Singular neutrosophic extended triplet groups and generalized groups

Neutrosophic extended triplet group (NETG) is an interesting extension of the concept of classical group, which can be used to express general symmetry. This paper further studies the structural characterizations of NETG. First, some examples are given to show that some results in literature are false. Second, the differences between generalized groups and neutrosophic extended triplet groups are investigated in detail. Third, the notion of singular neutrosophic extended triplet group (SNETG) is introduced, and some homomorphism properties are discussed and a Lagrange-like theorem for finite SNETG is proved. Finally, the following important result is proved: a semigroup is a singular neutrosophic extended triplet group (SNETG) if and only if it is a generalized group.     

Accommodating Small Sample Sizes in Three-Level Models When the Third Level is Incidental

Small samples sizes are a pervasive problem when modeling clustered data. In two-level models, this problem has been well studied, and several resources provide guidance for modeling such data. However, a recent review of small-sample clustered data methods has noted that no studies have investigated methods for modeling three-level data with small sample sizes. Furthermore, strategies for two-level models do not necessarily translate to the three-level context. Moreover, three-level models are prone to small samples because the “small sample” designation is primarily based on the sample size of the highest level, and large samples are increasingly difficult to amass as one progresses up a hierarchy. In this study, we focus on the case when the third level is incidental, meaning that the third level is important to consider but there are no explicit research questions at the third level. This study performs a simulation study to examine the performance of seven methods for modeling three-level data with a small sample at the third level. A motivating educational psychology example is also provided to demonstrate how the choice of method can greatly affect results.     

The design of the MBT‐G adherence and quality scale

Few group psychotherapy studies focus on therapists' interventions, and instruments that can measure group psychotherapy treatment fidelity are scarce. The aim of the present study was to evaluate the reliability of the Mentalization‐based Group Therapy Adherence and Quality Scale (MBT‐G‐AQS), which is a 19‐item scale developed to measure adherence and quality in mentalization‐based group therapy (MBT‐G). Eight MBT groups and eight psychodynamic groups (a total of 16 videotaped therapy sessions) were rated independently by five raters. All groups were long‐term, outpatient psychotherapy groups with 1.5 hours weekly sessions. Data were analysed by a Generalizability Study (G‐study and D‐study). The generalizability models included analyses of reliability for different numbers of raters. The global (overall) ratings for adherence and quality showed high to excellent reliability for all numbers of raters (the reliability by use of five raters was 0.97 for adherence and 0.96 for quality). The mean reliability for all 19 items for a single rater was 0.57 (item range 0.26–0.86) for adherence, and 0.62 (item range 0.26–0.83) for quality. The reliability for two raters obtained mean absolute G‐coefficients on 0.71 (item range 0.41–0.92 for the different items) for adherence and 0.76 (item range 0.42–0.91) for quality. With all five raters the mean absolute G‐coefficient for adherence was 0.86 (item range 0.63–0.97) and 0.88 for quality (item range 0.64–0.96). The study demonstrates high reliability of ratings of MBT‐G‐AQS. In models differentiating between different numbers of raters, reliability was particularly high when including several raters, but was also acceptable for two raters. For practical purposes, the MBT‐G‐AQS can be used for training, supervision and psychotherapy research.     

In‐group relevance facilitates learning across existing and new associations

Studies have shown that attention prioritizes stimuli associated with the in‐group. However, the extent to which this so‐called in‐group favoritism is driven by relevance is not clear. Here, we investigated this issue in a group of university rowers using a novel perceptual matching task based on the team label–color associations. Across three experiments, participants showed enhanced performance for the in‐group stimulus regardless of its familiarity level. These findings confirmed the role of relevance in in‐group favoritism. In a further control study, the advantage for certain stimuli was not found in an independent sample of participants who were not identified with the teams but were familiar with the label–color associations, indicating that in‐group relevance was necessary for the in‐group favoritism. Together, these findings suggest that in‐group relevance facilitates learning across existing and new associations. The consequences of these findings for understanding in‐group effects on perceptual processing are discussed.     

Explaining White Opposition to Black Political Leadership: The Role of Fear of Racial Favoritism

Despite the election of America's first Black president, most non‐Hispanic Whites continue to oppose Black political leadership. The conventional explanation for White opposition is sheer racial prejudice, yet the available empirical evidence for this theory is inconsistent. I test an alternative theory that Whites perceive Black political leaders as a threat to their group's interests. Using a new survey measure and nationally representative panel data covering the 2008, 2010, and 2012 U.S. elections, I find that a majority of Whites perceive Black elected officials as likely to favor Blacks over Whites. Moreover, fear of racial favoritism predicts support for Barack Obama in both cross‐sectional models and fixed‐effects models of within‐person change, controlling for negative racial stereotypes. I replicate these findings using a separate cross‐sectional survey fielded after the 2014 election that controls for racial resentment. Collectively, these results suggest that perceptions of conflicting group interests—and not just prejudice—drive White opposition to Black political leadership.     

时间压力下你想听什么? 参照组影响对冲动购买的调节

本文研究时间压力下消费者冲动性购买怎样受参照组的影响。通过二手数据和实验的方法发现时间压力和参照组影响类型对冲动性购买具有交互作用:时间压力低,信息性影响更能激发冲动性购买;时间压力高,规范性影响更能起作用;即时喜悦和规范性评估起中介作用。而且不同的信息性影响类型也会产生差异:时间压力高,数量性信息更容易使消费者冲动性购买;时间压力低,内容性信息更能起作用。本文的研究丰富了冲动性购买的相关理论和管理经验。     

情境对共情的影响

共情指的是个体在与人交往的过程中共享并理解他人的情绪状态的倾向, 包括认知共情和情绪共情两种成分。现实生活中的共情总是发生在一定的具体情境中, 受到情境因素的影响。其中, 情境的公开性或私密性、意义性等均在不同程度上影响了共情的产生或共情反应的强烈程度。共情对象在特定情境中与共情主体之间的群际关系、人际关系等也是重要的情境因素, 共情主体对于和自己属于同一群体或拥有较亲密人际关系的他人更容易产生共情。情境对共情的影响通过自上而下和自下而上两种方式实现。有关情境对共情的影响研究虽然取得了一定的成果, 但仍然有进一步拓展的空间, 未来的研究需要在情境因素的内涵上进行深入挖掘, 从认知加工的角度对情境影响共情的机制做更为细致、微观地解析, 还可以从共情主体的视角明确个体差异如何调节了情境对共情的影响作用。