Examining the association between music lessons and intelligence

Although links between music training and cognitive abilities are relatively well-established, unresolved issues include the generality of the association, the direction of causation, and whether the association is mediated by executive function. Musically trained and untrained 9- to 12-year olds were compared on a measure of IQ and five measures of executive function. IQ and executive function were correlated. The musically trained group had higher IQs than their untrained counterparts and the advantage extended across the IQ subtests. The association between music training and executive function was negligible. These results provide no support for the hypothesis that the association between music training and IQ is mediated by executive function. When considered jointly with the available literature, the findings suggest that children with higher IQs are more likely than their lower-IQ counterparts to take music lessons, and to perform well on a variety of tests of cognitive ability except for those measuring executive function.     

A Narrative Approach to Supporting Students Diagnosed With Learning Disabilities

Students diagnosed with learning disabilities experience many challenges that school counselors may address through narrative therapy. Narrative therapy is a postmodern, social constructionist approach based on the theoretical construct that individuals create their notions of truth and meaning of life through interpretive stories. This article identifies potential challenges students diagnosed with learning disabilities encounter, provides an orientation to narrative therapy, and offers a case example illustrating the application of narrative therapy with this client population.     

A computational model of spatial visualization capacity

Visualizing spatial material is a cornerstone of human problem solving, but human visualization capacity is sharply limited. To investigate the sources of this limit, we developed a new task to measure visualization accuracy for verbally-described spatial paths (similar to street directions), and implemented a computational process model to perform it. In this model, developed within the Adaptive Control of Thought-Rational (ACT-R) architecture, visualization capacity is limited by three mechanisms. Two of these (associative interference and decay) are longstanding characteristics of ACT-R’s declarative memory. A third (spatial interference) is a new mechanism motivated by spatial proximity effects in our data. We tested the model in two experiments, one with parameter-value fitting, and a replication without further fitting. Correspondence between model and data was close in both experiments, suggesting that the model may be useful for understanding why visualizing new, complex spatial material is so difficult.     

Sensitivity and specificity of depression questionnaires in a college-age sample

The authors evaluated the sensitivity and specificity of the Beck Depression Inventory-II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) and Center for Epidemiological Studies-Depression Scale (CESD; L. S. Radloff, 1977) questionnaires for a college-student sample. Results indicate that the BDI-II and CES-D evidenced satisfactory levels of specificity and positive predictive value for current, past-year, and lifetime depressive disorder ratings on the Diagnostic Interview Schedule-IV (American Psychiatric Association, 1994). Researchers can use the questionnaires as valid initial screens in a two-stage process designed to identify individuals meeting Diagnostic and Statistical Manual of Mental Disorders-IV (American Psychiatic Association) criteria for depressive disorders. However, if the questionnaires are the only method used to select participants, the resulting sample may include a number of false positives.     

Impressions of Milgram's obedient teachers: situational cues inform inferences about motives and traits

The research investigated impressions formed of a "teacher" who obeyed an experimenter by delivering painful electric shocks to an innocent person (S. Milgram, 1963, 1974). Three findings emerged across different methodologies and different levels of experimenter-induced coercion. First, contrary to conventional wisdom, perceivers both recognized and appreciated situational forces, such as the experimenter's orders that prompted the aggression. Second, perceivers' explanations of the teacher's behavior focused on the motive of obedience (i.e., wanting to appease the experimenter) rather than on hurtful (or evil) motivation. Despite this overall pattern, perceptions of hurtful versus helpful motivation varied as a function of information regarding the level of coercion applied by the experimenter. Finally, theoretically important relationships were revealed among perceptions of situations, motives, and traits. In particular, situational cues (such as aspects of the experimenter's behavior) signaled the nature of the teacher's motives, which in turn informed inferences of the teacher's traits. Overall, the findings pose problems for the lay dispositionism perspective but fit well with multiple inference models of dispositional inference.     

Strategy generalization across orientation tasks: testing a computational cognitive model

Humans use their spatial information processing abilities flexibly to facilitate problem solving and decision making in a variety of tasks. This article explores the question of whether a general strategy can be adapted for performing two different spatial orientation tasks by testing the predictions of a computational cognitive model. Human performance was measured on an orientation task requiring participants to identify the location of a target either on a map (find-on-map) or within an egocentric view of a space (find-in-scene). A general strategy instantiated in a computational cognitive model of the find-on-map task, based on the results from Gunzelmann and Anderson (2006) , was adapted to perform both tasks and used to generate performance predictions for a new study. The qualitative fit of the model to the human data supports the view that participants were able to tailor a general strategy to the requirements of particular spatial tasks. The quantitative differences between the predictions of the model and the performance of human participants in the new experiment expose individual differences in sample populations. The model provides a means of accounting for those differences and a framework for understanding how human spatial abilities are applied to naturalistic spatial tasks that involve reasoning with maps.