Textbooks in Accredited Marriage and Family Therapy Programs

Although choices of required textbooks are important decisions in developing a course curriculum, faculty in marriage and family therapy training programs have few convenient resources to guide curriculum development. This article presents results of a survey of textbook selections of accredited marriage and family therapy programs within a regional affiliate of AAMFT. The five programs surveyed listed 108 different titles used in their curriculum. Only 12 texts were used by two programs, and only one text was used by more than two programs. This article presents the textbook selections by the six curricular areas of COAMFTE accreditation standards. The wide variety of textbooks used by programs leads us to conclude that no consensus exists about what textbooks best represent the core knowledge of marriage and family therapy. The body of knowledge taught in accredited marriage and family training programs reflects a distinct and autonomous body of knowledge.     

工作嵌入的影响结果及其理论解释

近年来, 工作嵌入(Job embeddedness)作为解释员工离职和留职的新视角, 逐渐受到理论界与实务界的广泛关注和探讨。根据内容分析法(Content analysis), 系统梳理了国内外176篇工作嵌入相关文献, 分别从研究视角、内容分析和发展方向三个方面评述工作嵌入的影响结果。基于此, 总结出6种理论视角：资源保存理论、社会资本理论、计划行为理论、工作-角色依附理论、未来时间透视视角和传染过程视角。以内容分析的方式呈现关于工作嵌入研究的发展趋势和不同视角下工作嵌入影响结果的具体研究情况。未来研究应进一步构建团队工作嵌入理论模型、聚焦跨文化比较下工作嵌入的溢出效应、关注工作嵌入的双刃剑效应以及突出子维度差异化作用。     

An Exploration of Johnson's Sense of ‘Argument’

This essay attempts to give definitions and identity conditions for the two predominant senses of Argument currently in use, the one involving reasons for a conclusion and the other denoting an expressed disagreement with ensuing verbal behaviour by two parties. I see Johnson's new concept of Argument, as developed in his book Manifest Rationality, as a hybrid of the two common senses of Argument, and, accordingly, I try to define and give the identity conditions of Johnson-arguments. Finally, I disagree with Johnson on the nature of the definition he thinks he has proposed, and I conclude with observations suggesting that his logical perspective has dialectical and rhetorical components.     

Towards a research programme for ethics and technology

In this editorial contribution, two issues relevant to the question, what should be at the top of the research agenda for ethics and technology, are identified and discussed. Firstly: can, and do, engineers make a difference to the degree to which technology leads to morally desirable outcomes? What role does professional autonomy play here, and what are its limits? And secondly, what should be the scope of engineers' responsibility; that is to say, on which issues are they, as engineers, morally obliged to reflect? The research agendas proposed by the authors contributing to this special section, implicitly, give different answers to these questions. We suggest that an explicit discussion of these issues would greatly help in constructing a common research agenda.     

Consumer decisions in relationships

Most research on consumer choice assumes that decisions are usually made by individuals, and that these decisions are based on an individual's personal attitudes, beliefs, and preferences. Yet, much consumer behavior—from joint decisions to individual choices—is directly or indirectly shaped by people with whom we have some relationship. In this target article, we examine how each member in a relationship can affect how consumer decisions are made. After reviewing foundational work in the area, we introduce a powerful and statistically sophisticated methodology to study decisions within relationships—a dyadic framework of decision-making. We then discuss how the study of consumer decisions in relationships can be informed by different theories in the relationships field, including attachment, interdependence, social power, communal/exchange orientations, relationship norms, and evolutionary principles. By building on the seminal foundations of prior joint-decision making research with theories and methods from contemporary relationship science, we hope to facilitate the integration of the consumer and relationships literature to better understand and generate novel hypotheses about consumer decisions in relationships.     

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     

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.     

Prayer as a cause of recovery from illness

This research aimed to examine the developmental trajectory of the beliefs about the power of prayer to aide recovery from illness. One hundred and sixty children and young adults divided in four age groups participated in the study. Participants were interviewed with vignettes presenting two sick individuals who differed in terms of prayers that they received from their friends in order to recover from their illness. The results showed that children and pre-adolescents strongly believe in the power of prayer to recover from illness while only about half of the university students share this belief. Thus, contrary to the framework theory approach, children, adolescents, and young adults did not replace these beliefs (as naive explanations), with the scientific explanations. Instead, they continue to hold these beliefs in parallel to their scientific explanations.     

A method in modeling interactive pedestrian crossing and driver yielding decisions during their interactions at intersections

Investigating pedestrian crossing and driver yielding decisions should be an important focus considering the high risks of pedestrians in exposed to motorized traffic. Limitations, however, exist in previous studies – variables considered previously have been limited; how their behavior affect each other (defined as interactive impacts) were not sufficiently considered. This paper aims to provide a methodological approach for pedestrian crossing and driver yielding decisions during their interactions, considering of different variable types including interactive impact variables, traffic condition variables, road design variables, and environment variables. A Distance-Velocity (DV) framework proposed in an earlier study is introduced for definitions and concepts in studying pedestrian-vehicle interactions. Logistic regression, support vector machines, neural networks and random forests, are introduced as candidate models. A case study involving six crosswalk locations is conducted, focusing on interactions between pedestrians and right-turn vehicles. The proposed methodological approach is applied, with the performance of the four machine learning methods compared in terms of model generalization and confusion matrix. The model with the best performance is further compared to the typical gap-based model. Results show that random forest and logistic regression models performed the best in modeling pedestrian crossing and driver yielding decisions respective, in terms of model generalization. Besides, the DV-based modeling method (average accuracy of over 90% for pedestrians and 80% for drivers) outperformed the traditional gap-based method in all test seeds. As a key finding, interactive impacts from each other (the pedestrian and the driver) act as a key contributing variable on their decisions.     

Behavioral science integration: A practical framework of multi-level converging evidence for behavioral science theories

Several frameworks exist to help science in organizing known information, connecting previously disparate phenomena, promoting understanding, and identifying gaps in knowledge. This paper integrates previous frameworks that have been used in the behavioral sciences to produce a more comprehensive, specific, and complete framework, consonant with the process of scientific discovery as based on multiple, independent, and converging lines of evidence. This multi-level convergence framework is designed specifically for the analysis and understanding of human cognitive/behavioral traits, in contrast to more general frameworks that are designed to be applied relatively widely (such as across all information processing systems or across all biological organisms). This integrated framework overcomes gaps in prior frameworks, provides a more complete picture of the interrelationships between various aspects of the behavioral sciences, and can aid in evaluating theories, both for comparison and identifying gaps in evidentiary support.