Using a Training-of-Trainers Approach and Proactive Technical Assistance to Bring Evidence Based Programs to Scale: An Operationalization of the Interactive Systems Framework’s Support System

Bringing evidence based programs to scale was a major initial impetus for the development of the Interactive Systems Framework for Dissemination and Implementation (ISF). The ISF demonstrates the importance of the Support System in facilitating the uptake of innovations in the community (the Delivery System). Two strategies that members of the Support System commonly use are training‐of‐trainers (TOT) models and technical assistance (TA). In this article, we focus on the role of the Support System in bringing evidence‐based programs (EBPs) to scale in the Delivery System using a case example, with special attention on two strategies employed by Support Systems—training‐of‐trainers (TOT) and proactive technical assistance. We then report on findings from a case example from the Promoting Science Based Approaches to Teen Pregnancy Prevention project that furthers our conceptualization of these strategies and the evidence base for them. We also report on the limitations in the literature regarding research on TOTs and proactive TA and provide suggestions for future research on TOTs and proactive TA that will enhance the science and practice of support in the ISF. Special Issue: Advances in Bridging Research and Practice Using the Interactive System Framework for Dissemination and Implementation; Guest Editors: Abraham Wandersman, Paul Flaspohler, Catherine A. Lesesne, Richard Puddy; Action Editor: Emilie Phillips Smith     

Stuttering treatment for a school-age child with Down syndrome: A descriptive case report

BackgroundLittle is known about optimal treatment approaches and stuttering treatment outcomes for children with Down syndrome.Aims and methodThe purpose of this study was to investigate outcomes for a child with Down syndrome who received a combination of fluency shaping therapy and parent delivered contingencies for normally fluent speech, prolonged speech, and stuttered speech.ResultsIn-clinic speech measures obtained at post-treatment and at 4 months follow-up reflected improvements in fluency of 89.0% and 98.6%, respectively. The participant's beyond-clinic follow-up sample reflected an improvement of 95.5%. Following treatment, the participant demonstrated improved self-confidence, self-esteem, and improved participation and functioning at school.ConclusionsFindings suggest that fluency shaping with parental contingencies may be a viable treatment approach to reduce stuttering in children with Down syndrome. Future research using an experimental research design is warranted.Educational objectives: Readers will be able to describe (a) prevalence estimates of stuttering in individuals with Down syndrome, (b) the main components of a fluency shaping program for a child with Down syndrome who stutters and has co-occurring speech and language delays, and (c) speech and parent-, teacher-, and self-report treatment outcomes.     

Personality and Legislative Politics: The Big Five Trait Dimensions Among U.S. State Legislators

The impact of personality traits on people's attitudes and behaviors is widely recognized, yet systematic attention to personality in large‐N research on elected officials has been rare. Among psychologists, five‐factor frameworks that focus on openness to experience, conscientiousness, extraversion, agreeableness, and emotional stability have gained tremendous prominence in the past two decades. Applications of these frameworks to the study of mass political behavior have been highly fruitful, but corresponding applications in the study of legislators have been rare. In an effort to assess the utility of a Big Five approach in the study of legislative politics, this article addresses three questions: whether elected officials will be willing to provide personality self‐assessments, whether any data they do provide will exhibit meaningful variance, and whether the Big Five trait dimensions will correspond with patterns in respondents' attitudes and behaviors. These questions are addressed using data from members of the state legislatures in Arizona, Connecticut, and Maine. Results provide considerable grounds for optimism regarding the likely utility of more extensive applications of the Big Five in research on elected officials.     

Entrepreneurship,professionalism, leadership: A framework and measure for understanding boundaryless careers

We propose a person-centered framework for conceptualizing subjective careers in an increasingly boundaryless work context. Specifically, we argue that entrepreneurship, professionalism, and leadership (EPL) can serve as three key dimensions of subjective career space. We relate this framework to earlier macro-level national and organizational career models proposed by Kanter (1989) and Schein (1978). Our empirical study involving 10,326 Singaporean university students demonstrated that entrepreneurial, professional, and leadership career aspirations (including motivations, efficacies, and intentions) can be measured independently, that these career dimensions are independent of vocational interests, and that they are to some degree viewed as competing career alternatives. We also show that EPL motivation profiles can operationalize the boundaryless and protean career concepts. Individuals concurrently high in entrepreneurial, professional, and leadership career motivations, and those high in entrepreneurial and leadership motivations are highest in boundaryless and self-directed career attitudes, while those primarily motivated for professional careers hold the most traditional career attitudes. We conclude by discussing the potential of the framework for understanding human resource issues at organizational and national levels and for enhancing the study of entrepreneurship, professionalism, and leadership.     

Jandu Yani U (for all families): Tailored Triple P Training and Support Promote Empowerment in Remote Aboriginal Communities

Journal of Child and Family Studies - To enhance the accessibility and acceptability of evidence-based parenting programs in Indigenous communities, there is a need to build a confident and skilled...     

Hierarchical Approximate Bayesian Computation

Approximate Bayesian computation (ABC) is a powerful technique for estimating the posterior distribution of a model’s parameters. It is especially important when the model to be fit has no explicit likelihood function, which happens for computational (or simulation-based) models such as those that are popular in cognitive neuroscience and other areas in psychology. However, ABC is usually applied only to models with few parameters. Extending ABC to hierarchical models has been difficult because high-dimensional hierarchical models add computational complexity that conventional ABC cannot accommodate. In this paper, we summarize some current approaches for performing hierarchical ABC and introduce a new algorithm called Gibbs ABC. This new algorithm incorporates well-known Bayesian techniques to improve the accuracy and efficiency of the ABC approach for estimation of hierarchical models. We then use the Gibbs ABC algorithm to estimate the parameters of two models of signal detection, one with and one without a tractable likelihood function.