人格判断的线索及其有效性

透镜模型强调线索的有效性是人格判断准确的重要条件。已有研究表明, 文字信息, 语音内容, 面孔图片, 反映不同情境的视频片段以及面对面交流涉及的言语、非言语信息在人格判断过程中发挥着重要作用。另一方面, 网络背景下常规的文字、视频信息等同样能够有效反映个体的人格特质, 而与人格特质密切相关的网络语言、表情的使用, 状态更新与点赞等特殊线索的有效性也值得深入探究。未来对人格判断线索的研究应加强现实生活情境以提高研究的生态效度, 考虑不同线索间的相互比较以考察线索有效性的适用条件, 深入探究网络情境中个体行为线索的有效性。     

唱音障碍的认知神经机制

唱音障碍是“五音不全”的一种表现形式。对唱音障碍的判定依赖于具体的评估方式、测试任务及测量指标。目前来看, 采用多任务、多指标以及相对标准是较为合理的办法。发生于歌唱过程(知觉、感觉运动转换、发声运动控制、记忆)中任一加工阶段的功能缺陷都可能导致唱音障碍, 但感觉运动转换缺陷被认为是唱音障碍的主要成因。最新的MMIA模型在内部模型的基础上描述了感觉运动转换缺陷的具体机制。未来研究一方面应进一步检验并完善当前的MMIA模型, 厘清唱音障碍的认知神经机制, 另一方面应利用现有成果为个体改善和提高自身的音准提供实质性的帮助。     

复杂决策规则下MIRT的分类准确性和分类一致性

介绍多维项目反应理论模型下分类准确性和分类一致性指标, 采用蒙特卡罗方法实现复杂决策规则下指标计算, 并从数学上证明分类准确性指标两类估计量在均匀先验和相同决策规则条件下依概率收敛于同一真值。研究结果表明：分类准确性指标可以比较准确地评价分类结果的准确性; 分类一致性指标可以较好地评价分类结果的重测一致性; 在一定条件下, 基于能力量尺的指标优于基于原始总分的指标; 纵使测验维度增加, 估计精度仍比较好; 随着测验长度和维度间相关增加, 分类准确性和分类一致性更高。指标可以用来评价标准参照测验或计算机分类测验的多种决策规则下分类信度和效度。     

分类精确性指数Entropy在潜剖面分析中的表现:一项蒙特卡罗模拟研究

本研究通过蒙特卡洛模拟考查了分类精确性指数Entropy及其变式受样本量、潜类别数目、类别距离和指标个数及其组合的影响情况。研究结果表明:(1)尽管Entropy值与分类精确性高相关,但其值随类别数、样本量和指标数的变化而变化,很难确定唯一的临界值;(2)其他条件不变的情况下,样本量越大,Entropy的值越小,分类精确性越差;(3)类别距离对分类精确性的影响具有跨样本量和跨类别数的一致性;(4)小样本(N=50~100)的情况下,指标数越多,Entropy的结果越好;(5)在各种条件下Entropy对分类错误率比其它变式更灵敏。     

Face in profile view reduces perceived facial expression intensity: An eye-tracking study

Recent studies measuring the facial expressions of emotion have focused primarily on the perception of frontal face images. As we frequently encounter expressive faces from different viewing angles, having a mechanism which allows invariant expression perception would be advantageous to our social interactions. Although a couple of studies have indicated comparable expression categorization accuracy across viewpoints, it is unknown how perceived expression intensity and associated gaze behaviour change across viewing angles. Differences could arise because diagnostic cues from local facial features for decoding expressions could vary with viewpoints. Here we manipulated orientation of faces (frontal, mid-profile, and profile view) displaying six common facial expressions of emotion, and measured participants' expression categorization accuracy, perceived expression intensity and associated gaze patterns. In comparison with frontal faces, profile faces slightly reduced identification rates for disgust and sad expressions, but significantly decreased perceived intensity for all tested expressions. Although quantitatively viewpoint had expression-specific influence on the proportion of fixations directed at local facial features, the qualitative gaze distribution within facial features (e.g., the eyes tended to attract the highest proportion of fixations, followed by the nose and then the mouth region) was independent of viewpoint and expression type. Our results suggest that the viewpoint-invariant facial expression processing is categorical perception, which could be linked to a viewpoint-invariant holistic gaze strategy for extracting expressive facial cues.     

Bias and Accuracy of Children's Perceptions of Peer Acceptance: Prospective Associations with Depressive Symptoms

Are depressive symptoms in middle childhood associated with more or less realistic social self-perceptions? At the beginning and end of the school year, children in grades 3 through 5 (n=667) rated how much they liked their classmates, predicted the acceptance ratings they would receive from each of their classmates, and completed self-report measures of perceived acceptance and depressive symptoms. Accuracy of perceived acceptance was indexed by the mean difference between pairs of predicted and received ratings (absolute values). Standardized residual scores created by regressing self-reported perceived acceptance (either predicted ratings or children's responses to a questionnaire measure of perceived peer acceptance) onto peer acceptance ratings formed two measures of bias. Bi-directional associations were found for accuracy of perceived acceptance and depressive symptoms; inaccurate perceptions predicted increases in depressive symptoms and depressive symptoms predicted decreased accuracy. Neither measure of bias predicted changes in depressive symptoms. Depressive symptoms predicted increases in negatively biased perceptions as assessed via questionnaire.