Dissociating automatic associations: Comparing two implicit measurements of race bias

Weak correspondence across different implicit bias tasks may arise from the contribution of unique forms of automatic and controlled processes to response behavior. Here, we examined the correspondence between estimates of automatic and controlled processing derived from two sequential priming tasks with identical structure and timing designed to separately measure stereotypic (Weapons Identification Task; WIT) and evaluative (Affective Priming Task; APT) associations. Across two studies using predominantly White samples, three consistent patterns emerged in the data: (a) stereotypic bias was stronger for Black targets, whereas evaluative bias was stronger for White targets; (b) overall response accuracy bias correlated modestly across the two tasks; and (c) multinomial processing tree estimates of controlled processing corresponded much more strongly than estimates of automatic processing. These findings support models positing distinct learning and memory systems for different forms of race bias, and suggest that these differing forms contribute to estimates of automatic associations.     

A purely power-space association without spatial and strategic biases

Previous studies have shown that powerful and powerless concepts are metaphorically associated with top and bottom spaces respectively. However, this association might be contaminated by spatial and strategic biases due to the involvement of spatialized stimuli or responses. It is unknown whether power by itself can automatically activate spatial representations. To eliminate spatial and strategic biases, Experiment 1 separately presented power and spatial stimuli at the center of the screen, and participants had to classify power words and HIGH/LOW labels (Experiment 1a) or indicate up/down arrows (Experiment 1b) using a single key and follow different response rules that were combined with a Go/no-go task. Experiment 2 replicated the non-spatialized design but used an implicit power judgment task. Based upon the non-spatialized method, the results provide the first evidence that a power-space association effect still exists when eliminating spatial and strategic biases, revealing the nonconscious spatial nature of power.     

CARTESIAN PHILOSOPHY AS SPIRITUAL PRACTICE

Although Descartes has in some ways become a symbol of academic isolation, we can dispel this misunderstanding by taking into consideration the holistic nature of Cartesian philosophy. Descartes understood the various branches of philosophy as constituting an organic totality of knowledge that, because of its dependence on imagination and sensation, remains irreducible to intellectual comprehension. Ethics holds a particularly significant place in Cartesian philosophy, and this essay both demonstrates the spiritual nature of Cartesian ethics and explains why Descartes saw ethics as “the ultimate degree of wisdom” so as to illustrate how we can interpret Cartesian philosophy as a spiritual practice. This takes place through a discussion of the distinctions and interconnections of Descartes’s three primary notions (soul, body, and the union of soul and body) and concludes by reflecting on the specific temporality of nobility as well as addressing several objections to Cartesian ethics.     

A Comparison of Inverse-Wishart Prior Specifications for Covariance Matrices in Multilevel Autoregressive Models

Multilevel autoregressive models are especially suited for modeling between-person differences in within-person processes. Fitting these models with Bayesian techniques requires the specification of prior distributions for all parameters. Often it is desirable to specify prior distributions that have negligible effects on the resulting parameter estimates. However, the conjugate prior distribution for covariance matrices—the Inverse-Wishart distribution—tends to be informative when variances are close to zero. This is problematic for multilevel autoregressive models, because autoregressive parameters are usually small for each individual, so that the variance of these parameters will be small. We performed a simulation study to compare the performance of three Inverse-Wishart prior specifications suggested in the literature, when one or more variances for the random effects in the multilevel autoregressive model are small. Our results show that the prior specification that uses plug-in ML estimates of the variances performs best. We advise to always include a sensitivity analysis for the prior specification for covariance matrices of random parameters, especially in autoregressive models, and to include a data-based prior specification in this analysis. We illustrate such an analysis by means of an empirical application on repeated measures data on worrying and positive affect.     

THE PAST IS IN THE PRESENT: READING THE WORK OF EDNA O'SHAUGHNESSY

Inquiries in Psychoanalysis: Collected Papers of Edna O'Shaughnessy. By Edna O'Shaughnessy; edited by Richard Rusbridger. London/New York: Routledge, 2014. 342 pp.     

Hidden Markov Item Response Theory Models for Responses and Response Times

Current approaches to model responses and response times to psychometric tests solely focus on between-subject differences in speed and ability. Within subjects, speed and ability are assumed to be constants. Violations of this assumption are generally absorbed in the residual of the model. As a result, within-subject departures from the between-subject speed and ability level remain undetected. These departures may be of interest to the researcher as they reflect differences in the response processes adopted on the items of a test. In this article, we propose a dynamic approach for responses and response times based on hidden Markov modeling to account for within-subject differences in responses and response times. A simulation study is conducted to demonstrate acceptable parameter recovery and acceptable performance of various fit indices in distinguishing between different models. In addition, both a confirmatory and an exploratory application are presented to demonstrate the practical value of the modeling approach.     

Effects of domain-specific exercise load on speed and accuracy of a domain-specific perceptual-cognitive task

In the context of perceptual-cognitive expertise it is important to know whether physiological loads influence perceptual-cognitive performance. This study examined whether a handball specific physical exercise load influenced participants’ speed and accuracy in a flicker task. At rest and during a specific interval exercise of 86.5–90% HR_max, 35 participants (experts: n = 8, advanced: n = 13, novices, n = 14) performed a handball specific flicker task with two types of patterns (structured and unstructured). For reaction time, results revealed moderate effect sizes for group, with experts reacting faster than advanced and advanced reacting faster than novices, and for structure, with structured videos being performed faster than unstructured ones. A significant interaction for structure × group was also found, with experts and advanced players faster for structured videos, and novices faster for unstructured videos. For accuracy, significant main effects were found for structure with structured videos solved more accurately. A significant interaction for structure × group was revealed, with experts and advanced more accurate for structured scenes and novices more accurate for unstructured scenes. A significant interaction was also found for condition × structure; at rest, unstructured and structured scenes were performed with the same accuracy while under physical exercise, structured scenes were solved more accurately. No other interactions were found. These results were somewhat surprising given previous work in this area, although the impact of a specific physical exercise on a specific perceptual-cognitive task may be different from those tested generally.     

与上司“心有灵犀”会让你的工作更出色吗?——追随原型一致性、工作投入与工作绩效

内隐追随作为一种关于追随角色的认知结构,包括追随原型和反原型两种。其中,追随原型表征了个体对追随角色的积极预期。本研究基于角色理论,考察了领导者-追随者的追随原型一致性对工作绩效的影响及工作投入的中介作用。采用跨层次多项式回归和响应面分析技术,对64个工作团队的数据进行分析,发现追随原型能否提升工作绩效主要取决于领导-追随双方的匹配情况。具体而言,(1)领导-追随双方的追随原型越一致,关系绩效越高。但上述结论并不适用于任务绩效。(2)在一致情况下,与"低-低"一致相比,任务绩效和关系绩效在双方追随原型的"高-高"一致时更高。(3)在不一致情况下,与"领导者的追随原型高-追随者的追随原型低"相比,任务绩效和关系绩效在"领导者的追随原型低-追随者的追随原型高"时相对更高。(4)追随原型一致性通过工作投入影响任务绩效和关系绩效。