Perspectives on Systems Change Among Local Change Agents: A Comparative Study

Community organizers and activists draw on multiple traditions of community building and collective action in attempts to galvanize change. The diversity of perspectives on social change processes indicates corresponding differences in perspectives on systems and what is required to change them. Twenty‐two in‐depth interviews with community organizers and activists in the Midwestern USA were conducted to identify differences in perspectives on systems change efforts. Four models used by organizers were identified: action/issue‐centric, identity‐centric, relationship‐centric, and organizing‐development. Strategies for recruitment, issue selection, leadership determination, and action were compared across models. Analyses revealed that some models might be better suited to action on certain issues (e.g. identity‐centric models when organizing around homelessness), whereas others may have advantages for use in certain settings (e.g. relationship‐centric models in congregations). These findings suggest that practitioners and scholars should pay close attention to contextual factors and focal issues when determining strategies for creating systems change. Copyright © 2014 John Wiley & Sons, Ltd.     

A Comparison of Taped-Problem Interventions to Increase Math Fact Fluency: Does the Length of Time Delay Affect Student Learning Rates?

An alternating treatments design with a control condition was used to evaluate and compare the effects of two taped-problem interventions on addition fact fluency. Both taped-problem interventions were identical with the exception of the time delay between the auditory cue of the problem and the answer. One condition used a 2-s delay and the other condition used no delay. Results showed that both taped-problem conditions showed growth in student digits correct per minute scores and that the no-delay condition was slightly more efficient as the taped-problem no-delay procedure took approximately 33% less time. Discussion focuses on using comparative intervention designs to detect nuances in procedures to improve our understanding of math fact interventions that result in the highest learning rates.     

Bringing out the agreeableness in everyone: Using a cognitive self-regulation model to reduce aggression

Research has shown that those individuals high in agreeableness recruit helpful thoughts in hostile contexts, presumably in the service of controlling aggressive behavior. The present experiment follows from such work, but importantly does so in a manner seeking to support causal conclusions. Participants were randomly assigned to an experimental training condition, in which hostile prime words were followed by helpful target words, or to a control condition that did not involve such pairings. Those assigned to the experimental condition subsequently exhibited lower levels of aggression in a laboratory task. Additional considerations and findings support the potential involvement of self-regulation processes. In general terms, the experiment reveals that a brief cognitive manipulation targeting processes thought to underlie aggression control was in fact causally effective in reducing subsequent levels of aggressive behavior.     

Emotion Regulation in Youth with Emotional Disorders: Implications for a Unified Treatment Approach

Given the relationship between internalizing disorders and deficits in emotion regulation in youth, the emotion science literature has suggested several avenues for increasing the efficacy of interventions for youth presenting with anxiety and depression. These possibilities include the identification and addition of emotion-regulation skills to existing treatment packages and broadening the scope of those emotions addressed in cognitive-behavioral treatments. Current emotion-focused interventions designed to meet one or both of these goals are discussed, and the developmental influences relevant to the selection of emotion-focused treatment goals are explored using the framework of a modal model of emotion regulation. These various lines of evidence are woven together to support the utility of a novel emotion-focused, cognitive-behavioral intervention, the Unified Protocol for the Treatment of Emotional Disorders in Youth, a transdiagnostic treatment protocol that aims to treat the range of emotional disorders (i.e., anxiety and depression) simultaneously. Avenues for future directions in treatment outcome and assessment of emotion regulation are also discussed.     

Reproducibility of functional network metrics and network structure: A comparison of task-related BOLD, resting ASL with BOLD contrast, and resting cerebral blood flow

Network analysis is an emerging approach to functional connectivity in which the brain is construed as a graph and its connectivity and information processing estimated by mathematical characterizations of graphs. There has been little to no work examining the reproducibility of network metrics derived from different types of functional magnetic resonance imaging (fMRI) data (e.g., resting vs. task related, or pulse sequences other than standard blood oxygen level dependent [BOLD] data) or of measures of network structure at levels other than summary statistics. Here, we take up these questions, comparing the reproducibility of graphs derived from resting arterial spin-labeling perfusion fMRI with those derived from BOLD scans collected while the participant was performing a task. We also examine the reproducibility of the anatomical connectivity implied by the graph by investigating test–retest consistency of the graphs’ edges. We compare two measures of graph-edge consistency both within versus between subjects and across data types. We find a dissociation in the reproducibility of network metrics, with metrics from resting data most reproducible at lower frequencies and metrics from task-related data most reproducible at higher frequencies; that same dissociation is not recapitulated, however, in network structure, for which the task-related data are most consistent at all frequencies. Implications for the practice of network analysis are discussed.