Cognitive-emotional dysfunction among noisy minds: Predictions from individual differences in reaction time variability

Mental noise can be defined as less reliable information processing. Individuals with high levels of mental noise are thought to be disadvantaged in cognitive, emotional, and behavioural realms. The present five studies (total N=298) investigated such potential disadvantages among normally functioning college undergraduates. Mental noise was operationalised in terms of the reaction time coefficient of variation (RTCV), a measure of RT variability that corrects for average levels of mental speed. Individuals with higher RTCV exhibited less effective cognitive control (Studies 1 and 5), less controlled behaviour (Study 2), and were more prone to negative emotional experiences (Study 3) and depressive symptoms (Study 4). Study 5 extended these results and found that individuals higher (versus lower) in RTCV were more adversely affected by their attentional lapses in daily life. Results converge on the idea that mental noise is an important individual difference dimension with multiple adverse correlates and consequences.     

Functional versus dysfunctional team change: Problem diagnosis and structural feedback for self-managed teams

We describe and examine three changes (personnel, process, and structure) that self-managed teams can make to remedy performance problems. We also discuss why self-managed teams may over-emphasize process and (to a lesser extent) personnel changes over structural changes. Furthermore, we describe and test two specific diagnostic feedback interventions aimed at helping teams make functional structural change. Seventy-eight 4-person teams of undergraduate students participated in two trials of a networked laboratory simulation task. All teams were initially structurally misaligned and subsequently received (a) no feedback, (b) one type of feedback only, or (c) both types of feedback. Results confirmed that structurally misaligned teams demonstrated dysfunctional change by changing process more frequently than structure, with detrimental effects for subsequent performance. When teams received the feedback interventions, however, they were more likely to change their structure and thereby improve their performance.     

Neuropsychological sequelae following pediatric stroke: A nonlinear model of age at lesion effects

Aim: The distribution and quality of brain recovery following pediatric arterial ischemic stroke remains controversial. The literature suggests that age at stroke may be an important modulator of neuropsychological outcome, with reports inferring either greater vulnerability or plasticity in the nascent brain. Our aim was to investigate neuropsychological outcomes following pediatric stroke in a clinical sample with reference to age at lesion, lesion laterality, elapsed time from stroke to assessment, and persistent neurological sequelae.

Methods: Using comprehensive neuropsychological assessment batteries, we investigated retrospectively a large (n?=?44) and evenly distributed group of children who had ischemic stroke during “infancy” (1 month to 1 year), “early childhood” (1 to 6 years), and “late childhood” (6 to 16 years).

Results: Children who suffered a stroke performed significantly worse on a range of neuropsychological measures when compared to a normative sample. However, children who suffered a stroke between 1 and 6 years old demonstrated better preserved neuropsychological profiles than either the earlier (before age 1) or later (after age 6) age groups. In addition, those children suffering a left hemisphere lesion performed more poorly on a range of neuropsychological measures than did children with right hemisphere lesions.

Interpretation: Age at stroke is an important determinant of recovery following insult and may modulate neuropsychological and cognitive outcome.     

A Comparison of the Cross-Sectional and Sequential Designs when Assessing Longitudinal Mediation

Mediational studies are often of interest in psychology because they explore the underlying relationship between 2 constructs. Previous research has shown that cross-sectional designs are prone to biased estimates of longitudinal mediation parameters. The sequential design has become a popular alternative to the cross-sectional design for assessing mediation. This design is a compromise between the cross-sectional and longitudinal designs because it incorporates time in the model but has only 1 measurement each of X, M, and Y. As such, this design follows the recommendation of the MacArthur group approach, which stresses the importance of multiple waves of data for studying mediation. These 2 designs were compared to see whether the sequential design assesses longitudinal mediation more accurately than the cross-sectional design. Specifically, analytic expressions are derived for the bias of estimated direct and indirect effects as calculated from the sequential design when the actual mediational process follows a longitudinal autoregressive model. It was found that, in general, the sequential design does not assess longitudinal mediation more accurately than the cross-sectional design. As a result, neither design can be depended on to assess longitudinal mediation accurately.     

