BEHAVIORAL CUSPS: A DEVELOPMENTAL AND PRAGMATIC CONCEPT FOR BEHAVIOR ANALYSIS

Most concepts of development explain certain behavior changes as products or markers of the invariable succession of emerging periods, stages, refinements, or achievements that define and order much of an individual's life. A different but comparable concept can be derived from the most basic mechanisms of behavior analysis, which are its environmental contingencies, and from its most basic strategy, which is to study behavior as its subject matter. From a behavior-analytic perspective, the most fundamental developmental questions are (a) whether these contingencies vary in any systematic way across the life span, and thus make behavior change in a correspondingly systematic way; and (b) whether some of these contingencies and their changes have more far-reaching consequences than others, in terms of the importance to the organism and others, of the behavior classes they change. Certain behavior changes open the door to especially broad or especially important further behavior change, leading to the concept of the behavioral cusp. A behavioral cusp, then, is any behavior change that brings the organism's behavior into contact with new contingencies that have even more far-reaching consequences. Of all the environmental contingencies that change or maintain behavior, those that accomplish cusps are developmental. Behavior change remains the fundamental phenomenon of development for a behavior-analytic view; a cusp is a special instance of behavior change, a change crucial to what can come next.     

Evidence that implementation intentions reduce drivers’ use of mobile phones while driving

Implementation intentions are IF-THEN plans that have the potential to reduce mobile phone use while driving and thus contribute towards the prevention of road traffic crashes. We tested whether an intervention, designed to promote the formation of implementation intentions, could reduce drivers’ use of mobile phones. A randomized controlled design was used. The participants (N = 136) were randomised to an implementation intention or a control condition. Self-report questionnaires were administered to all participants at both pre- and one-month post-intervention to measure the use of mobile phones while driving, goal intentions and the theoretically derived motivational pre-cursors of goal intentions (attitudes, subjective norm and perceived behavioural control). Immediately following the pre-intervention questionnaire, the participants in the implementation intention condition (n = 67) were given a volitional help sheet, which asked them to form implementation intentions by specifying target driving situations that tempted them the most to use a mobile phone and linking them with goal-directed responses that could be used to resist the temptation. The participants in the control condition (n = 69) were asked to specify target situations that tempted them the most to use a mobile phone while driving and to generally try to avoid using a mobile phone in those situations. One-month post-intervention, the participants in the implementation intention condition reported using a mobile phone less often while driving in their specified target driving situations than did the participants in the control condition. As expected, no differences were found between the conditions in the reported frequency of mobile phone use in unspecified driving situations, goal intentions or any motivational pre-cursor of goal intentions. The implementation intention intervention that was tested in this study is a potentially effective tool for reducing mobile phone use while driving in target driving situations, where behaviour-change is most needed.     

Practical Implementation Science: Developing and Piloting the Quality Implementation Tool

According to the Interactive Systems Framework for Dissemination and Implementation, implementation is a major mechanism and concern in bridging research and practice. The growing number of implementation frameworks need to be synthesized and translated so that the science and practice of quality implementation can be furthered. In this article, we: (1) use the synthesis of frameworks developed by Meyers et al. (Am J Commun Psychol, 2012) and translate the results into a practical implementation science tool to use for improving quality of implementation (i.e., the Quality Implementation Tool; QIT), and (2) present some of the benefits and limitations of the tool by describing how the QIT was implemented in two different pilot projects. We discuss how the QIT can be used to guide collaborative planning, monitoring, and evaluation of how an innovation is implemented.     

Using the Interactive Systems Framework in Understanding the Relation Between General Program Capacity and Implementation in Afterschool Settings

The present study uses the Interactive Systems Framework (ISF) to understand how general capacity influences the implementation of prevention programs in afterschool settings. Eight afterschool sites received the Good Behavior Game (GBG) intervention, a program designed to foster supportive behavioral management and positive youth behavior. In line with the Prevention Support System component of ISF, the intervention afterschool staff were trained and received weekly on-site support from coaches in implementing the GBG. It was found that GBG implementation scores were greatest in afterschool programs that rated high on both organizational- and community-levels of general capacity; high scores on only one level of general capacity resulted in lower implementation scores. Thus, afterschool sites that were more organized, maintained adequate facilities, and developed strong linkages to individuals or organizations in the community scored highest in implementation fidelity and quality. This study highlights the importance of considering interactions among multiple levels of general capacity in efforts to promote evidence-based practices in afterschool settings. Caution should be taken in generalizing findings due to the small sample in this study.     

