Spontaneous goal versus spontaneous trait inferences: How ideology shapes attributions and explanations

Past research documented liberals’ greater tendency than conservatives to take situational determinants of others’ actions into account when forming causal attributions, and conservatives’ greater tendency to seek consistency. We hypothesize that liberals (vs. conservatives) should be more likely to make spontaneous goal inferences (SGIs). Conservatives, however, should tend to implicitly infer invariant rather than variant characteristics from others’ behaviors, drawing spontaneous trait inferences (STIs) rather than SGIs. Experiment 1 and 2 supported those hypotheses by illustrating differences in the type of implicit inferences formed by liberals and conservatives in a false recognition paradigm common to the STI literature. Experiment 3 revealed similar differences in conservatives’ and liberals’ goal and trait inferences when making open-ended causal explanations for others’ actions.     

If you want to be one of us,then become like us: The evaluation of naturalization applicants by host nationals

Immigrant naturalization is a rite of passage, making assimilationist attitudes particularly pronounced among host nationals. Three experimental studies investigate whether heritage culture maintenance violates expectations that citizenship should be deserved by proving strong attachment to the host nation (i.e., neoliberal communitarianism). Study 1 (N = 293) demonstrates that naturalization applicants’ high degree of heritage culture maintenance impairs application evaluations. Perceived attachment to the host nation and citizenship deservingness mediated this effect. Study 2 (N = 220) replicates results across two national contexts and reveals that heritage culture maintenance impairs evaluations only among naturalization applicants from devalued countries. Study 3 (N = 117) manipulates attachment to the host nation and shows that perceived citizenship deservingness mediates the negative effects of naturalization applicants' low attachment to the host nation on application evaluations. Overall, assimilationist attitudes among host nationals are best explained by the combination of neoliberal and communitarian criteria of evaluation.     

Individual differences in visual acuity and face matching ability

The visual acuity of the eyes varies outside the range of normal vision, requiring corrective lenses, but also within the normal range. This study investigated whether both types of variation relate to individual differences in face-identity matching, considering this applied task requires perception of detail. Across two experiments, face-matching accuracy correlated with variation in acuity when this fell outside the normal range of vision and was uncorrected with glasses or contact lenses. In contrast, variation in visual acuity within the normal range did not affect face-matching accuracy, whereas matching accuracy at a given level of acuity could vary substantially. These results indicate that visual acuity is only a problem for occupations performing face-identity matching when below-normal acuity is not diagnosed or adequately corrected. In turn, these findings suggest that variation in acuity within the normal range is not a contributing factor to individual differences in face matching accuracy.     

How representations of number and numeracy predict decision paradoxes: A fuzzy-trace theory approach

Higher numeracy has been associated with decision biases in some numerical judgment-and-decision problems. According to fuzzy-trace theory, understanding such paradoxes involves broadening the concept of numeracy to include processing the gist of numbers—their categorical and ordinal relations—in addition to objective (verbatim) knowledge about numbers. We assess multiple representations of gist, as well as numeracy, and use them to better understand and predict systematic paradoxes in judgment and decision-making. In two samples (Ns = 978 and 957), we assessed categorical (some vs. none) and ordinal gist representations of numbers (higher vs. lower, as in relative magnitude judgment, estimation, approximation, and simple ratio comparison), objective numeracy, and a nonverbal, nonnumeric measure of fluid intelligence in predicting: (a) decision preferences exhibiting the Allais paradox and (b) attractiveness ratings of bets with and without a small loss in which the loss bet is rated higher than the objectively superior no-loss bet. Categorical and ordinal gist tasks predicted unique variance in paradoxical decisions and judgments, beyond objective numeracy and intelligence. Whereas objective numeracy predicted choosing or rating according to literal numerical superiority, appreciating the categorical and ordinal gist of numbers was pivotal in predicting paradoxes. These results bring important paradoxes under the same explanatory umbrella, which assumes three types of representations of numbers—categorical gist, ordinal gist, and objective (verbatim)—that vary in their strength across individuals.     

Mapping differential responses to cognitive training using machine learning

We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self‐organizing maps (SOMs)—a type of simple artificial neural network—to represent multivariate cognitive training data, and then tested whether the way tasks are represented changed as a result of training. The patterns of change we observed in the SOM weight matrices implied that the processes drawn upon to perform WM tasks changed following training. This was then combined with K‐means clustering to identify distinct groups of children who respond to the training in different ways. Firstly, the K‐means clustering was applied to an independent large sample (N = 616, M_age = 9.16 years, range = 5.16–17.91 years) to identify subgroups. We then allocated children who had been through cognitive training (N = 179, M_age = 9.00 years, range = 7.08–11.50 years) to these same four subgroups, both before and after their training. In doing so, we were able to map their improvement trajectories. Scores on a separate measure of fluid intelligence were predictive of a child's improvement trajectory. This paper provides an alternative approach to analysing cognitive training data that go beyond considering changes in individual tasks. This proof‐of‐principle demonstrates a potentially powerful way of distinguishing task‐specific from domain‐general changes following training and of establishing different profiles of response to training.     

Lasso回归：从解释到预测

传统的最小二乘回归法关注于对当前数据集的准确估计, 容易导致模型的过拟合, 影响模型结论的可重复性。随着方法学领域的发展, 涌现出的新兴统计工具可以弥补传统方法的局限, 从过度关注回归系数值的解释转向提升研究结果的预测能力也愈加成为心理学领域重要的发展趋势。Lasso方法通过在模型估计中引入惩罚项的方式, 可以获得更高的预测准确度和模型概化能力, 同时也可以有效地处理过拟合和多重共线性问题, 有助于心理学理论的构建和完善。     

互联网企业玩兴氛围对创新行为的跨层次作用机制

互联网企业通过营造快乐愉悦的玩兴氛围, 推动员工持续创新, 以期组织目标的实现。然而, 现有玩兴氛围与员工创新行为关系的研究以理论分析为主, 缺乏实证研究, 进展相对缓慢。在回顾组织管理领域玩兴研究成果的基础上, 开展三个方面的研究：研究一基于组织氛围理论和玩兴活动特征, 开发中国情境下互联网企业的团队玩兴氛围量表。研究二立足于团队层次, 依据资源保存理论重点探讨了玩兴氛围对员工创新行为的跨层次作用机制。研究三从创造力成分模型出发, 引入个体思维方式和多重认同, 探讨激发员工创新行为的边界条件。研究结果发展了中国互联网企业团队玩兴氛围的概念, 促进了玩兴氛围理论的发展, 为互联网类企业营造玩兴氛围以激发创新行为提供理论支持和实践启示。     

Religion and the Human Rights Idea

Three recent books focus, in different ways, on the idea of human rights and its relation to religion and religious ethics. All three books discussed here address criticisms of the human rights idea and seek to establish the relationship of religion and human rights with regard to the field of policy. The present discussion begins with an overview that places these three books in the larger context of the development of the human rights idea and its historical relationship with religion. It then turns to Little's book, next to the collection of essays edited by Twiss, Simion, and Petersen, which is described internally as a Festschrift for Little, and then to Hogan's book, and in the final section it explores comparisons among the books.