An evaluation of stimulant medication on the reinforcing effects of play

Although a vast literature has indicated that stimulant medications are effective for reducing inappropriate behavior in children with attention deficit hyperactivity disorder (ADHD), the effects of stimulant medication on ancillary behaviors (e.g., play) have yet to be investigated with the same rigor. We used a reinforcer assessment procedure to evaluate the effects of medication on the play and social behavior of 5 preschool children who had been diagnosed with ADHD. Conditions included (a) social reinforcement (i.e., playing with friends), (b) alone play, and (c) quiet time (i.e., resting). Results indicated that 1 of the 5 participants selected fewer social reinforcers and more nonsocial reinforcers (alone play or quiet time) while on medication. The findings indicate that the reinforcer assessment procedure may be a viable way to evaluate medication effects on an ongoing basis and to inform treatment decisions.     

Grasp preparation improves change detection for congruent objects

A series of experiments provided converging support for the hypothesis that action preparation biases selective attention to action-congruent object features. When visual transients are masked in so-called change-blindness scenes, viewers are blind to substantial changes between 2 otherwise identical pictures that flick back and forth. The authors report data in which participants planned a grasp prior to the onset of a change-blindness scene in which 1 of 12 objects changed identity. Change blindness was substantially reduced for grasp-congruent objects (e.g., planning a whole-hand grasp reduced change blindness to a changing apple). A series of follow-up experiments ruled out an alternative explanation that this reduction had resulted from a labeling or strategizing of responses and provided converging support that the effect genuinely arose from grasp planning.     

What can autism and dyslexia tell us about intelligence?

This paper argues that understanding developmental disorders requires developing theories and models that explicitly represent the role of general intelligence in the cognitive phenotype of the disorder. In the case of autism it is argued that the low-IQ scores of people with autism are not likely to be due to a deficit in the cognitive process that is arguably the major cause of mental retardation - namely, speed of processing - but rather low IQ reflects the pervasive and cascading effects of the deficit in the information-processing module that causes autism. In the case of dyslexia, two radically different models of reading disorder (ability = disability and a modular deficit model) are likely to be influenced by the effect of general intelligence on reading performance in ways that will remain unclear without an explicit model of how general intelligence influences reading.     

A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling

Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the behavioral, social, and medical sciences. They are generally treated as two unrelated topics in the literature. The present article proposes a model to integrate fixed-, random-, and mixed-effects meta-analyses into the SEM framework. By applying an appropriate transformation on the data, studies in a meta-analysis can be analyzed as subjects in a structural equation model. This article also highlights some practical benefits of using the SEM approach to conduct a meta-analysis. Specifically, the SEM-based meta-analysis can be used to handle missing covariates, to quantify the heterogeneity of effect sizes, and to address the heterogeneity of effect sizes with mixture models. Examples are used to illustrate the equivalence between the conventional meta-analysis and the SEM-based meta-analysis. Future directions on and issues related to the SEM-based meta-analysis are discussed.     

Lessons From Markey et al. (2015) and Bushman et al. (2015): Sensationalism and Integrity in Media Research

This article presents a response to the comment by B. J. Bushman, D. Romer, and P. E. Jamieson (2015). This reply addresses 2 issues raised by the commenters. First, they claim they and others have not made sensationalistic statements linking violent media to horrific acts of real‐world violence. In response, we supply numerous examples of sensationalistic statements made by them and others. Second, they claim they did not expect violence in films to be related to violent behavior among adults, but only among youths. However, by examining homicide arrests and homicide gun mortality rates among youths, we found that as films have become increasingly violent over time, both homicide arrests and gun‐related homicides have tended to decrease among this age group.     

California's Suicide Decline, 1970–1990

From 1970 to 1990 California experienced a 32% decline in suicide, which was particularly pronounced among women, non-whites, the young, and urban dwellers. Suicide declines of over 50% were recorded in San Francisco and Los Angeles, and large decreases occurred in other coastal counties. Additionally, California was the only one of 51 states to show a consistent decline in teenage and young-adult suicide (accompanied by an 88% decrease in teenage drug and other poisoning deaths). Initial investigation of death certification, accident and homicide trends, economic measures, and prevention efforts did not produce an explanation for a suicide decrease of California's magnitude. However, the state does display anomalous trends in certain social measures (reduced divorce, rising non-White population, and rising homicide) that point to multifactorial hypotheses including demographic changes and changed attitudes toward violence. Review of the accuracy of past suicide certification procedures nationally is also indicated.