Evaluating Structural Equation Models for Categorical Outcomes: A New Test Statistic and a Practical Challenge of Interpretation

This research is concerned with two topics in assessing model fit for categorical data analysis. The first topic involves the application of a limited-information overall test, introduced in the item response theory literature, to structural equation modeling (SEM) of categorical outcome variables. Most popular SEM test statistics assess how well the model reproduces estimated polychoric correlations. In contrast, limited-information test statistics assess how well the underlying categorical data are reproduced. Here, the recently introduced C₂ statistic of Cai and Monroe (2014) is applied. The second topic concerns how the root mean square error of approximation (RMSEA) fit index can be affected by the number of categories in the outcome variable. This relationship creates challenges for interpreting RMSEA. While the two topics initially appear unrelated, they may conveniently be studied in tandem since RMSEA is based on an overall test statistic, such as C₂. The results are illustrated with an empirical application to data from a large-scale educational survey.     

Imperfect epistemic duties and the justificational fecundity of evidence

Mark Nelson argues that we have no positive epistemic duties. His case rests on the evidential inexhaustibility of sensory and propositional evidence—what he calls their ‘infinite justificational fecundity’. It is argued here that Nelson’s reflections on the richness of sensory and propositional evidence do make it doubtful that we ever have an epistemic duty to add any particular beliefs to our belief set, but that they fail to establish that we have no positive epistemic duties whatsoever. A theory of epistemic obligation based on Kant’s idea of an imperfect duty is outlined. It is suggested that such a theory is consistent with the inexhaustibility of sensory and propositional evidence. Finally, one feature of our epistemic practice suggestive of the existence of imperfect epistemic duties is identified and promoted.     

Doing What Comes Naturally: Recent Work on Thomas Aquinas and the New Natural Law Theory

John Finnis, Aquinas: Moral, Political, and Legal Theory. Oxford, Oxford University Press, 1998, xxi+385 pp., $55.00 (hardback) ISBN 0 19 87808 42, $18.95 (paperback) ISBN 0 19 878085 0.

Robert P. George, In Defense of Natural Law. Oxford, Oxford University Press, 1999, 343 pp., $65.00 (hardback) ISBN 0 19 82677 11, $19.95 (paperback) ISBN 0 19 92429 92     

Same faces, different labels: Generating the cross-race effect in face memory with social category information

Recognition of own-race faces is superior to recognition of other-race faces. In the present experiments, we explored the role of top-down social information in the encoding and recognition of racially ambiguous faces. Hispanic and African American participants studied and were tested on computer-generated ambiguous-race faces (composed of 50 % Hispanic and 50 % African American features; MacLin & Malpass, Psychology, Public Policy, and Law 7:98–118, 2001). In Experiment 1, the faces were randomly assigned to two study blocks. In each block, a group label was provided that indicated that those faces belonged to African American or to Hispanic individuals. Both participant groups exhibited superior memory for faces studied in the block with their own-race label. In Experiment 2, the faces were studied in a single block with no labels, but tested in two blocks in which labels were provided. Recognition performance was not influenced by the labeled race at test. Taken together, these results confirm the claim that purely top-down information can yield the well-documented cross-race effect in recognition, and additionally they suggest that the bias takes place at encoding rather than testing.     

Evaluating Medical Marijuana Dispensary Policies: Spatial Methods for the Study of Environmentally-Based Interventions

In 1996, California was the first state to pass a Compassionate Use Act allowing for the legal use of marijuana for medical purposes. Here we review several current policy and land use environmental interventions designed to limit problems related to the influx of medical marijuana dispensaries across California cities. Then we discuss the special challenges, solutions, and techniques used for studying the effects of these place-based policies. Finally, we present some of the advanced spatial analytic techniques that can be used to evaluate the effectiveness of environmental interventions, such as those related to reducing problems associated with the proliferation of medical marijuana dispensaries. Further, using data from a premise survey of all the dispensaries in Sacramento, this study will examine what characteristics and practices of these dispensaries are related to crime within varying distances from the dispensaries (e.g., 100, 250, 500, and 1,000 feet). We find that some security measures, such as security cameras and having a door man outside, implemented by medical marijuana dispensary owners might be effective at reducing crime within the immediate vicinity of the dispensaries.