Specificity in practice benefits learning in novice models and variability in demonstration benefits observational practice

Considerable research has shown that both demonstration and verbal instruction can facilitate learning of a motor task in inexperienced individuals. In the current study, verbal instructions were used as a means to reduce the discovery learning process and control the amount of trial-to-trial variability in demonstrations. The task required models to learn to trace a pair of circles with a 90°-relative phase pattern between the arms. Verbal instructions directed one group of models toward a single strategy, and this group improved at a faster rate and performed better in a 24-h retention test compared to a group of models in a discovery learning context. The discovery models utilized multiple strategies throughout the practice. Each model was watched for 2 days by an observer, who was instructed that they would have to produce the 90°-relative phase pattern on day 3. Observers, who watched the discovery models, performed better than those who watched the single strategy models. The results support two primary conclusions. First, trial-to-trial variability associated with strategy selection processes in a model benefits an observer by facilitating perceptual discrimination processes that may play a key role in action generation. Second, verbal instructions that reduce discovery learning during physical practice benefit acquisition and retention performance when the task has multiple strategies wherein no one strategy guarantees the best performance outcome.     

Health Anxiety: Latent Structure and Associations with Anxiety-related Psychological Processes in a Student Sample

Although currently classified as a somatoform disorder, cognitive-behavioral models conceptualize hypochondriasis (HC) as a severe form of health anxiety. The Short Health Anxiety Inventory (SHAI) is a measure derived from this conceptualization that measures health anxiety symptoms across the range of severity. Previous studies have reported inconsistent findings regarding this measure’s factor structure, but these studies employed factor analytic tools that did not account for the categorical nature of SHAI items. The present psychometric study was designed to address these inconsistencies using categorical factor analysis. Using data from a large student sample we found that the SHAI had two factors: Illness Likelihood and Illness Severity. We also examined the relationship between these domains and cognitive variables associated with other anxiety disorders. Results suggested that the psychological processes present in obsessive-compulsive disorder and panic disorder are also associated with health anxiety. Implications for the conceptualization and classification of severe health anxiety are discussed.     

The relationship between religion and thought-action fusion: Use of an in vivo paradigm

Research has demonstrated that higher levels of religiosity are positively correlated with thought-action fusion (TAF), a set of cognitive biases found to be associated with obsessive-compulsive symptoms. However, previous studies have exclusively relied on a nomothetic approach to measuring TAF using a single self-report instrument, the thought-action fusion scale. The current study examined the relationship between religiosity and TAF using an in vivo behaviorally-based assessment in which participants thought about and wrote down thoughts of negative events involving loved ones. Forty-three highly religious Protestant Christians were compared to 30 Atheists/Agnostics on their in vivo ratings of anxiety, estimates of likelihood, and moral wrongness related to the negative thoughts. Results indicated that compared to the non-religious participants, those who were highly religious believed that writing and thinking about the negative events was more morally wrong and increased the likelihood of the event. Results are discussed in terms of the potential relationship between certain religious teachings and TAF-related beliefs about the importance, significance, and influence of thoughts.     

The relationship between obsessive beliefs and symptom dimensions in obsessive-compulsive disorder

Research findings on the specific relationships between beliefs and OCD symptoms have been inconsistent, yet the existing studies vary in their approach to measuring the highly heterogeneous symptoms of this disorder. The Dimensional Obsessive-Compulsive Scale (DOCS) is a new measure that allows for the assessment of OCD symptom dimensions, rather than types of obsessions and compulsions per se. The present study examined the relationship between OCD symptom dimensions and dysfunctional (obsessive) beliefs believed to underlie these symptom dimensions using a large clinical sample of treatment-seeking adults with OCD. Results revealed that certain obsessive beliefs predicted certain OCD symptom dimensions in a manner consistent with cognitive-behavioral conceptual models. Specifically, contamination symptoms were predicted by responsibility/threat estimation beliefs, symmetry symptoms were predicted by perfectionism/certainty beliefs, unacceptable thoughts were predicted by importance/control of thoughts beliefs and symptoms related to being responsible for harm were predicted by responsibility/threat estimation beliefs. Implications for cognitive conceptualizations of OCD symptom dimensions are discussed.     

