时间感知在跨期决策中的作用——时间决策模型的新探索

“时间”是跨期决策的“必需品”, 人们感知到的延迟时间决定跨期决策的结果。近年来, 研究者发现“时间长度感知”、“时间资源感知”和“时间框架感知”是时间感知作用于跨期决策的主要方式。时间感知的神经作用机制包含微观层面和宏观层面两种。“对数/指数时间折扣模型”、“感知时间基础模型”及“多模态漂移扩散模型”解释了时间感知的作用方式。然而, 现有理论模型还存在诸多局限, 主要包括“长短时距预测偏差”和“实际决策与预期决策偏差”两个方面。因此, 深入探讨时间感知影响跨期决策的基本方式, 分析现有理论模型的局限性并提出整合的机制框架具有十分重要的意义。未来研究亟需进一步整合时间感知的理论模型, 开展脑机制与应用方面的研究, 从深层揭露时间感知的作用本质, 帮助个人与社会更理性地决策。     

旅游商品多语言包装策略的作用机制和影响效果——基于选择通达模型的视角

多语言包装策略被广泛应用于促进旅游商品的销售。然而, 现有研究仅从消费者感知视角出发, 难以揭示多语言线索的复杂效应。本研究基于选择通达模型, 主要探讨(1)多语言包装策略导致消费者推断旅游商品是针对某类群体(即对比效应)还是广泛模糊的“国际市场” (即同化效应)的作用机制; (2)多语言包装策略对旅游商品购买决策的影响机制。本研究有助于扩展旅游商品和包装语言的相关研究, 为旅游商品营销提供重要参考。     

The relationship between sensory responsiveness profiles,attachment orientations,and anxiety symptoms

Individual variations in the way people respond to sensory stimuli can sometimes lead to maladaptive representations of the world. Indeed, sensory responsiveness profiles were found to be associated with mood symptoms such as depression and anxiety. The goal of the current study was to investigate whether attachment orientations can account for the relationship between sensory responsiveness profiles and anxiety symptoms. Participants (N = 194) completed a battery of questionnaires assessing sensory responsiveness profiles, attachment orientations, and anxiety symptoms. As expected, various associations between sensory responsiveness profiles and anxiety symptoms were accounted for by attachment anxiety and avoidance. We suggest a possible causal path, in which early‐developing sensory responsiveness profiles lead to attachment insecurities, which in turn may lead to mood symptoms such as anxiety.     

A sixth personality domain that is independent of the Big Five domains: The psychometric properties of the HEXACO Personality Inventory in a Japanese sample

We investigated the reliability of the HEXACO‐Personality Inventory (HEXACO‐PI) using the NEO Five‐Factor Inventory (NEO‐FFI) and the International Personality Item Pool (IPIP) Big Five scales in a Japanese sample of 492 respondents (mean age = 20.4 years). The psychometric properties of the HEXACO‐PI were examined and found to be satisfactory. The results of the factor analysis showed that the six hypothesized personality domains were found independently. A total of 307 participants responded to the NEO‐FFI and the IPIP Big Five scales. The results showed that the five domains of the HEXACO model corresponded to the Five‐Factor domains and were relative to the Big Five personality domains as a whole, but the sixth domain, Honesty‐Humility, showed weak to moderate correlations with some factors of the NEO‐FFI and the IPIP Big Five scales. These results suggest that the Honesty‐Humility domain is independent of the five fundamental personality factors and that the HEXACO‐PI is a useful and reliable questionnaire for investigating personality structure in cross‐cultural and other context.     

You were always on my mind: The importance of “significant others” in the attenuation of retrieval‐induced forgetting in Japan

Research on memory has demonstrated that remembering material can cause forgetting of related information, which is known as retrieval‐induced forgetting (RIF). Macrae and Roseveare identified “self” as one of the boundary conditions of this effect in the Western cultural context, showing that RIF was eliminated when material was encoded to be related to the self (known as self‐referential effect), but not to significant others. In this study, we predicted and found that significant others could be another boundary condition in Japanese cultural contexts in which self and agency are more interdependent or conjoint; RIF was observed neither under best‐friend‐related encoding nor under family‐related encoding in Japan. The effect of significant others is found uniquely in Japanese cultural contexts, suggesting that the cultural model of self has significant power in the spontaneous system of memory.     

Using generalized additive (mixed) models to analyze single case designs

This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data. These models excel at detecting the functional form between two variables (often called trend), that is, whether trend exists, and if it does, what its shape is (e.g., linear and nonlinear). In many respects, however, these models are also an ideal vehicle for analyzing single-case designs because they can consider level, trend, variability, overlap, immediacy of effect, and phase consistency that single-case design researchers examine when interpreting a functional relation. We show how these models can be implemented in a wide variety of ways to test whether treatment is effective, whether cases differ from each other, whether treatment effects vary over cases, and whether trend varies over cases. We illustrate diagnostic statistics and graphs, and we discuss overdispersion of data in detail, with examples of quasibinomial models for overdispersed data, including how to compute dispersion and quasi-AIC fit indices in generalized additive models. We show how generalized additive mixed models can be used to estimate autoregressive models and random effects and discuss the limitations of the mixed models compared to generalized additive models. We provide extensive annotated syntax for doing all these analyses in the free computer program R.     

Rural Neighborhoods and Child Aggression

Structural equation modeling with latent variables was used to evaluate the direct and mediated effects of a neighborhood risk factor (negative teen behaviors) on the parent-report aggressive behavior of 213 students in grades 3 through 5 attending a school in a low-income, rural community. Contagion and social control hypotheses were examined as well as hypotheses about whether the neighborhood served as a microsystem or exosystem for rural pre-adolescents. Analyses took into account the clustering of students and ordinal nature of the data. Findings suggest that rural neighborhoods may operate as both a microsystem and exosystem for children, with direct contagion effects on their aggressive behaviors as well as indirect social control effects through parenting practices. Direct effects on aggression were also found for parenting practices and child reports of friends’ negative behaviors. Pre-adolescence may be a transitional stage, when influences of the neighborhood on child behavior begin to compete with influences of caregivers. Findings can inform the timing and targets of violence prevention in rural communities.     

The Dark Triad,happiness and subjective well-being

Narcissism can be expressed in grandiose or vulnerable forms. We examined whether positive psychological states (defined by the Oxford Happiness Inventory (OHI) and the Diener Satisfaction With Life (SWL) scales) assisted differentiation relative to general personality traits and the “the Dark Triad” (psychopathy, narcissism, and Machiavellianism, measured by the D12 and Short Dark Triad (SD3) indices) for 840 persons primarily from the UK, USA and Canada. The best fitting structural equation model comprised two latent variables, one of positive mood (comprising total scores on the OHI and SWL scales), and another forming a “dark dyad” of Machiavellianism and psychopathy (predicted by low agreeableness and lower positive mood), with narcissism regarded as a separate construct correlated with the dark dyad. Latent positive mood was primarily predicted by higher emotional stability and extraversion. Narcissism was predicted by lower emotional stability, lower agreeableness, and higher extraversion. Latent profile analysis identified four groups in the data: “unhappy but not narcissistic”, “vulnerable narcissism”, “happy non-narcissism” and “grandiose narcissism”. Our results suggest more problematic narcissism can be identified by reference to measures indexing positive mood states and general personality traits.