认知诊断属性分类一致性信度区间估计三种方法

摘要：引入了三种可以估计认知诊断属性分类一致性信度置信区间的方法：Bootstrap法、平行测验法和平行测验配对法。用模拟研究验证和比较了这三种方法的表现,结果发现,平行测验法和Bootstrap法在被试量比较少、题目数量比较少的情况下,估计的标准误和置信区间较接近,但是随着被试量的增加,Bootstrap法的估计精度提高较快,在被试量大和题目数量较多时基本接近平行测验配对法的结果。Bootstrap法的所需时间最少,平行测验配对法计算过程复杂且用时较长,推荐用Bootstrap法估计认知诊断属性分类一致性信度的置信区间。     

Are the states underlying implicit biases unconscious? – A Neo-Freudian answer

Many philosophers as well as psychologists hold that implicit biases are due to unconscious attitudes. The justification for this unconscious-claim seems to be an inference to the best explanation of the mismatch between explicit and implicit attitudes, which is characteristic of implicit biases. The unconscious-claim has recently come under attack based on its inconsistency with empirical data. Instead, Gawronski, Hoffman, and Wilbur (2006) analyze implicit biases based on the so-called Associative-Propositional Evaluation (APE) model, according to which implicit attitudes are phenomenally conscious and accessible. The mismatch between the explicit and the implicit attitude is explained by the Cognitive Inconsistency Approach (CIA) (as I will call it): implicit attitudes are conscious but rejected as basis for explicit judgments because the latter lead to cognitive inconsistency with respect to other beliefs held by the subject. In this paper, I will argue that the CIA is problematic since it cannot account for the fact that implicit attitudes underlying implicit biases typically are unconscious. I will argue that a better explanation of the attitude-mismatch can be given in terms of a Neo-Freudian account of repression. I will develop such an account, and I will show how it can accommodate the merits of the APE model while avoiding the problems of the CIA.     

他人注视对不诚实行为的影响

有研究发现,他人的注视会使人们倾向于遵循社会规则,但甚少发现他人注视状态对不诚实行为的影响。该研究旨在通过比较眼睛的呈现类型和形式对不诚实行为的影响,来考察哪种注视状态能有效抑制个体的不诚实行为。结果发现,非伴随注视状态下,被试表现出不诚实行为,且不同类型的眼睛对被试的不诚实行为没有影响; 伴随注视状态下,直视眼抑制了被试的不诚实行为,而斜视眼则没有。这表明他人持续的注视可能作为内隐的名誉线索在一定程度上抑制了人们的不诚实行为。     

Judging a Book by its Cover: The Influence of Implicit Self‐Theories on Brand User Perceptions

Do people judge others based on the brands they use? Prior research finds evidence to this effect, yet we argue this phenomenon is far from universal. Drawing on research on implicit self‐theories, we find that only entity (but not incremental) theorists are prone to judging people based on their brand use (Studies 1 and 2). We show that entity theorists infer that people use brands to signal who they are to others, thereby forming perceptions of these people based on the personality of the brands they use, but incremental theorists are reluctant to make inferences about brand users’ signaling motives (Studies 3, 4, and 5). When tendencies to make signaling inferences are reduced, entity theorists no longer judge people based on their brand use (Studies 3 and 4). Furthermore, even incremental theorists judge people based on their brand use when given the information that their brand use is not driven by situational forces, but is potentially driven by a signaling motivation (Study 5).     

Development of a cognitive function test using virtual reality technology: examination in healthy participants

We developed a virtual reality test to assess the cognitive function of Japanese people in near-daily-life environment, namely, a virtual shopping test (VST). In this test, participants were asked to execute shopping tasks using touch panel operations in a “virtual shopping mall.” We examined differences in VST performances among healthy participants of different ages and correlations between VST and screening tests, such as the Mini–Mental State Examination (MMSE) and Everyday Memory Checklist (EMC). We included 285 healthy participants between 20 and 86 years of age in seven age groups. Therefore, each VST index tended to decrease with advancing age; differences among age groups were significant. Most VST indices had a significantly negative correlation with MMSE and significantly positive correlation with EMC. VST may be useful for assessing general cognitive decline; effects of age must be considered for proper interpretation of the VST scores.     

Comparing dependent robust correlations

Let r₁ and r₂ be two dependent estimates of Pearson's correlation. There is a substantial literature on testing H₀ : ρ₁ = ρ₂, the hypothesis that the population correlation coefficients are equal. However, it is well known that Pearson's correlation is not robust. Even a single outlier can have a substantial impact on Pearson's correlation, resulting in a misleading understanding about the strength of the association among the bulk of the points. A way of mitigating this concern is to use a correlation coefficient that guards against outliers, many of which have been proposed. But apparently there are no results on how to compare dependent robust correlation coefficients when there is heteroscedasicity. Extant results suggest that a basic percentile bootstrap will perform reasonably well. This paper reports simulation results indicating the extent to which this is true when using Spearman's rho, a Winsorized correlation or a skipped correlation.     

Mindful learning can promote connectedness to nature: Implicit and explicit evidence

Environmental problems have attracted increasing attention, yet individuals’ connectedness to nature remains a significant concern for potential solutions to these problems. In this article, we propose a novel method to promote connectedness to nature: mindful learning. One hundred and thirty-four students participated in the experiment. First, baseline measurements using the Connectedness to Nature Scale were obtained. Participants were then assigned to either a mindful or mindless learning condition. Finally, as a posttest, participants completed the Implicit Association Test and the Inclusion of Nature in the Self Scale. The performance of the mindful-learning group was better for both measures. Participants in the mindful-learning condition performed better on the Implicit Association Test and scored higher on the Inclusion of Nature in the Self Scale. These results provide empirical evidence that mindful learning may promote connectedness to nature, both implicitly and explicitly.