Comparing hierarchical models of personality pathology

Two dimensional, hierarchical classification models of personality pathology have emerged as alternatives to traditional categorical systems: multi-tiered models with increasing numbers of factors and models that distinguish between a general factor of severity and specific factors reflecting style. Using a large sample (N = 840) with a range of psychopathology, we conducted exploratory factor analyses of individual personality disorder criteria to evaluate the validity of these conceptual structures. We estimated an oblique, “unfolding” hierarchy and a bifactor model, then examined correlations between these and multi-method functioning measures to enrich interpretation. Four-factor solutions for each model, reflecting rotations of each other, fit well and equivalently. The resulting structures are consistent with previous empirical work and provide support for each theoretical model.     

The interactive effect of neuroticism and extraversion on the daily variability of affective states

The interaction between neuroticism and extraversion is thought to predict affective variability. In this study, neuroticism and extraversion were assessed with questionnaires, and affects were measured by experience sampling, with five daily assessments over 2 weeks. Affective variability was studied within a three-dimensional affective space whose three axes were oriented along the main affective dimensions: positive affect, negative affect, and activation. Quantile regression mixed-effects models allowed predicting zones in which affective states were most likely to occur according to personality. Beyond the well-known effect of personality on affect level, high neuroticism and/or high extraversion were accompanied by heightened affective variability. Results were interpreted as potentially reflecting positive feedback loops oriented toward negative affect for neuroticism, and toward positive affect and activation for extraversion.     

Superstitious beliefs and the associative mind

Persistence of superstitions in the modern era could be justified by considering them as a by-product of the brain’s capacity to detect associations and make assumptions about cause-effect relationships. This ability, which supports predictive behaviour, directly relates to associative learning. We tested whether variability in superstitious behaviour reflects individual variability in the efficiency of mechanisms akin to habit learning. Forty-eight individuals performed a Serial Reaction Time Task (SRTT) or an Implicit Cuing Task (ICT). In the SRTT, participants were exposed to a hidden sequence and progressively learnt to optimize responses, a process akin to skill learning. In the ICT participants met with a hidden association, which (if detected) provided a benefit (cf. habit learning). An index of superstitious beliefs was also collected. A correlation emerged between susceptibility to personal superstitions and performance at the ICT only. This novel finding is discussed in view of current ideas on how superstitions are instated.     

Predicting the Personal Appeal of Marketing Images Using Computational Methods

Images play a central role in digital marketing. They attract attention, trigger emotions, and shape consumers’ first impressions of products and brands. We propose that the shift from one‐to‐many mass communication to highly personalized one‐to‐one communication requires an understanding of image appeal at a personal level. Instead of asking “How appealing is this image?” we ask “How appealing is this image to this particular consumer?” Using the well‐established five‐factor model of personality, we apply machine learning algorithms to predict an image's personality appeal—the personality of consumers to which the image appeals most—from a set of 89 automatically extracted image features (Study 1). We subsequently apply the same algorithm on new images to predict consequential outcomes from the fit between consumer and image personality. We show that image‐person fit adds incremental predictive power over the images’ general appeal when predicting (a) consumers’ liking of new images (Study 2) and (b) consumers’ attitudes and purchase intentions (Study 3).     

Towards learning agents with personality traits: Modeling Openness to Experience

Recent advances in neurosciences and cognitive sciences show us that the human neocortex is not a slave to the experiences from our perception and that the memories stored in hippocampus are goal weighted during the replay of the experiences for the purpose of re-learning from them. Temporal difference reinforcement learning systems that use neural networks as function approximators rely on an experience replay memory structure similar to the hippocampus. We bring forward this similarity and present a novel way of using a goal weighted prioritization of the memory that is biologically inspired. Furthermore, we introduce a novel prioritization criteria called Variety of Experience Index, or VEI, for weighting the selection of the experiences that are stored in the replay memory. Weighting the experiences based on two different extremes of VEI can behaviourally modify the agent’s learning process, generating different types of learning agents that exhibit different personality traits along the dimension of Openness to Experience.     

手机短信与大学生人格特征关系的研究

采用自编式手机短信（SMS）问卷及NEO—PI—R人格测试,以280名大学生为研究对象,该研究考察了SMS使用情况与大学生人格特征的关系。结果表明：（1）神经质与使用SMS的担心时间、幻觉经验、作息时间有显著负相关,与SMS对交往的影响呈显著的正相关;（2）外倾性与SMS使用数量和作息时间显著正相关;（3）宜人性与SMS使用时间有显著负相关,而与SMS比例呈显著正相关;（4）认真性与总费比例有显著负相关,与幻觉经验和作息时间存在显著正相关。     

中国大学生艾森克人格问卷测试因素结构之探讨

本文旨在检验艾森克人格理论对中国人的适合性,探明艾森克人格问卷(成人)的结构。经对2311名大学生艾森克人格问卷的作答数据做验证性因素分析,艾森克人格理论未能得到证明。使用全息项目因素分析方法对EPQ进行因素分析,得出神经质、外向性、友善因素、诚实因素、任性因素和严谨因素六个因素。该方法较好地克服了经典线性因素分析高估维度数。低估因素负荷等缺陷。     

从青少年学生的评价看教师的人格结构

本研究以班为单位,要求1594名大、中、小学生采用《青少年学生评价教师人格特质形容词捡核表》对自己理想中的教师人格特质进行评定,结果显示学生们对教师人格特质的评价维度是：高尚／进取、慈爱/公正、客观／求真、外向／开朗、退缩/粗暴、内向／怪异、损人俐己,前四个维度是学生们喜欢的,后三个维度是学生们不喜欢的。学生们对教师人格的评价存在着年龄、性别和学科上的差异。     

The role of personality and learning experiences in social cognitive career theory

We sought to extend the empirical literature on Social Cognitive Career Theory (SCCT) by testing (a) the posited indirect effect of personality on interests through learning experiences and sociocognitive mechanisms, and (b) hypotheses that self-efficacy percepts and outcome expectations derive from corresponding career-relevant learning experiences. Participants (327 college students) completed a measure of the Big Five personality factors and measures of learning experiences, self-efficacy, outcome expectations, and interests corresponding to each of Holland’s (1997) six RIASEC themes. Results of path analyses indicated that personality’s relation to interests was mediated via learning experiences and sociocognitive mechanisms; however, the extent of that mediation varied considerably across the different personality-interest relations. Findings also indicated strong support, across Holland themes, for SCCT’s hypothesized relations of learning experiences to self-efficacy and outcome expectations; however, for five of the six Holland themes, the relation between learning experiences and outcome expectations was at least partially mediated through self-efficacy.     

Personality, anxiety and functional dysphonia

Psychological factors are considered for the predisposition and perpetuation of functional dysphonia. In the present study 61 patients with functional dysphonia were compared with 61 healthy controls, matched by age, sex, and occupation with respect to Cloninger’s personality model, mood, and anxiety.The patients with functional dysphonia presented significantly higher scores than the healthy controls with respect to “harm avoidance” (HA); depressive symptoms; symptoms of unspecific and general anxiety; symptoms of specific anxiety concerning “health”, “illness”, and “extraversion versus introversion”. No significant differences were found in “novelty seeking” (NS), “reward dependence” (RD), “persistence” (PE), or in state-anxiety and anxiety of social situations. These results were found considering univariate and multivariate analyses and confirm the relationship of psychological factors such as personality traits, mood, and anxiety on one hand and conversion disorder in general and functional dysphonia in particular on the other hand. This important relationship should be considered in the diagnostic and therapeutic interventions of functional dysphonia.