Maternal Depressive Symptoms Predict Girls’ but Not Boys’ Emotion Regulation: A Prospective Moment-to-Moment Observation Study

Research on Child and Adolescent Psychopathology - We aimed to further the understanding of maternal depressive symptoms on temporal dynamics of child emotion regulation by applying the process...     

Word Order Predicts Cross-Linguistic Differences in the Production of Redundant Color and Number Modifiers

When asked to identify objects having unique shapes and colors among other objects, English speakers often produce redundant color modifiers (“the red circle”) while Spanish speakers produce them less often (“el circulo (rojo)”). This cross-linguistic difference has been attributed to a difference in word order between the two languages, under the incremental efficiency hypothesis (Rubio-Fernández, Mollica, & Jara-Ettinger, 2020). However, previous studies leave open the possibility that broad language differences between English and Spanish may explain this cross-linguistic difference such that English speakers may generally produce more modifiers than Spanish speakers, including redundant ones, irrespective of word order. Here, we test the incremental efficiency hypothesis in a language production task crossing language (English, Spanish) with modifier type (color, number). Critically, number words occur on the same side of the noun in both English and Spanish. If broad language differences are responsible for the higher rate of color word production in English compared to Spanish, then the same effect should hold for number words. In contrast, the incremental efficiency hypothesis predicts an interaction between language and modifier type, due to different ordering for color words but identical ordering for number words. Our pre-registered analyses offer strong support for the incremental efficiency hypothesis, demonstrating how seemingly small differences in language can cause us to describe the world in surprisingly different ways.     

激活水平和呈现方式对错误记忆的影响

随机抽取80名大学生参与实验,采用DRM(Deese-Roediger-Mcdermott)范式,探讨了激活水平和呈现方式对错误记忆的影响。结果发现:(1)在随机呈现条件下,关键诱饵的错误再认率显著低于分组呈现条件,但学过项目的正确再认率在两种条件下无差异。(2)在高激活水平条件下,学过项目的正确再认率明显低于低激活水平条件,但关键诱饵的错误再认率在两种激活条件下的差异不够明显。这表明,呈现方式对关键诱饵的错误再认率有显著影响,而激活水平的影响则不显著。由此可知,人们的记忆可以在没有任何外界信息干扰的情况下因内在联想过程而自发地发生改变。     

SC-IAT范式下中学生良心的内隐性

目的:研究探讨了单类内隐联想测验(Single Category Implicit Association Test,SC-IAT)测量中学生良心的可行性,并分析内隐良心和外显良心的关系。方法:采用E-prime3.0软件编制SC-IAT良心测量程序,测量了中学生内隐良心; 采用青少年良心问卷测量了中学生的外显良心,并运用相关技术分析两者之间的关系。结果:SC-IAT实验中,中学生良心的内隐效应显著,且不存在性别、独生与否、学段、家庭结构、家庭所在地等人口统计学指标上的显著差异; 内隐良心与外显良心之间的相关不显著。结论:(1)中学生良心存在积极内隐效应;(2)外显良心和内隐良心相互分离,是两个不同的建构。     

Correlations between Dual-Pathway White Matter Alterations and Language Impairment in Patients with Aphasia: A Systematic Review and Meta-analysis

Neuropsychology Review - While converging evidence suggests linguistic roles of white matter tracts, detailed associations between white matter alterations of dual pathways and language abilities...     

Family Socioeconomic Status and Executive Function in Urban Chinese Children: The Effects of Cortisol Reactivity

Journal of Child and Family Studies - We examined hypothalamic–pituitary–adrenal stress reactivity as an indicator of differential susceptibility in moderating the links between family...     

情感计算技术如何推动犯罪风险评估工具的发展？

摘 要 随着近年来人工智能深度学习技术的发展,情感计算与人格计算技术日渐成熟,在许多实际应用场景中取得了良好的表现,当前人工智能情感计算技术应用于犯罪风险评估领域,能够有效解决目前主流的风险评估工具难以解决的个体内差异性的预测因子评估问题以及被测评参与者因社会赞许性而导致结果失真的问题。本文在详细阐述目前主流评估工具的局限性基础上,详细阐述了以情感计算技术为支撑的动态风险评估工具的设计思路、目前已有的技术方案以及设计细节的理论依据,在此基础上最后提出以人工智能技术为支撑的新型评估工具的未来发展方向。     

四周简易正念减压训练对初中生焦虑的影响

选取68名初一学生并以班级为单位分为四周正念减压(mindfulness-based stress reduction,MBSR)训练组和对照组,探讨四周MBSR对初中生焦虑和正念水平的影响,以及训练效果是否存在基线效应与性别差异。结果发现:(1)四周MBSR可以提高初中生的正念水平,缓解其焦虑情况;(2)“不判断”和“特质焦虑”基线水平影响正念训练的效果;(3)四周MBSR对初中生的训练效果不存在性别差异。     

这不是我想象中的工作！不合规任务对新员工工作投入的影响

本研究基于情绪的认知评价理论,探讨了不合规任务对新员工工作投入的动态影响机制。通过收集分析71名新员工连续5个工作日的追踪数据发现,不合规任务会诱发新员工的不愉快情绪,进而影响其工作投入,工作成长观能够有效缓冲这一负面影响。以上结论拓宽了不合规任务的影响后果,并为如何干预不合规任务给新员工带来的消极影响提供了启示。