The Role of Stimulus Type and Semantic Category‐Level Attentional Set in Sustained Inattentional Blindness

Abstract: We examined the effect of the stimulus type and semantic categorization of the unexpected stimulus on sustained Inattentional Blindness (IB). Results showed that observers could establish attentional set based on a higher level of semantic categorization, which tuned one's attention to prioritizing semantic content over others. The unexpected stimulus, congruent with the attended objects in semantic categorization, was more likely to be noticed, whereas the incongruent semantic stimulus seemed to be unseen. Semantic category‐level attentional set played a crucial role in breaking through IB. The semantically congruent Chinese characters stimulus was detected and recognized more often than a semantically congruent picture stimulus, indicating that Chinese characters had more power to attract attention to escape sustained IB than pictures involved in visual processing. Presumably the finding of Chinese characters breaking through IB more easily might be due to the fact that Chinese characters look more distinct from pictures, rather than Chinese characters being processed more easily. Further research should be taken to test the semantic processing efficiency between pictures and Chinese characters in sustained IB.     

Examining the Process of Responding to Circumplex Scales of Interpersonal Values Items: Should Ideal Point Scoring Methods Be Considered?

The Circumplex Scales of Interpersonal Values (CSIV) is a 64-item self-report measure of goals from each octant of the interpersonal circumplex. We used item response theory methods to compare whether dominance models or ideal point models best described how people respond to CSIV items. Specifically, we fit a polytomous dominance model called the generalized partial credit model and an ideal point model of similar complexity called the generalized graded unfolding model to the responses of 1,893 college students. The results of both graphical comparisons of item characteristic curves and statistical comparisons of model fit suggested that an ideal point model best describes the process of responding to CSIV items. The different models produced different rank orderings of high-scoring respondents, but overall the models did not differ in their prediction of criterion variables (agentic and communal interpersonal traits and implicit motives).     

国内中介效应的方法学研究

中介效应可以分析自变量对因变量的影响过程和作用机制, 已成为分析多个变量之间关系的一种重要统计方法。最近20年, 中介效应成了研究方法的一个热点。从中介效应的检验方法、效应量、类别变量的中介效应检验、纵向数据的中介效应检验和模型拓展(包括多重中介、多层中介、有调节的中介和有中介的调节模型)五个方面系统总结了国内中介效应的方法学研究的发展历程。最后对中介效应的国外方法学研究进展和中介效应的未来研究方向做了讨论和拓展。     

描述信息与经验不一致对个体风险选择的影响：决策模型的拟合

采用描述−经验冲突范式,考察损益情境下,描述信息与经验不一致对个体风险选择的影响,通过模型拟合探究其内在机制。研究1a和研究1b采用单因素被试间设计,自变量为描述信息与经验不一致程度,因变量为风险选项选择率。结果发现,获益情境中,描述信息与经验不一致程度的主效应不显著;而损失情境中,风险选项选择率受到显著影响。研究2比较决策模型参数发现,获益情境中,描述信息权重参数ξ和选择一致性参数c显著小于损失情境,而近因参数φ显著大于损失情境。这表明,当描述信息与经验不一致时,相对于获益情境,损失情境下个体更大程度地采用描述信息进行决策。研究揭示了损益情境中描述信息与经验不一致影响个体风险选择的机制。     

情绪效价−空间动作隐喻联结对成人和儿童外语情绪词学习的影响

为探究情绪效价与空间动作的隐喻联结如何影响中国成人及学龄前和学龄初期儿童对外语情绪词的学习,要求被试在学习阶段根据情绪效价将新学习的实体外语词卡放在对应空间位置。测试阶段采用二选一迫选任务,记录新词学习的反应时和正确率。结果显示,无论是成人组还是儿童组被试,隐喻一致组在测试阶段中对所学外语词的再认反应时均快于隐喻不一致组和控制组。研究表明,成人和学龄前和学龄初期儿童均存在情绪效价–空间动作隐喻联结的心理表征,并且该联结可以影响成人及学龄前和学龄初期儿童外语情绪词学习效果。     

语义关联性对重复知盲效应的影响：来自汉语成语的证据

重复知盲是在快速系列视觉呈现任务中对第二个重复刺激的加工缺陷。以汉语中反义字和成语为实验材料,采用全部报告任务,探讨刺激的语义关联性对重复知盲的影响。实验1以汉语单字为材料,采用单因素三水平（目标刺激之间的语义关系：无关、相同、相反）被试内设计,结果是重复字产生重复知盲效应,反义字产生语义启动效应。实验2以成语为材料,采用2（目标刺激之间的语义关系：相同、无关）×2（位置：前位置、后位置）设计,结果是语义关联性消解了重复知盲效应。结果表明：（1）反义字不产生重复知盲效应。（2）语义关联性消解成语中重复字的重复知盲效应。（3）实验结果支持竞争假设。     

1989年～2008年中国卫生人力资源配置的公平性评价

资源分配的公平性是卫生事业发展普遍关注的重要命题.基于基尼系数和洛伦兹曲线的变化评价了过去20年我国卫生人力配置公平性的变动情况,得出中国卫生人力分布公平性正逐年优化,但受经济发展不均影响仍待改善.今后应吸引和鼓励高质童的卫生人力向经济不发达地区转移,并增大对不发达地区的资金支持.     

达比加群酯在抗凝治疗中的研究进展

新型口服抗凝药达比加群酯具有强效抗凝、出血风险低、无需特殊监测、药物相互作用少等优点,能显著降低卒中和栓塞性疾病的风险,同时显著降低出血事件的发生和血管性死亡率。它的问世是抗凝治疗领域和潜在致死性血栓预防领域的一项重大进展。     

新闻学领域的道德困境及其解读

大众传媒及其工作者在新闻实践中经常面临着道德价值选择冲突问题,需要我们在伦理的反思批判中逐渐达成共识。通过对新闻学领域内较为常见的客观报道与人文关怀的冲突、隐性采访与社会正义的冲突、舆论自由与独立审判的冲突进行解读,或许能为大众传媒及其工作者的道德价值选择提供道德依据和价值基础,从而为化解此类困境提供一定的理论思路。     

Bayesian estimation of semiparametric nonlinear dynamic factor analysis models using the Dirichlet process prior

Parameters in time series and other dynamic models often show complex range restrictions and their distributions may deviate substantially from multivariate normal or other standard parametric distributions. We use the truncated Dirichlet process (DP) as a non‐parametric prior for such dynamic parameters in a novel nonlinear Bayesian dynamic factor analysis model. This is equivalent to specifying the prior distribution to be a mixture distribution composed of an unknown number of discrete point masses (or clusters). The stick‐breaking prior and the blocked Gibbs sampler are used to enable efficient simulation of posterior samples. Using a series of empirical and simulation examples, we illustrate the flexibility of the proposed approach in approximating distributions of very diverse shapes.