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On the Temperatures Reliance from the Piezoelectric Reaction associated with Prepoled Poly(vinylidene fluoride) Movies.
[This corrects the article DOI 10.3389/fpsyg.2019.01389.]. Copyright © 2020 Melzer, Shafir and Tsachor.This investigation examined how people's beliefs about the functionality of emotion shape their emotional response and regulatory strategies when encountering distressing events. 4Hydroxytamoxifen In Study 1, we present data supporting the reliability and validity of an 8-item instrument, the Help and Hinder Theories about Emotion Measure (HHTEM), designed to assess an individual's beliefs about the functionality of emotion. Participants who more strongly endorsed a Help Theory reported greater wellbeing, emotional acceptance, and use of reappraisal to regulate emotion. Participants who more strongly endorsed a Hinder Theory reported less wellbeing and more expressive suppression and substance use. In Study 2, we demonstrate that encouraging participants to view emotion as helpful affected their physiological and regulatory response to a distressing event. Participants in the Help Theory condition showed greater physiological reactivity (SCL) during a distressing film than control participants but were more accepting of their emotional response. Shortly after the film, SCL decreased for participants in the Help Theory condition. Compared to control participants, they engaged in less suppression and reported less lingering effect of the film on their mood. Together, these studies suggest that people's theories about the functionality of emotion influence their reactivity, the strategies they adopt to regulate emotion, and their ability to rebound after distressing events. Copyright © 2020 Karnaze and Levine.Likert scale surveys are frequently used in cross-cultural studies on leadership. Recent publications using digital text algorithms raise doubt about the source of variation in statistics from such studies to the extent that they are semantically driven. The Semantic Theory of Survey Response (STSR) predicts that in the case of semantically determined answers, the response patterns may also be predictable across languages. The Multifactor Leadership Questionnaire (MLQ) was applied to 11 different ethnic samples in English, Norwegian, German, Urdu and Chinese. Semantic algorithms predicted responses significantly across all conditions, although to varying degree. Comparisons of Norwegian, German, Urdu and Chinese samples in native versus English language versions suggest that observed differences are not culturally dependent but caused by different translations and understanding. The maximum variance attributable to culture was a 5% unique overlap of variation in the two Chinese samples. These findings question the capability of traditional surveys to detect cultural differences. It also indicates that cross-cultural leadership research may risk lack of practical relevance. Copyright © 2020 Arnulf and Larsen.Emotional tears are uniquely human and play an essential role in the communication of distress in adults. Several studies have shown that individuals are more willing to offer emotional support and help a person in tears. Preliminary evidence suggests that this greater willingness to provide support is mediated via perceived warmth and helplessness. Moreover, tearful individuals are regarded as more reliable and honest. In the current study, we examined whether people can reliably distinguish genuine and fake crying, and what the consequences for the further evaluation of the crier are. A total of 202 participants (73 men, 129 women) were exposed to brief movie clips of genuine and fake crying adults and were asked to assess the criers. Results show that women were slightly better at identifying fake and genuine crying. How the crying was perceived subsequently seemed to have a strong influence on the further evaluation of the "crier." Criers qualified as pretenders were perceived as significantly more manipulative, less reliable, less warm, and less competent. Further, the respondents felt less connected with the perceived pretenders, who also were less welcomed as friends, colleagues, neighbors, and babysitter. They were additionally qualified as significantly less fit for "reliable" professions (judge, teacher, police officer, scientist, and physician). In contrast, the ratings of their fitness for "unreliable" professions (banker, CEO, journalist, real estate salesman, and politician) yielded a significant difference in only one video clip (and contrary to expectations). Our findings thus indicate that the subjective labeling of crying as fake is associated with a significantly less positive perception of the "crying" person, regardless of whether the crying is actually fake or genuine. The qualification of tears as crocodile tears thus seems to affect the crier's image strongly negatively. Copyright © 2020 van Roeyen, Riem, Toncic and Vingerhoets.One practical challenge in observational studies and quasi-experimental designs is selection bias. The issue of selection bias becomes more concerning when data are non-normal and contain missing values. Recently, a Bayesian robust two-stage causal modeling with instrumental variables was developed and has the advantages of addressing selection bias and handle non-normal data and missing data simultaneously in one model. The method provides reliable parameter and standard error estimates when missing data and outliers exist. The modeling technique can be widely applied to empirical studies particularly in social, psychological and behavioral areas where any of the three issues (e.g., selection bias, data with outliers and missing data) is commonly seen. To implement this method, we developed an R package named ALMOND (Analysis of LATE (Local Average Treatment Effect) for Missing Or/and Nonnormal Data). Package users have the flexibility to directly apply the Bayesian robust two-stage causal models or write their own Bayesian models from scratch within the package. To facilitate the application of the Bayesian robust two-stage causal modeling technique, we provide a tutorial for the ALMOND package in this article, and illustrate the application with two examples from empirical research. Copyright © 2020 Shi, Tong and Meyer.
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