Mental causation as multiple causation

The paper argues that mental causation can be explained from the sufficiency of counterfactual dependence for causation together with relatively weak assumptions about the metaphysics of mind. If a physical event counterfactually depends on an earlier physical event, it also counterfactually depends on, and hence is caused by, a mental event that correlates with (or supervenes on) this earlier physical event, provided that this correlation (or supervenience) is sufficiently modally robust. This account of mental causation is consistent with the overdetermination of physical events by mental events and other physical events, but does not entail it.

关联规则方法在心理测量中的应用

探讨了当相关系数对变量之间相关程度不易进行度量或者无法度量的情况下,是否可以采用关联规则方法来考察变量之间的相互关系。从理论上分析了关联规则方法在心理测量中应用的可能性,并运用Apriori算法挖掘频繁项集,对来华留学生跨文化适应性数据进行了分析,将关联规则方法分析结果与Pearson相关、Spearman相关结果进行比较,发现当使用关联规则方法进行相互关系分析时,能够更加简易、有效地获得变量间的相关规则。研究结果表明关联规则方法可以获得变量各个水平具体的支持度和置信度,推导出多变量之间的相关规则,并且对于处理非线性的多变量以及多分类变量的相关是非常有用的方法。     

概化理论研究及应用前景

1972年,Cronbach和他的同事们提出概化理论之后,概化理论在行为与心理测量领域得到了广泛的应用,较之经典测量理论,它的优势逐渐地显露：(1)测量的多种误差来源可以在同一个分析中分别估计;(2)可以指导决策者选择最优测量方案;(3)提供可靠性系数：概化系数(G系数)和依存性指标(φ系数)用于不同的决策任务;(4)排除了严格平行测验的假设。概化理论以它的精确性和可藏性受到了信度测量领域研究者们的青睐,本文旨在对概化理论的基本框架、产生、发展及应用前景进行详细论述。     

Within-subject covariation between depression- and anxiety-related affect

Studies find a strong positive relationship between the affective components of anxiety and depression. However, most research thus far has examined the between-person correlations among these constructs, while ignoring how changes in these two types of affect covary over time within a person. Within-person correlations could differ meaningfully from how anxiety- and depression-related affect relate across individuals. Further, individuals may differ in terms of how highly these constructs covary over time. The current study aimed to (1) compare between- and within-person correlations between anxious and depressive affect, (2) examine lagged effects between anxious and depressive affect over time, (3) test whether individuals differ in their within-person correlations between these two types of affect, and (4) examine whether the mean level of affective intensity moderated these individual differences. These questions were explored using college undergraduates (N?=?50) who rated their depression- and anxiety- related affect six times a day for two weeks. A higher average correlation was observed between anxious and depressive affect in between-person compared to within-person analyses. Significant bidirectional lagged effects were observed between these constructs. Individuals with higher average levels of anxious affect experienced stronger within-person correlations between anxious and depressive affect.     

内隐人格理论对他人印象加工策略的影响

从表征状态与他人知觉信息加工方式两个角度探讨了内隐人格理论对他人印象加工策略的影响。首先采用自编的童话情境测验对120名被试的内隐人格理论进行维度分析, 甄选出持不同内隐人格理论的被试(实体论42人、渐变论48人)。随后使用错觉关联效应的实验范式, 要求两类被试(持不同内隐人格理论及其指向性情境)对他人行为信息进行判断, 记录自由回忆和频率估计的差异值。结果发现：持不同内隐人格理论的个体在知觉他人时采用不同的信息加工方式。实体论者通常采用启发式加工, 渐变论者通常采用分析式加工。实体论者在进行启发式加工时, 通过对他人行为信息的即时性判断形成他人印象; 渐变论者在进行分析式加工时, 对他人行为信息进行记忆性判断, 最终依赖情境信息形成他人印象。     

Ideology is related to basic cognitive processes involved in attitude formation

Ideological orientation shapes the perception of the social world and conservatism is associated to an increased weighting of negative over positive information. In the present work we explored how this ideology-based difference is also related to basic cognitive processes involved in attitude formation. In particular, we hypothesized that conservatives, as compared to liberals, would show stronger illusory correlation effects when negative information is relatively infrequent. In Study 1 we employed the typical illusory correlation paradigm (Hamilton & Gifford, 1976) and results confirmed the hypothesis: conservatives developed more negative impressions toward the minority group and showed consistent memory biases. In Study 2, positive information represented the infrequent dimension and in this case no ideology-based difference was observed. Overall, findings indicate that when exposed to numerically different novel groups and negative behaviors are infrequent, illusory correlation effects are accentuated among individuals embracing conservative rather than liberal views of the world. This result may help to understand why conservatives tend to form more negative attitudes toward social minorities.     

Temporal stability of the Francis Scale of Attitude toward Christianity: Test-retest data over five weeks

Recently Lewis, Cruise, and Mc Guckin (2005) have reported on the test-retest reliability of the 7-item version of the Francis Scale of Attitude toward Christianity; however, their study was limited. The present aim was to evaluate the temporal stability of both the 24- and 7-item versions of the Francis Scale of Attitude toward Christianity over a five-week period among a sample of 114 Irish undergraduate university students. Data demonstrated that stability across the two administrations was very high for both the 24- (r = .95) and 7-item (r = .94) versions. These data support the short-term test-retest reliability of both the 24- and 7-item versions of the Francis Scale of Attitude toward Christianity.     

Complexity matching and coordination in individual and dyadic performance

Complexity matching is a measure of coordination based on information exchange between complex networks. To date, studies have focused mainly on interpersonal coordination, but complexity matching may generalize to interacting networks within individuals. The present study examined complexity matching in a double, coordinated Fitts' perceptual-motor task with comparable individual and dyadic conditions. Participants alternated touching targets with their left and right hands in the individual condition, or analogously with the left hand of one partner and the right hand of another in the dyadic condition. In Experiment 1, response coupling was manipulated by making targets drift either randomly or contingently based on prior responses. Here, drift refers to the variability in the target movements between response locations. Long-range correlations in time series of inter-response intervals exhibited complexity matching between the left and right hands of dyads and individuals. Response coupling was necessary for complexity matching in dyads but not individuals. When response coupling was absent in the dyadic condition, the degree of complexity matching was significantly reduced. Experiment 2 showed that the effect of coupling was due to interactions between left and right responses. Results also showed a weak, negative relationship between complexity matching and performance as measured by total response time. In conclusion, principles and measures of complexity matching apply similarly within and between individuals, and perceptual-motor performance can be facilitated by loose response coupling.     

Rapid eye movement sleep dreaming is characterized by uncoupled EEG activity between frontal and perceptual cortical regions

EEG coherent activity is involved in the binding of spatially separated but temporally correlated stimuli into whole events. Cognitive features of rapid eye movement sleep (REM) dreaming resemble frontal lobe dysfunction. Therefore, temporal coupling of EEG activity between frontal and perceptual regions was analyzed from 10 min prior to dream reports (8 adults) from stage-2 and REM sleep. EEG correlation between frontal and perceptual regions decreased and, among perceptual regions increased during REM. The temporal dissociation of EEG activity between executive and perceptual regions supplies an inadequate mechanism for the binding and interpretation of ongoing perceptual activity resulting in dream bizarreness.     

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.