How Robust is the Influence of Causal Explanation on Clinical Judgments? Assessments in Structured Clinical Interviews

When causal life-event explanations for disorder symptoms are available, clinicians tend to explain away those symptoms (Ahn, Novick, &; Kim, 2003 Ahn, W., Novick, L. R., &; Kim, N. S. (2003). Understanding behavior makes it normal. Psychonomic Bulletin Review, 10(3), 746–752. doi:10.3758/BF03196541[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Meehl, 1973 Meehl, P. E. (1973). Why I do not attend case conferences. In P. Meehl (Ed.), Psychodiagnosis: Selected papers (pp. 225–302). Minneapolis, MN: University of Minnesota Press. [Google Scholar]), eschewing formal diagnostic guidelines such as the DSM-5 (American Psychiatric Association, 2013 American Psychiatric Association [APA]. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.[Crossref] , [Google Scholar]). We asked whether this effect is attenuated in the context of a structured diagnostic clinical interview procedure, which deliberately directs evaluators' attention to symptoms alone, or whether it is robust enough to continue to emerge. Across two experiments, lay evaluators given causal life-event explanations for disordered behaviors gave them lower judgments of abnormality and need for treatment compared to evaluators not given such explanations, regardless of whether they used a structured clinical interview. Thus, causal life-event explanations may have significant impact on clinical evaluations regardless of the mode of assessment. Implications for the clinical utility of structured interviews and the role of life-event context in diagnosis and classification are discussed.     

Child and Adolescent Tobacco and Substance Use within the Context of ADHD: Implications for Prevention and Treatment

Tobacco, alcohol, marijuana, and other forms of substance use among children and adolescents is a significant public health concern. At present, one high-risk population of great concern is those affected with Attention-Deficit/Hyperactivity Disorder (ADHD) and those with subthreshold ADHD-like symptoms. The prevalence of tobacco and substance use is considerable within this population, and ADHD and ADHD-like symptoms often present as comorbid conditions. To further the understanding of this problem, a review is provided of youth tobacco and substance use and their biobehavioral influences in the context of ADHD. Using primary care as an example, opportunities for tobacco and substance use prevention and treatment within this high-risk population are examined.     

Allowing for correlations between correlations in random-effects meta-analysis of correlation matrices

Practical meta-analysis of correlation matrices generally ignores covariances (and hence correlations) between correlation estimates. The authors consider various methods for allowing for covariances, including generalized least squares, maximum marginal likelihood, and Bayesian approaches, illustrated using a 6-dimensional response in a series of psychological studies concerning prediction of exercise behavior change. Quantities of interest include the overall population mean correlation matrix, the contrast between the mean correlations, the predicted correlation matrix in a new study, and the conflict between the existing studies and a new correlation matrix. The authors conclude that accounting for correlations between correlations is unnecessary when interested in individual correlations but potentially important if concerned with a composite measure involving 2 or more correlations. A simulation study indicates the asymptotic normal assumption appears reasonable. Because of potential instability in the generalized least squares methods, they recommend a model-based approach, either the maximum marginal likelihood approach or a full Bayesian analysis.     

An apparatus for studying operant activity of captive coyotes

We describe a portable apparatus designed to examine the free-operant food preferences of captive coyotes in their home kennels. Because leverpressing for food access was the dependent variable, we measured food preference independently of food ingestion. Using successive approximation, we trained 8 out of 19 coyotes (42%) to use the apparatus. This percentage is similar to training rates for dogs. We used fixed and variable ratio schedules of reinforcement to further test 4 of the trained coyotes. All 4 produced response curves similar to those of other species on similar schedules of reinforcement.     

Behaviorally Based Interventions for Teaching Social Interaction Skills to Children with ASD in Inclusive Settings: A Meta-analysis

Behaviorally based interventions have been demonstrated to be effective to teach social interaction skills for children with autism spectrum disorders in general education. However, the overall and moderating effects of these interventions have not been previously investigated in inclusive settings. The goal of this study was to investigate the overall effectiveness and contextual factors that moderate intervention effectiveness in inclusive settings. Findings showed overall high effect size based on studies previously considered of methodological quality in single-case research. Interventions are demonstrated to be highly effective for children aged 2–10 years. While differences were found according to target social skills and behavioral components used, no differential effects were found regarding intervention implementer and peer training. The findings highlight the practical significance of behavioral interventions and guide educators toward more suitable evidence-based practices in inclusive settings.