A confirmatory factor analysis on the DSM-IV ADHD and ODD symptoms: what is the best model for the organization of these symptoms?

Confirmatory factor analysis (CFA) was used to evaluate five different models for the organization of the DSM-IV ADHD and oppositional defiant disorder (ODD) symptoms (Model 1: a single factor model; Model 2: an ADHD and ODD two factor model; Model 3a: an inattention (INA), hyperactivity/impulsivity (HYP/IMP), and ODD three factor model; Model 3b: an INA, HYP/IMP, and ODD three factor model where the three IMP symptoms cross-load on the ODD factor; Model 4: an INA, HYP, IMP, and ODD four factor model). To evaluate these models, maternal ratings of ADHD and ODD symptoms were obtained at outpatient pediatric clinics on 742 children not in treatment and 91 children in treatment for ADHD. Model 3a resulted in a good fit as well as a significantly better fit than Model 2. Model 3a was also equivalent across treatment status, gender, and age groupings for the most part. Though Models 3b and 4 provided a statistically better fit than Model 3a, the improvement in fit was small and other model selection criteria argued against these more complex models.     

The role of transcranial magnetic stimulation (TMS) in studies of vision, attention and cognition

Transcranial magnetic stimulation (TMS) can be conceptualized as a virtual lesion technique, capable of disrupting organized cortical activity, transiently and reversibly. The technique combines good spatial and temporal resolution and, moreover, because it represents an interference technique, can be said to have excellent functional resolution. The following is a review and discussion of the contribution which TMS has made to the study of vision, attention, development and plasticity and speech and language.     

Location serves as a conditional cue when harp seals (Pagophilus groenlandicus) solve object discrimination reversal problems.

We examined the capacity of harp seals (Pagophilus groenlandicus) to use spatial context (i.e., their tank) as a conditional cue to solve a two-choice visual discrimination reversal task. Seals were trained to touch one of two 3D objects. Two of four seals experienced a context shift that coincided with each of five reversals in the reward value of the two stimuli (i.e., a reversal of S+ and S-); these seals solved the six discriminations in significantly fewer trials than did seals that did not experience a context shift with the contingency reversal. Thus, harp seals use contextual cues when encoding information. The findings are discussed in terms of harp seals' adaptations to the pack-ice environment, the constraints of the learning tasks, and the nature of the subjects that were raised in captivity.     

Traumatic loss and major disasters: strengthening family and community resilience

This article presents the core principles and value of a family and community resilience-oriented approach to recovery from traumatic loss when catastrophic events occur. In contrast to individually based, symptom-focused approaches to trauma recovery, this multisystemic practice approach contextualizes the distress in the traumatic experience and taps strengths and resources in relational networks to foster healing and posttraumatic growth. The intertwining of trauma and traumatic losses is discussed. Key family and social processes in risk and resilience in traumatic loss situations are outlined. Case illustrations, model programs, and intervention guidelines are described in situations of community violence and major disasters to suggest ways to foster family and community resilience.     

Evolutionary models of color categorization based on discrimination

Specifying the factors that contribute to the universality of color categorization across individuals and cultures is a longstanding and still controversial issue in psychology, linguistics, and anthropology. This article approaches this issue through the simulated evolution of color lexicons. It is shown that the combination of a minimal perceptual psychology of discrimination, simple pragmatic constraints involving communication, and simple learning rules is enough to evolve color-naming systems. Implications of this result for psychological theories of color categorization and the evolution of color-naming systems in human societies are discussed.     

Length of Time to Resolve Criminal Charges of Child Sexual Abuse: A Three-County Case Study

The present study sought to examine the court culture of three Oregon counties and their timelines for resolving felony child sexual abuse cases. Specifically, we examined (a) case outcomes, churning (i.e., the extent to which four court events were rescheduled), the length of time to reach a criminal case resolution, and how this length of time compared to that for felonies generally; (b) whether mandatory minimum sentences affected resolution timeliness; and (c) key stakeholders’ perceptions about their local court culture. Data included retrospective case-file abstraction (N = 532) on all felony child sex crimes for a 2-year period and interviews with legal professionals (N = 23). Across all three counties, a minority of child sexual abuse cases (18% to 47%) were resolved within the target timeframe of 4 months. In contrast, most felonies (65% to 77%) were resolved within this timeframe. The rescheduling of trials and the requirement of mandatory minimum sentences for some felony child sexual abuse crimes increased the time until case resolution. Results suggest that court cultures that are hierarchical and cooperative may lead to longer case resolution times than court cultures that are self-managing or autonomous. Implications of these results and other results are discussed. Copyright © 2015 John Wiley & Sons, Ltd.     

Object‐Label‐Order Effect When Learning From an Inconsistent Source

Learning in natural environments is often characterized by a degree of inconsistency from an input. These inconsistencies occur, for example, when learning from more than one source, or when the presence of environmental noise distorts incoming information; as a result, the task faced by the learner becomes ambiguous. In this study, we investigate how learners handle such situations. We focus on the setting where a learner receives and processes a sequence of utterances to master associations between objects and their labels, where the source is inconsistent by design: It uses both “correct” and “incorrect” object‐label pairings. We hypothesize that depending on the order of presentation, the result of the learning may be different. To this end, we consider two types of symbolic learning procedures: the Object‐Label (OL) and the Label‐Object (LO) process. In the OL process, the learner is first exposed to the object, and then the label. In the LO process, this order is reversed. We perform experiments with human subjects, and also construct a computational model that is based on a nonlinear stochastic reinforcement learning algorithm. It is observed experimentally that OL learners are generally better at processing inconsistent input compared to LO learners. We show that the patterns observed in the learning experiments can be reproduced in the simulations if the model includes (a) an ability to regularize the input (and also to do the opposite, i.e., undermatch) and (b) an ability to take account of implicit negative evidence (i.e., interactions among different objects/labels). The model suggests that while both types of learners utilize implicit negative evidence in a similar way, there is a difference in regularization patterns: OL learners regularize the input, whereas LO learners undermatch. As a result, OL learners are able to form a more consistent system of image‐utterance associations, despite the ambiguous learning task.