Possible olfaction-based mechanisms in human kin recognition and inbreeding avoidance

Three studies explored kin recognition through olfaction. In Study I, adults (N=22) were tested for ability to identify the odors of themselves; their mother; their father; a sister; a brother; a familiar, unrelated individual; and a stranger. Acquaintances were identified as accurately as biological kin, implicating an association mechanism. However, biological kin were often confused, implicating phenotypic matching. Same-sex kin were confused more than opposite-sex kin, but mainly when same-sex kin had odors of similar intensity. Study II implicated phenotypic matching. Mothers (N=18) could identify their biological children but not their stepchildren. The preadolescent children (N=37) identified their full siblings but not half-siblings or stepsiblings. Thus, olfactory cues may help mediate favoritism of blood relatives. In Study III, mutual olfactory aversion occurred only in the father-daughter and brother-sister nuclear family relationships. Recognition occurred between opposite-sex siblings but not same-sex siblings. Thus, olfaction may help mediate the development of incest avoidance during childhood (the Westermarck effect).     

Person-oriented profiles of originality and fluency in divergent thinking responses

Researchers often use divergent thinking tasks to assess creative potential and find a positive inter-individual relation between fluency and originality. But are there different within-person patterns of originality and fluency? Study 1: undergraduates completed an alternate uses task and the NEO-FFI. Three profiles emerged: (1) low originality and fluency; (2) above average originality, moderate fluency; and (3) average originality, high fluency. Study 2: high school students completed a divergent thinking task and 10 facets of the IPIP NEO-PI. Four profiles emerged: (1) average originality, moderate fluency; (2) above average originality, high fluency; (3) low originality and fluency; and (4) high originality, low fluency. Profile differences in personality and maximum originality, and implications of these findings are discussed.     

潜在剖面分析在组织行为领域中的应用

以个体为中心的研究路径将各个变量看作是相互依赖的一个系统, 基于多项特征(变量)将被试分为多个子群体, 分析子群体的前因与影响。以个体为中心的研究路径理解更加直观、更贴近实践, 受到越来越多的关注。潜在剖面分析(latent profile analysis, LPA)是以个体为中心研究路径的典型分析技术。在总结归纳以个体与以变量为中心两种研究路径异同、LPA与传统以个体为中心的分析技术差异后, 系统梳理了LPA在组织行为学领域的应用主题, 并从研究主题选取、样本要求、理论使用、剖面数量确定等方面归纳了LPA应用的步骤与注意事项。最后, 提出了未来研究的方向。     

Profiles of psychological well‐being in a sample of Australian university students

The present study identified psychological well‐being profiles in a sample of Australian university students (N = 207, Mean age = 30.16 years; SD = 11.90). Respondents completed two measures: Ryff's (1989) Psychological Well‐Being (PWB) scale and Lovibond and Lovibond's (2002) Depression, Anxiety and Stress Scales‐21 (DASS‐21) assessing their levels of PWB and depression. Latent profile analysis was applied to six indices of positive functioning derived from PWB scale: self‐acceptance, purpose in life, environmental mastery, positive relations with others, personal growth and autonomy. An optimal 5‐profile solution, reflecting significant incremental shifts from very low to very high PWB, was interpreted. As predicted, profile membership distinguished participants on depression. Importantly, profiles indicating moderate to very high PWB, particularly with the presence of above average autonomy, reported significantly lower levels of depression. Our results suggest prevention of, and treatment efficacy for, mental health problems may be improved by incorporating strategies that address positive functioning attributes, particularly associated with a sense of autonomy.     

Cyber-bullying: An investigation of the psychological profile of university student participants

The present study investigated the psychological profile of 430 Greek university students who reported cyber-bullying/victimization experiences. Participants completed a self-report questionnaire, measuring cyber-bullying, cyber-victimization, Internet frequency and use, personality characteristics, and psychological symptoms. Results indicated that 58.4% of the sample had participated in a cyber-bullying incident assuming any role. Cyber bully/victims, the most common participant role, endorsed more psychological symptoms, more psychopathic traits, and were high sensation seekers, compared to the rest of the groups, whereas cyber-victims scored higher on empathy. Cyber-bullying was predicted by callous/unemotional and impulsive/irresponsible traits, depression, Internet use, as well as lack of social skills. The latter four variables also predicted cyber-victimization along with gender. Findings are discussed in terms of prevention and intervention strategies.     

