Psychophysics with children: Investigating the effects of attentional lapses on threshold estimates

When assessing the perceptual abilities of children, researchers tend to use psychophysical techniques designed for use with adults. However, children’s poorer attentiveness might bias the threshold estimates obtained by these methods. Here, we obtained speed discrimination threshold estimates in 6- to 7-year-old children in UK Key Stage 1 (KS1), 7- to 9-year-old children in Key Stage 2 (KS2), and adults using three psychophysical procedures: QUEST, a 1-up 2-down Levitt staircase, and Method of Constant Stimuli (MCS). We estimated inattentiveness using responses to “easy” catch trials. As expected, children had higher threshold estimates and made more errors on catch trials than adults. Lower threshold estimates were obtained from psychometric functions fit to the data in the QUEST condition than the MCS and Levitt staircases, and the threshold estimates obtained when fitting a psychometric function to the QUEST data were also lower than when using the QUEST mode. This suggests that threshold estimates cannot be compared directly across methods. Differences between the procedures did not vary significantly with age group. Simulations indicated that inattentiveness biased threshold estimates particularly when threshold estimates were computed as the QUEST mode or the average of staircase reversals. In contrast, thresholds estimated by post-hoc psychometric function fitting were less biased by attentional lapses. Our results suggest that some psychophysical methods are more robust to attentiveness, which has important implications for assessing the perception of children and clinical groups.

     

Attachment styles and clinical correlates in people at ultra high risk for psychosis

Evidence suggests that attachment styles may influence subclinical psychosis phenotypes (schizotypy) and affective disorders and may play a part in the association between psychosis and childhood adversity. However, the role of attachment in the initial stages of psychosis remains poorly understood. Our main aim was to describe and compare attachment styles in 60 individuals at ultra high risk for psychosis (UHR) and a matched sample of 60 healthy volunteers (HV). The HV had lower anxious and avoidant attachment scores than the UHR individuals (p < .001). Sixty-nine percentage of the UHR group had more than one DSM-IV diagnosis, mainly affective and anxiety disorders. The UHR group experienced more trauma (p < .001) and more mood and anxiety symptoms (p < .001). Interestingly, in our UHR group, only schizotypy paranoia was correlated with insecure attachment. In the HV group, depression, anxiety, schizotypy paranoia, and social anxiety were correlated with insecure attachment. This difference and some discrepancies with previous studies involving UHR suggest that individuals at UHR may compose a heterogeneous group; some experience significant mood and/or anxiety symptoms that may not be explained by specific attachment styles. Nonetheless, measuring attachment in UHR individuals could help maximize therapeutic relationships to enhance recovery.     

Long-term associative learning predicts verbal short-term memory performance

Studies using tests such as digit span and nonword repetition have implicated short-term memory across a range of developmental domains. Such tests ostensibly assess specialized processes for the short-term manipulation and maintenance of information that are often argued to enable long-term learning. However, there is considerable evidence for an influence of long-term linguistic learning on performance in short-term memory tasks that brings into question the role of a specialized short-term memory system separate from long-term knowledge. Using natural language corpora, we show experimentally and computationally that performance on three widely used measures of short-term memory (digit span, nonword repetition, and sentence recall) can be predicted from simple associative learning operating on the linguistic environment to which a typical child may have been exposed. The findings support the broad view that short-term verbal memory performance reflects the application of long-term language knowledge to the experimental setting.     

