业的性别差异提供了一个有价值的框架,但以往的研究存在方法论问题(即任意的截止标准和 WEIRD 抽样),以及 E-S 类型的行为相关性方面的差异。为了弥补这些不足,本研究采用了三步潜特征分析法来识别中国样本中自然出现的 E-S 特征,并探讨了所识别特征的预测因素和远端结果。研究招募了 785 名中国大学生(18-25 岁,60% 为女性)。研究结果显示了五种 E-S 特征:离群者、移情者、导航型系统化者、技术型系统化者和自我宣称的全能者。在控制社会经济地位的前提下,男性更有可能成为技术系统者的一员。此外,加入导航型系统学习者和技术型系统学习者与更好的物理直观表现有关。然而,在社会敏感性方面,不同 E-S 侧写的表现并无明显差异。总之,我们的研究结果与之前的研究结果部分吻合,突出了在对学生的认知类型进行分类时,文化适应和方法考虑的重要性。
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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