Personality and behavioral outcomes associated with risk-taking are accurately inferred from faces

Growing evidence suggests that people are able to accurately infer some personality traits and behavioral outcomes from facial photographs. However, little research has examined whether people are able to accurately infer personality traits or behavioral outcomes associated with risk-taking. In this study, we examined whether people were able to accurately infer, on average, others’ personality traits associated with risk-taking from facial photographs. We further examined whether such first impressions were associated with relevant and important behavioral outcomes—specifically, future discounting and gambling and problem gambling tendencies. Results suggest that people are able to accurately infer, on average, some personality traits and behavioral outcomes associated with risk-taking from faces.     

Building to discover: a common coding model

I present a case study of scientific discovery, where building two functional and behavioral approximations of neurons, one physical and the other computational, led to conceptual and implementation breakthroughs in a neural engineering laboratory. Such building of external systems that mimic target phenomena, and the use of these external systems to generate novel concepts and control structures, is a standard strategy in the new engineering sciences. I develop a model of the cognitive mechanism that connects such built external systems with internal models, and I examine how new discoveries, and consensus on discoveries, could arise from this external-internal coupling and the building process. The model is based on the emerging framework of common coding, which proposes a shared representation in the brain between the execution, perception, and imagination of movement.     

How self-evaluations relate to being liked by others: integrating sociometer and attachment perspectives

What is the relation between self-evaluation and being liked by others? Does being liked by others lead to more positive self-evaluations (as in sociometer theory), or do positive self-evaluations lead to being liked more (self-broadcasting)? Furthermore, what might affect the extent to which self-evaluations are influenced by likability (and vice versa)? The purpose of the present study was twofold. First, it used a naturalistic design to test the direction of the effect between social self-evaluations and others' judgments of likability in real relationships. Second, it examined how individual differences in attachment avoidance and anxiety relate to self-evaluations and likability and whether attachment differences moderate the relation between the two. Social self-evaluations, actual interpersonal liking, and attachment were assessed in participants taking part in a longitudinal group study. The findings supported the sociometer theory: Being liked by others led to more positive self-evaluations. Both anxious and avoidant attachment predicted lower self-evaluations, and anxious attachment predicted stronger reactions to others' liking (i.e., potentiated the sociometer). These findings have several implications for research on self-evaluation, adult attachment theory, and the importance of integrating interpersonal processes and individual differences.     

Screening detoxifying inpatients with substance-related disorders for a major depressive disorder

The Beck Depression Inventory-Fast Screen for Medical Settings (BDI-FS; [Beck, Steer, & Brown, 2000]) and the Mood Module (MM) from the Primary Care Evaluation of Mental Disorders [Spitzer, Williams, Kroenke, Linzer, deGruy, III, Hahn, & Brody, 1995] were used to screen 100 inpatients detoxifying from alcohol, illicit substances, or both for a major depressive disorder (MDD). Receiver operating characteristic (ROC) analyses indicated that both tests were highly and comparably effective in differentiating patients who were and not diagnosed with a MDD; the ROC areas-under-curves for the BDI-FS and MM were, respectively, .87 and .84. A BDI-FS cut-off score of 10 and above had 90% sensitivity and 78% specificity rates, and a MM cut-off score of 7 and above had 90% sensitivity and 72% specificity rates for discriminating patients with and without a MDD. The clinical advantages and disadvantages of both instruments for rapidly screening detoxifying inpatients for clinical depression were discussed.     

A Monte Carlo investigation of conjoint analysis index-of-fit: Goodness of fit,significance and power

Researchers in the field of conjoint analysis know the index-of-fit values worsen as the judgmental error of evaluation increases. This simulation study provides guidelines on the goodness of fit based on distribution of index-of-fit for different conjoint analysis designs. The study design included the following factors: number of profiles, number of attributes, algorithm used and judgmental model used. Critical values are provided for deciding the statistical significance of conjoint analysis results. Using these cumulative distributions, the power of the test used to reject the null hypothesis of random ranking is calculated. The test is found to be quite powerful except for the case of very small residual degrees of freedom.The authors thank the editor, the three reviewers and Ellen Foxman for helpful comments on the paper. Sanjay Mishra was a doctoral student at Washington State University at the time this research was completed. He is currently in the Department of Marketing at the University of Kansas.     

Development of personality in early and middle adulthood: set like plaster or persistent change?

Different theories make different predictions about how mean levels of personality traits change in adulthood. The biological view of the Five-factor theory proposes the plaster hypothesis: All personality traits stop changing by age 30. In contrast, contextualist perspectives propose that changes should be more varied and should persist throughout adulthood. This study compared these perspectives in a large (N = 132,515) sample of adults aged 21-60 who completed a Big Five personality measure on the Internet. Conscientiousness and Agreeableness increased throughout early and middle adulthood at varying rates; Neuroticism declined among women but did not change among men. The variety in patterns of change suggests that the Big Five traits are complex phenomena subject to a variety of developmental influences.     

Correction to: Is Ultimate Attribution Error Universal? Inter-group Attribution for Success and Failure among University Students in Delhi

In the abstract, the sixth line should read as “Results indicated that both General Caste category and Scheduled Caste category participants showed no inter-group attribution bias.