Scholars within the Berlin paradigm have analysed participants' responses to a hypothetical vignette about a friend's suicide ideation. However, no study has yet focused on participants' emotional reactions to this scenario, an important aspect of wisdom performance. We conducted a Thin‐Slice Wisdom study where participants were asked to give advice to a hypothetical friend contemplating suicide. We analysed their emotional profiles using facial expression analysis software (FACET2.1 and FACEREADER7.1). Participants' verbal responses were also transcribed and then scored by 10 raters using the Berlin criteria. Results revealed that the sadder the participants felt, the wiser their performance. Wiser participants may have been better at exploring this sad, but true, existential human dilemma. 相似文献
Traditional mediation analysis assumes that a study population is homogeneous and the mediation effect is constant over time, which may not hold in some applications. Motivated by smoking cessation data, we propose a latent class dynamic mediation model that explicitly accounts for the fact that the study population may consist of different subgroups and the mediation effect may vary over time. We use a proportional odds model to accommodate the subject heterogeneities and identify latent subgroups. Conditional on the subgroups, we employ a Bayesian hierarchical nonparametric time-varying coefficient model to capture the time-varying mediation process, while allowing each subgroup to have its individual dynamic mediation process. A simulation study shows that the proposed method has good performance in estimating the mediation effect. We illustrate the proposed methodology by applying it to analyze smoking cessation data.
Previous research on self-objectification mainly focuses on its influences on intrapersonal psychological distress whereas our study examined whether self-objectification would influence interpersonal distress (i.e., loneliness) and its corresponding mechanisms in a sample of American women and men recruited with MTurk. Participants’ self-objectification was indexed by their level of body surveillance, and we proposed that body surveillance would increase women’s and men’s tendency to experience shame about their body and decrease their general self-esteem, which would in turn predict their level of loneliness. A total of 373 Americans (235 women; Mdnage?=?33 years-old, range?=?18–77) participated in the present study, and the results provided support for the proposed theoretical model. Specifically, we found that body surveillance positively predicted people’s body shame, and body shame negatively predicted self-esteem, which in turn predicted people’s loneliness. Moreover, this mediational model was not different between men and women. These results expand the scope of investigation by incorporating male samples, and they suggest that in addition to intrapersonal consequences, self-objectification can also influence people’s interpersonal well-being. Implications were discussed.
Four thousand eight hundred and eleven students were sampled from 26 universities in 21 cities of China and evaluated using the Personality Diagnostic Questionnaire-4+(PDQ-4+). Results showed that male students obtained significantly higher scores than female students on paranoid, schizotypal, antisocial, narcissistic, passive-aggressive, and depressive personality disorder scales, and lower scores on the borderline scale. Students from rural areas scored higher than those from urban areas on the schizoid, schizotypal, narcissistic, avoidant, compulsive-obsessive, passive-aggressive, and depressive personality disorder scales, and lower on the paranoid and dependent scales. Singleton students obtained significantly higher scores than nonsingletons on paranoid, antisocial and dependent scales, and lower on schizoid, avoidant, compulsive-obsessive, passive-aggressive, depressive scales. Students from single-parent families scored significantly higher on the schizotypal scales; and students from foster families scored significantly higher on the antisocial, passive-aggressive, and depressive scales. Students from poor families scored significantly higher than those from average or wealthy families on schizoid, schizotyal, antisocial, borderline, narcissistic, avoidant, obsessive-compulsive, passive-aggressive, and depressive personality disorders. The results suggest that low family income, low social status, and parental style contribute to the development of personality disorders. 相似文献
