Metaphors and Stories in Cognitive Behavioral Therapy with Children

Despite the recent proliferation of material on cognitive behavioral approaches with children and adolescents and the call for these approaches to be more child-friendly, there is scant attention paid to the use of metaphors with youngsters. This paper emphasizes the value metaphors add to cognitive behavioral therapy with children and adolescents. The advantages which recommend metaphor use for cognitive behavioral therapy with children are delineated. Further, seven guidelines for clinical practice are outlined. Examples of both clinician-generated and patient-generated metaphors are also presented.     

Academic success in adolescence: Relationships among verbal IQ,social support and emotional intelligence

The objective of this study was to examine, by gender, whether emotional intelligence (EI), peer social support, and/or family social support partially mediated the influence of verbal IQ on Grade 10 grade point average (GPA) for 192 students (96 male, 96 female). For male students, EI and peer social support predicted GPA and EI mediated the association between verbal IQ and GPA. For female students, EI, peer social support, and family support predicted GPA but did not mediate the association between verbal IQ and GPA. This study further examined whether subscales of EI (intrapersonal, interpersonal, adaptability, and stress management abilities), peer social support and family social support (emotional, socialising, practical, financial, and advice) added to the prediction of GPA after verbal IQ, gender, and socioeconomic status were controlled. Adaptability, stress management and practical family social support each added to the explanation of variability. None of the peer social support subscales predicted additional variance in GPA.     

Self-motion impairs multiple-object tracking

Investigations of multiple-object tracking aim to further our understanding of how people perform common activities such as driving in traffic. However, tracking tasks in the laboratory have overlooked a crucial component of much real-world object tracking: self-motion. We investigated the hypothesis that keeping track of one’s own movement impairs the ability to keep track of other moving objects. Participants attempted to track multiple targets while either moving around the tracking area or remaining in a fixed location. Participants’ tracking performance was impaired when they moved to a new location during tracking, even when they were passively moved and when they did not see a shift in viewpoint. Self-motion impaired multiple-object tracking in both an immersive virtual environment and a real-world analog, but did not interfere with a difficult non-spatial tracking task. These results suggest that people use a common mechanism to track changes both to the location of moving objects around them and to keep track of their own location.     

Does Outcome Favorability Affect Procedural Fairness as a Result of Self‐Serving Attributions?

In a situation indicating possible pseudo-participation, we examined whether outcome favorability affects perceived procedural fairness and resentment as a result of self-serving attributions for outcomes. Laboratory participants received a production target that was either substantially above (i.e., unfavorable outcome) or substantially below (i.e., favorable outcome) a target they had voiced to a supervisor. As hypothesized, outcome favorability was related to procedural fairness (positively) and resentment (negatively) among participants who lacked persuasive evidence of pseudo-participation. In support of the idea that these effects were a result of self-serving attributions, rather than instrumental concerns, they did not emerge among participants who had persuasive evidence of pseudo-participation.     

Reactivity to Stress: When Does a History of Medical Adversity Foster Resilience Versus Vulnerability?

Young adults with (or without) a history of medical or physical disorders (MPDs) were exposed to repeated laboratory stress. The effects of MPD status on habituation (as measured by changing levels of cortisol) were found to be moderated by the extent to which respondents reported “attachment feelings” in their relationships (as measured by the Social Provisions Scale). Students in the MPD group who reported attachment feelings showed (a) cortisol increases during their first exposure to a laboratory stressor; and (b) cortisol decreases during a second exposure to the same stressor 1 week later. No equivalent benefit was found for students who lacked this medical history. Findings suggest the extent to which medical adversity—under the right interpersonal circumstances—promotes resilience.     

Useful scientific theories are useful: A reply to Rouder, Pratte, and Morey (2010)

In a recognition memory experiment, Mickes, Wixted, and Wais (2007) reported that distributional statistics computed from ratings made using a 20-point confidence scale (which showed that the standard deviation of the ratings made to lures was approximately 0.80 times that of the targets) essentially matched the distributional statistics estimated indirectly by fitting a Gaussian signal-detection model to the receiver-operating characteristic (ROC). We argued that the parallel results serve to increase confidence in the Gaussian unequal-variance model of recognition memory. Rouder, Pratte, and Morey (2010) argue that the results are instead uninformative. In their view, parametric models of latent memory strength are not empirically distinguishable. As such, they argue, our conclusions are arbitrary, and parametric ROC analysis should be abandoned. In an attempt to demonstrate the inherent untestability of parametric models, they describe a non-Gaussian equal-variance model that purportedly accounts for our findings just as well as the Gaussian unequal-variance model does. However, we show that their new model—despite being contrived after the fact and in full view of the to-be-explained data—does not account for the results as well as the unequal-variance Gaussian model does. This outcome manifestly demonstrates that parametric models are, in fact, testable. Moreover, the results differentially favor the Gaussian account over the probit model and over several other reasonable distributional forms (such as the Weibull and the lognormal).