Supporting Implementation: The Role of Community Development Teams to Build Infrastructure

Evidence-based methods for assisting consumers, such as counties, in successfully implementing practices are lacking in the field of implementation science. To fill this gap, the Community Development Teams (CDT) approach was developed to assist counties in developing peer networks focused on problem-solving and resource sharing to enhance their possibility of successful implementation. The CDT is an interactive, solution-focused approach that shares many elements of the Interactive Systems Framework (ISF) for Dissemination and Implementation. An ongoing randomized implementation trial of Multidimensional Treatment Foster Care (MTFC) was designed to test the hypothesis that such interactive implementation methods are more successful at helping counties achieve successful and sustainable MTFC programs than standard individualized implementation methods. Using the Stages of Implementation Completion measure, developed for this study, the potential benefit of these interactive methods is examined at different stages of the implementation process ranging from initial engagement to program competency.     

汉字字谜任务中限制解除的电生理机制

尽管“限制解除”作为一种顿悟问题解决的关键途径早在上世纪90年代就被德国心理学者Knoblich及其同事提出, 但学界对于“限制解除”所包含的信息加工程序、阶段以及相应的脑认知过程却并未有进一步的探讨和细化。本文从“限制解除”的理论角度出发, 以答案提示催化的“诱发式”字谜解决顿悟为例, 首次提出了一个关于“诱发式”限制解除过程的信息加工阶段初步构想。该构想认为：顿悟问题解决中的“诱发式”限制解除过程包含3个不同的信息加工阶段。第一阶段是以早期注意参与为特征的冲突信息的预警或预处理过程; 第二阶段是以新旧思路交替为特征的关键限制解除过程, 鉴于这个过程以基本问题表征空间的拓展为特征, 因此我们推测右脑的活动很有可能在这个过程中占据主导地位; 第三阶段是以自上而下的控制加工为特征的重新整合过程。脑电研究数据部分地支持了本研究的假设, 发现了上述第一阶段在脑电变化上体现为顿悟性限制解除所伴随的N100/P200复合体; 第二阶段体现为P300在300~400 ms的时间窗内的地形图分布及差异波; 而第三阶段则体现为N400在400~800 ms内的变化。脑电结果还证实：在第二阶段也就是限制解除的关键阶段, 右脑的活动明显强于左脑, 提示基本问题空间的拓展可能更多地依赖于右脑, 而在第三阶段也就是信息的重新整合阶段则表现出相反的半球偏侧化倾向。上述发现有可能为进一步认识和理解顿悟中“限制解除”的脑认知机理提供了新的见解。     

Six-Year Sustainability of Evidence-Based Intervention Implementation Quality by Community-University Partnerships: The PROSPER Study

There is a knowledge gap concerning how well community-based teams fare in implementing evidence-based interventions (EBIs) over many years, a gap that is important to fill because sustained high quality EBI implementation is essential to public health impact. The current study addresses this gap by evaluating data from PROSPER, a community-university intervention partnership model, in the context of a randomized-control trial of 28 communities. Specifically, it examines community teams' sustainability of implementation quality on a range of measures, for both family-focused and school-based EBIs. Average adherence ratings approached 90% for family-focused and school-based EBIs, across as many as 6 implementation cohorts. Additional indicators of implementation quality similarly showed consistently positive results. Correlations of the implementation quality outcomes with a number of characteristics of community teams and intervention leaders were calculated to explore their potential relevance to sustained implementation quality. Though several relationships attained statistical significance at particular points in time, none were stable across cohorts. The role of PROSPER's continuous, proactive technical assistance in producing the positive results is discussed.     

Mobilizing Communities to Implement Evidence-Based Practices in Youth Violence Prevention: The State of the Art

Community mobilization can increase the effective implementation of evidence-based practices (EBPs) in youth violence prevention. These strategies bring together people and organizations in a community to try to solve or reduce a problem. They help communities address the challenges of identifying EBPs, disseminating them to local decision-makers, and then implementing and sustaining them if they are successful. Science-based systems for implementing EBPs such as PROSPER and Communities That Care can help to integrate this complex work in communities. Further insight about implementing EBPs in youth violence prevention is being developed through the CDC-funded Academic Centers for Excellence in Youth Violence Prevention. Community mobilization approaches for seven of these programs are discussed, highlighting successful approaches and challenges encountered.