Ten Year Research Update (2001–2010): Evaluations for Competence to Stand Trial (Adjudicative Competence)

This article reviews and evaluates publications during 2001–2010 with relevance for assessments of competence to stand trial, referred to in this article as adjudicative competence. The review focuses specifically on articles that provide new concepts or data supported by research or case analyses. The studies are reviewed under the following headings: (i) systemic issues, (ii) conceptual guidelines for AC evaluations, (iii) AC assessment methods, (iv) empirical correlates of AC judgments and psycholegal abilities, (v) quality of AC evaluations and reports, (vi) interpretive issues, (vii) special populations (defendants who are elderly, defendants with intellectual disabilities), (viii) AC evaluations of juveniles, and (ix) treatment of incompetent defendants. Suggestions are offered for further research to advance the quality of clinical evaluations of adjudicative competence. Copyright © 2013 John Wiley & Sons, Ltd.     

Can theories of visual representation help to explain asymmetries in amygdala function?

Emotional processing differs between the left and right hemispheres of the brain, and functional differences have been reported more specifically between the left and right amygdalae, subcortical structures heavily implicated in emotional processing. However, the empirical pattern of amygdalar asymmetries is inconsistent with extant theories of emotional asymmetries. Here we review this discrepancy, and we hypothesize that hemispheric differences in visual object processing help to explain the previously reported functional differences between the left and right amygdalae. The implication that perceptual factors play a large role in determining amygdalar asymmetries may help to explain amygdalar dysfunction in the development and maintenance of posttraumatic stress disorder.     

Reversing presentation order of semantically related words reverses memory

In the Deese-Roediger-McDermott paradigm, words (e.g., sour, candy, sugar,…) related to one critical word (e.g., sweet) typically are encoded in descending order of their association with the critical word. When recognition is tested, memory is greater for related words than for critical words, as predicted by extant memory models. Surprisingly, however, memory is not greater for unrelated words (presented in other encoding lists) than for related words, in contrast with predictions from these same models. In two experiments, we tested whether intralist presentation order is responsible for the unexplained results. Word lists were studied in standard or reversed order (ascending order of association to critical words). Subsequent recognition for related words was high when lists were presented in the standard order but very low when lists were presented in reverse. Results indicate that presentation order affects related-word false alarms, providing important new constraints for memory models.     

Truthmaker Theory Does Not Solve The Gettier Problem

Truthmaker theory has become immensely popular in recent years. So, it is not surprising that we are beginning to see it put to work in other areas of philosophy. Recently, several philosophers have proposed that truthmaker theory is the key to solving the Gettier problem. Edmund Gettier demonstrated that the traditional analysis of knowledge (as justified, true belief) was unsatisfactory. The truthmaker solution proposes that knowledge is a justified, true belief, where the source of one's justification is either identical to, or else causally related to, the state of affairs which makes the believed proposition true. This amendment of the traditional analysis of knowledge purportedly escapes the problems identified by Gettier cases. In this paper, I will examine two particular recent endorsements of this solution – those from Sven Bernecker and Adrian Heathcote – and argue that truthmaker theory is not the key to solving the Gettier problem.     

The belief bias effect is aptly named: a reply to Klauer and Kellen (2011)

In "Assessing the Belief Bias Effect With ROCs: It's a Response Bias Effect," Dube, Rotello, and Heit (2010) examined the form of receiver operating characteristic (ROC) curves for reasoning and the effects of belief bias on measurement indices that differ in whether they imply a curved or linear ROC function. We concluded that the ROC data are in fact curved and that analyses using statistics that assume a linear ROC are likely to produce Type I errors. Importantly, we showed that the interaction between logic and belief that has inspired much of the theoretical work on belief bias is in fact an error stemming from inappropriate reliance on a contrast (hit rate-false alarm rate) that implies linear ROCs. Dube et al. advanced a new model of belief bias, which, in light of their data, is currently the only plausible account of the effect. Klauer and Kellen (2011) disputed these conclusions, largely on the basis of speculation about the data collection method used by Dube et al. to construct the ROCs. New data and model-based analyses are presented that refute the speculations made by Klauer and Kellen. We also show that new modeling results presented by Klauer and Kellen actually support the conclusions advanced by Dube et al. Together, these data show that the methods used by Dube et al. are valid and that the belief bias effect is simply a response bias effect.     