A latent profile analysis of attributions for poverty: Identifying response patterns underlying people’s willingness to help the poor

Attribution theory posits that poverty beliefs vary along the causal properties of locus, stability, personal control, and other control. The current paper extends this framework by using a latent profile analysis to identify the unique response patterns (latent profiles) that underlie these beliefs. Results indicated that participants (N = 315) displayed one of three attributional profiles: Blaming (high internal locus; moderate stability; high personal control; high other control), Caring (low internal locus; moderate stability; low personal control; high other control), or Ambivalent (moderate across causal properties). Subsequent analyses showed that levels of conservatism and system justification positively correlated with membership in the Blaming (vs. Caring) profile. In turn, belonging in the Blaming (vs. Caring) profile predicted more anger, less sympathy, and less support for the poor. These findings advance attribution theory by taking a person-centered perspective and demonstrating that three distinct response patterns underlie individual differences in people’s poverty beliefs.     

Characterising the Personality of the Public Safety Offender and Non‐offender using Decision Trees: The Case of Colombia

The aim of this paper was to create a decision tree (DT) to identify personality profiles of offenders against public safety. A technique meeting this requirement was proposed that uses the C4.5 algorithm to derive decision rules for personality profiling of public safety offenders. The Mini‐Mult test was used to measure the personality profiles of 238 individuals. With the test results as our database, a C4.5 DT was applied to construct rules that classify each profile into one of two groups, those without and those with records of offences against public safety. The model correctly classified 80% of the personality profiles and delivered a set of decision rules for distinguishing the profiles by group, and the principal personality profiles were interpreted. We conclude that DTs are a promising technique for analysing personality profiles by their offender or non‐offender status. Finally, we believe that the development of a classifying model using DT may have practical applications in the Colombian prison system. Copyright © 2016 John Wiley & Sons, Ltd.     

团队决策中的共享信息偏差:基于隐藏文档范式的机制、影响因素探究

在决策任务中,团队由于拥有来自不同成员的多样信息,因此通常被认为能够较个体做出更高质量的决策。但大量的研究结果表明,团队对于信息的利用并非十分有效,表现在团队会更多地讨论所有成员都拥有的信息(即共享信息),而相对忽视了每个成员所独有的信息(即非共享信息),这种现象被称为"共享信息偏差(Shared information bias)"(StasserTitus,1985)。共享信息偏差的存在阻碍了团队获取更高质量的决策结果。本文基于隐藏文档范式,针对共享信息偏差的产生原因,分别介绍了信息取样模型、动态信息取样模型、相互提升效应、偏好效应这4种解释机制,并归纳总结了信息分布、团队任务特征、成员特征及动机因素这4类影响因素的作用。最后,从结合团队认知、探究情绪因素及整合团队有效性框架这三个方面对未来的研究进行了展望。     

Examining profiles of the big five and sensation seeking among competitive climbers

The present study sought to identify distinct personality profiles in competitive climbers (N = 331, Mean age = 29.85, SD = 10.92), and also sought to explore whether these climbers differed in their sensation seeking tendencies based on these personality profiles. Employing a cross-sectional design, participants completed measures of the big five personality dimensions (agreeableness; conscientiousness; extraversion; neuroticism; openness to experience) and sensation seeking (boredom susceptibility; experience seeking; disinhibition; thrill and adventure seeking). Latent profile analysis identified four distinct big five personality profiles (Curious and Impulsive; Emotionally Unstable; Healthy; and Measured and Compliant). MANCOVA and follow-up ANCOVAs demonstrated significant differences between the four personality profiles in relation to thrill and adventure seeking, experience seeking, and disinhibition. The findings suggest that the identification of distinct personality profiles using a person-centred approach is a useful way of distinguishing and optimizing typical behaviors and preferences in adventure sports in the future.