Latency‐based functional analysis in schools: Correspondence and differences across environments

Functional analyses were conducted for problem behavior of three girls with intellectual and developmental disabilities. Analyses conducted under analog conditions measured rate and latency. Latency‐based functional analyses were conducted in a classroom setting in multielement and reversal designs. Correspondence was identified between the standard functional analysis and the two latency analyses for one participant. Partial correspondence was found with the other two participants. These results are discussed in light of research on adaptions for functional analysis in classroom settings.     

An Intensive Outpatient Program for Veterans With Posttraumatic Stress Disorder and Traumatic Brain Injury

Post-9/11 service members may return from military service with a complicated set of symptoms and conditions, such as posttraumatic stress disorder (PTSD), depression, substance misuse, and traumatic brain injury (TBI), that interfere with reintegration and impair functioning. Although evidence-based treatments that facilitate recovery exist, their successful delivery at a sufficient dose is limited. Barriers to accessing treatment combined with challenges compiling a comprehensive treatment team further delay delivery of effective evidence-based care for PTSD, TBI, and co-occurring mental health conditions. This paper describes the development of a comprehensive, multidisciplinary, 2-week intensive day program for post-9/11 veterans with complex mental health concerns. The treatment program combines skill building groups, family education, and integrative health approaches with evidence-based individual PTSD or TBI care. Initial results from the first 132 participants were notable for a 97% completion rate, as well as statistically significant and clinically meaningful reductions in PTSD, neurobehavioral, and depression symptom severity for the 107 veterans who completed the PTSD track and the 21 who completed the TBI track. These data suggest the intensive program approach is an effective, well-tolerated model of treatment for post-9/11 veterans with PTSD and/or TBI. Future controlled studies should examine the effectiveness of this intensive model compared to standard evidence-based therapy delivery, as well as longitudinal outcomes.     

Going beyond the evidence: abstract laws and preschoolers' responses to anomalous data

Given minimal evidence about novel objects, children might learn only relationships among the specific entities, or they might make a more abstract inference, positing classes of entities and the relations that hold among those classes. Here we show that preschoolers (mean: 57 months) can use sparse data about perceptually unique objects to infer abstract physical causal laws. These newly inferred abstract laws were robust to potentially anomalous evidence; in the face of apparent counter-evidence, children (correctly) posited the existence of an unobserved object rather than revise the abstract laws. This suggests that children's ability to learn robust, abstract principles does not depend on extensive prior experience but can occur rapidly, on-line, and in tandem with inferences about specific relations.     

Initial Reliability and Validity of the Life Satisfaction Scale for Problem Youth in a Sample of Drug Abusing and Conduct Disordered Youth

Responses to Life Satisfaction Scale for Problem Youth (LSSPY) items were examined in a sample of 193 substance abusing and conduct disordered adolescents. In responding to the LSSPY, youth endorse their percentage of happiness (0 to 100%) in twelve domains (i.e., friendships, family, school, employment/work, fun activities, appearance, sex life/dating, use of drugs, use of alcohol, money/material possessions, transportation, control of one's life). Results indicated that the LSSPY yielded three factor structures (i.e., Social Satisfaction, External Obligations Satisfaction, Substance Use Satisfaction), demonstrated good initial psychometric properties, and appears to be a useful instrument in the evaluation of treatment outcome in problem youth. Males were more satisfied in the Social and External Obligations domains than females, although no gender differences were indicated in Substance Use Satisfaction. Caucasian, African-American, and Hispanic youths responded to LSSPY items similarly. Future directions are discussed in light of these results.     

The importance of shared environmental influences in explaining the overlap between mother's parenting and sibling relationships: reply to Neale (1999)

This article addresses concerns raised by M. C. Neale (1999) in his commentary on the D. A. Bussell et al. (1999) Nonshared Environment in Adolescent Development (NEAD) study. These concerns fall into two categories: (a) model assumptions and sample design and (b) testing of alternative models. The validity of the assumptions of quantitative genetic models is a concern for all researchers in this area. Discussion of those assumptions in this reply is brief and focuses on those most relevant to the NEAD sample. The two alternative models proposed by Neale were designed to provide alternatives to the large shared environmental effect found in the original report of Bussell et al. Because these alternative models did not provide a better fit, the appropriateness of Bussell et al.'s basic model and the importance of shared environmental influences for explaining the association among family subsystems are supported.