The face in the crowd effect unconfounded: happy faces, not angry faces, are more efficiently detected in single- and multiple-target visual search tasks

Is it easier to detect angry or happy facial expressions in crowds of faces? The present studies used several variations of the visual search task to assess whether people selectively attend to expressive faces. Contrary to widely cited studies (e.g., ?hman, Lundqvist, & Esteves, 2001) that suggest angry faces "pop out" of crowds, our review of the literature found inconsistent evidence for the effect and suggested that low-level visual confounds could not be ruled out as the driving force behind the anger superiority effect. We then conducted 7 experiments, carefully designed to eliminate many of the confounding variables present in past demonstrations. These experiments showed no evidence that angry faces popped out of crowds or even that they were efficiently detected. These experiments instead revealed a search asymmetry favoring happy faces. Moreover, in contrast to most previous studies, the happiness superiority effect was shown to be robust even when obvious perceptual confounds--like the contrast of white exposed teeth that are typically displayed in smiling faces--were eliminated in the happy targets. Rather than attribute this effect to the existence of innate happiness detectors, we speculate that the human expression of happiness has evolved to be more visually discriminable because its communicative intent is less ambiguous than other facial expressions.     

Effector-independent and effector-dependent sequence representations underlie general and specific perceptuomotor sequence learning

Perceptuomotor sequence learning could be due to learning of effector-independent sequence information (e.g., response locations), effector-dependent information (e.g., motor movements of a particular effector), or both. Evidence also suggests that learning of statistical regularities in sequences (general-regularity learning) and specific sequences (specific-sequence learning) are dissociable. The authors examined the degree to which general and specific-sequence learning rely on effector-independent and effector-dependent representations. During training, participants typed sequences that followed a construction rule with a subset of sequences repeatedly processed. At test, effector-independent and effector-dependent learning was examined with respect to general-regularity and specific-sequence learning. Results suggest that general-regularity learning is subserved by effector-independent sequence representations, whereas specific-sequence learning is subserved by effector-dependent sequence representations, further dissociating these types of learning.     

The importance of modeling method effects: resolving the (uni)dimensionality of the loneliness questionnaire

This study sought to resolve the dimensionality of the Loneliness Questionnaire (LQ; Asher, Hymel, & Renshaw, 1984) by applying recommended confirmatory factor analytic procedures that control for method effects (Brown, 2003). This study was needed given that inconsistent findings have been reported recently regarding the structure of this instrument (Bagner, Storch, & Roberti, 2004) and all models to date have not accounted for method effects due to the non-reversed-worded and reversed-worded items of this instrument. Using a large sample of youth in Grades 2 through 12 (N = 11,725), we compared the previously reported 1- and 2-factor models with a newly posited 1-factor model that incorporated correlated error terms to account for method effects. We found that the 1-factor model that included correlated error terms fit the data best, and that this factor structure evidenced measurement invariance across boys and girls in childhood, but not in adolescence. The meaning of the LQ indicators was also consistent for boys across development, but evidenced differences for girls in childhood versus adolescence. More generally, it was demonstrated that modeling method effects is vital to accurately understanding the dimensionality of loneliness when reversed-worded and non-reversed-worded items are used as indicators. The measurement and clinical implications of these findings are discussed.     

High Hostility Among Smokers Predicts Slower Recognition of Positive Facial Emotion

High levels of trait hostility are associated with wide-ranging interpersonal deficits and heightened physiological response to social stressors. These deficits may be attributable in part to individual differences in the perception of social cues. The present study evaluated the ability to recognize facial emotion among 48 high hostile (HH) and 48 low hostile (LH) smokers and whether experimentally-manipulated acute nicotine deprivation moderated relations between hostility and facial emotion recognition. A computer program presented series of pictures of faces that morphed from a neutral emotion into increasing intensities of happiness, sadness, fear, or anger, and participants were asked to identify the emotion displayed as quickly as possible. Results indicated that HH smokers, relative to LH smokers, required a significantly greater intensity of emotion expression to recognize happiness. No differences were found for other emotions across HH and LH individuals, nor did nicotine deprivation moderate relations between hostility and emotion recognition. This is the first study to show that HH individuals are slower to recognize happy facial expressions and that this occurs regardless of recent tobacco abstinence. Difficulty recognizing happiness in others may impact the degree to which HH individuals are able to identify social approach signals and to receive social reinforcement.