Qin Yishu, Zhang Da-Wei
School of Educational Sciences, Yangzhou University, Yangzhou, China.
Department of Psychology, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Selangor, Malaysia.
Front Psychol. 2024 Jul 15;15:1395560. doi: 10.3389/fpsyg.2024.1395560. eCollection 2024.
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: . Controlling for socioeconomic status, being male predicted a higher likelihood of membership into the . Besides, membership to the and 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.
虽然共情-系统化(E-S)理论为解释STEM专业中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学问题(即任意的截断标准和怪异样本)以及E-S类型行为相关性的差异。为了填补这些空白,本研究采用了三步潜在剖面分析来识别中国样本中自然出现的E-S剖面,并探讨所识别剖面的预测因素和远端结果。该研究招募了785名中国本科生(年龄在18至25岁之间,60%为女性)。结果揭示了五种E-S剖面: 。在控制社会经济地位后,男性被预测更有可能属于 。此外,属于 和 的成员在直观物理表现方面更好。然而,在E-S剖面中,社会敏感性表现没有观察到显著差异。总体而言,我们的结果部分符合先前的发现,突出了文化适应和分类学生认知类型时方法学考虑的重要性。