情绪、职业数量对不同职业生涯延迟满足大学生职业决策过程的影响

为探究情绪与职业数量对不同职业生涯延迟满足个体职业决策过程的可能潜在影响,分别对40名高、低职业生涯延迟满足倾向的大学生被试诱发正、负性情绪并完成信息板技术模拟的职业决策任务。结果显示:1)高延迟满足个体的搜索深度和搜索模式显著大于低延迟满足个体;2)不同延迟满足的个体在正性情绪或低职业数量条件下都表现出更好的搜索深度和搜索模式;3)在不同情绪及职业数量条件下,高延迟满足个体在不同职业属性间的搜索更多。职业生涯延迟满足倾向作为与未来规划密切联系的概念,揭示了个体职业生涯规划对其职业决策过程可能存在的影响。     

中学生学业倦怠状况及量表编制

通过对中学生学业倦怠的研究,编制了中学生学业倦怠量表,并分析了中学生学业倦怠状况。结果表明:学业倦怠包括情绪衰竭、去个性化、低成就感和行为不当4个维度;中学生存在较严重的学业倦怠。     

大学生自主学习量表的编制

在Zimmerman自主学习理论基础上,根据我国大学生学习的实际情况编制了大学生自主学习问卷,通过因素分析发现,其中学习动机分量表可以提取6个因子:学习自我效能感、内在目标、学习控制感、外在目标、学习意义感、学习焦虑,学习策略分量表可以提取6个因子:一般方法、学习求助、学习计划安排、学习总结、学习评价、学习管理。对问卷进行的信度、效度检验结果表明,该量表具有较好的信度、效度指标。     

高一学生的错题管理行为

在三次团体焦点访谈基础上自编高中生错题管理行为调查问卷,对内蒙古某中学110位高一学生被试的错题管理行为进行了调查。结果表明:(1)高一学生被试普遍认识到了错题对于学习的影响,从情感上不回避错题,但对错题的价值认识不足,尤其缺乏良好的错题管理的意识与系统的错题管理策略;(2)学优生在错题管理观念与态度上显著优于普通生;(3)学优生与普通生在错题管理行为与策略上不存在显著差异。在某些管理行为上,前者显著优于后者;在个别管理策略的使用上,后者却显著优于前者。     

Development of the Uni Virtual Clinic: an online programme for improving the mental health of university students

ABSTRACT

There is growing recognition of the importance of addressing the mental health needs of young people attending university. Anonymous, scalable, and evidence-based online interventions can help to reduce burden on university services and increase access to care for marginalised or disconnected students. This paper reports the participatory design methods used to develop the Uni Virtual Clinic (UVC), a comprehensive online programme that was designed to prevent and treat mental health problems and related issues in university students. Data evaluating the participatory design process is also presented. The potential for the implementation of the UVC within university-based counselling services is strong, and has potential to reduce the prevalence of mental disorders in a high-risk group of young people.     

Fertile women are more demanding: Ovulatory increases in minimum mate preference criteria across a wide range of characteristics and relationship contexts

The ovulatory shift hypothesis (Gangestad, Thornhill, & Garver-Apgar, 2005) makes three predictions. First, it posits that during peak fertility, women are more attracted to males who display characteristics of good genes. Secondly, it predicts that women predominantly experience ovulatory shifts when evaluating males as short-term sexual partners. Lastly, it predicts that ovulatory shifts should be non-existent when measuring mate preferences associated with long-term partner quality. However given that female preferences are formulated as a means to offset costs associated with reproduction (Buss, 1994) and such costs are more likely to be incurred during peak fertility, the current study (via the ovulatory reproductive safeguards hypothesis) posits that women during peak fertility should show a general increase in their mate preference criteria across a variety of characteristics and relationships. Using a within-subjects design and hormonal markers of fertility status, the present study investigates the degree to which ovulatory shifts in preferences are limited to short-term sexual liaisons and the degree to which such shifts are associated with characteristics related to long-term partner quality. Contrary to the ovulatory shift hypothesis (and in support of the ovulatory reproductive safeguards hypothesis), ovulatory shifts were found across a wide range of relationship contexts and preference characteristics.     

区域文化与区域刻板印象的心理学研究范式

区域刻板印象(regional stereotype)是一种涉及知觉者的关于某个地区人群群体的知识、观念与预期的认知结构。区域刻板化既是自然环境的产物,也是社会文化的产物,区域刻板化的形成既有心理因素,也有社会因素、个体因素。     

Statistical models for the induction and use of selectional preferences

Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach has surfaced in the computational linguistics community. This new line of research combines knowledge represented in a pre‐defined semantic class hierarchy with statistical tools including information theory, statistical modeling, and Bayesian inference. These tools are used to learn selectional preferences from examples in a corpus. Instead of simple sets of semantic classes, selectional preferences are viewed as probability distributions over various entities. We survey research that extends Resnik's initial work, discuss the strengths and weaknesses of each approach, and show how they together form a cohesive line of research.