Emotion-Focused Cognitive-Behavioral Therapy for Youth with Anxiety Disorders: A Randomized Trial

Difficulties with emotion regulation are a core feature of anxiety disorders (ADs) in children and adults. Interventions with a specific focus on emotion regulation are gaining empirical support. Yet, no studies to date have compared the relative efficacy of such interventions to existing evidence-based treatments. Such comparisons are necessary to determine whether emotion-focused treatments might be more effective for youth exhibiting broad emotion-regulation difficulties at pretreatment. This study examined an emotion-focused cognitive-behavioral therapy (ECBT) protocol in comparison to traditional cognitive-behavioral therapy (CBT) in a sample of children with a primary anxiety disorder diagnosis. Moderation analyses examined whether children with higher levels of emotion dysregulation at pretreatment would show greater levels of improvement in ECBT than CBT. Ninety-two youth ages 7 to 12 years (58% male) with a primary diagnosis of separation anxiety disorder, generalized anxiety disorder, or social phobia were included. Participants were randomly assigned to ECBT or CBT. Results showed that youth in both conditions demonstrated similar improvements in emotion regulation and that pretreatment levels of emotion dysregulation did not moderate treatment outcomes. Additional analyses showed that ECBT and CBT were similarly effective on diagnostic, severity, and improvement measures. Future work is needed to further explore the ways that emotion regulation is related to treatment outcome for anxious youth.     

Young Children's ability to Discriminate between Antisocial and Prosocial Teases

The present study was designed to (a) examine 5- to 8-year-old children's ability to discriminate between antisocial and prosocial teases and (b) determine whether their age and experiences within the home are associated with their ability to recognize these two types of teases. Results revealed that the 5- to 8-year-old children were able to discriminate between antisocial and prosocial teases. Although the children's parents or legal guardians indicated that the children had more frequent experience with prosocial than antisocial teases in the home, (a) the children were better able to correctly identify the intent of antisocial teasers than prosocial teasers and (b) the parents or legal guardians (correctly) indicated that their child would be better able to recognize an antisocial tease than a prosocial tease. Despite the finding that the children's comprehension of antisocial teasing tended to exceed their comprehension of prosocial teasing, the findings indicate that being relatively young (i.e., 5–6 years old vs. 7–8 years old) and having relatively frequent experience with antisocial teasing in the home may be associated with some children's difficulty in recognizing the intent behind antisocial teases.     

State‐Trace Analysis: Dissociable Processes in a Connectionist Network?

Some argue the common practice of inferring multiple processes or systems from a dissociation is flawed (Dunn, 2003). One proposed solution is state‐trace analysis (Bamber, 1979), which involves plotting, across two or more conditions of interest, performance measured by either two dependent variables, or two conditions of the same dependent measure. The resulting analysis is considered to provide evidence that either (a) a single process underlies performance (one function is produced) or (b) there is evidence for more than one process (more than one function is produced). This article reports simulations using the simple recurrent network (SRN; Elman, 1990) in which changes to the learning rate produced state‐trace plots with multiple functions. We also report simulations using a single‐layer error‐correcting network that generate plots with a single function. We argue that the presence of different functions on a state‐trace plot does not necessarily support a dual‐system account, at least as typically defined (e.g. two separate autonomous systems competing to control responding); it can also indicate variation in a single parameter within theories generally considered to be single‐system accounts.     

The Normativity of Meaning: Guidance and Justification

Abstract

The thesis that meaning is normative has come under much scrutiny of late. However, there are aspects of the view that have received comparatively little critical attention which centre on meaning’s capacity to guide and justify linguistic action. Call such a view ‘justification normativity’ (JN). I outline Zalabardo’s (1997) account of JN and his corresponding argument against reductive-naturalistic meaning-factualism and argue that the argument presents a genuine challenge to account for the guiding role of meaning in linguistic action. I then present a proposal regarding how this challenge may be met. This proposal is then compared to recent work by Ginsborg (2011; 2012), who has outlined an alternative view of the normativity of meaning that explicitly rejects the idea that meanings guide and justify linguistic use. I outline how Ginsborg utilises this notion of normativity in order to provide a positive account of what it is to mean something by an expression which is intended to serve as a response to Kripke’s semantic sceptic. Finally, I argue that Ginsborg’s response to the sceptic is unsatisfactory, and that, insofar as it is able to preserve our intuitive view of meaning’s capacity to guide linguistic action, my proposal is to be preferred.