Applying the Interactive Systems Framework to the Dissemination and Adoption of National and State Recommendations for Hypertension

The Centers for Disease Control and Prevention (CDC), Division for Heart Disease and Stroke Prevention (DHDSP), commissioned an Institute of Medicine (IOM) report to identify the highest priority action areas for CDC, state health departments, and other public health partners in their efforts to reduce and control hypertension. To assess the dissemination and adoption of the IOM report recommendations, DHDSP developed an evaluation based on the Interactive Systems Framework for Dissemination and Implementation (ISF). The evaluation incorporates data collection at critical points across 3 years. In this article, we focus on the ISF systems to describe the role of funded state partners and their relationship with CDC in implementing public health recommendations. We describe baseline results for three data collection activities: (1) key informant interviews, (2) a Web‐based survey, and (3) content analysis of state workplans to determine the degree of alignment with IOM recommendations. For example, currently 30 % of surveyed programs are implementing most (or all) of the recommendations in the IOM report, however 76 % intend to change hypertension program priorities based on the recommendations of the IOM report. Qualitative data suggest that there are several facilitators and barriers in implementing public health policy recommendations. DHDSP will use these baseline results to provide additional technical assistance and support to state health departments in their efforts to implement the IOM report's recommendations. 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     

New Directions in Capacity Building: Incorporating Cultural Competence into the Interactive Systems Framework

The UMBC Psychology Department's Center for Community Collaboration (CCC) provides training and support for capacity building to promote substance abuse and mental health treatment as well as adherence improvement in community agencies funded through the Ryan White Act serving persons living with HIV/AIDS. This article describes an approach to dissemination of Evidence Based Practices (EBPs) for these services that uses the Interactive Systems Framework (ISF) and incorporates a collaborative process involving trainer cultural competence, along with a comprehensive assessment of organizational needs, culture, and climate that culminates in tailored training and ongoing collaboration. This article provides: (1) an overview of the CCC's expanded ISF for the effective dissemination of two EBPs—motivational interviewing and the stages of change perspective; (2) an examination of the role of trainer cultural competence within the ISF framework, particularly attending to organizational culture and climate; and (3) case examples to demonstrate this approach for both general and innovation‐specific capacity building in two community based organizations. 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     

The Interactive Systems Framework Applied to the Strategic Prevention Framework: The Rhode Island Experience

The Interactive Systems Framework for Dissemination and Implementation (ISF) was introduced as a heuristic systems level model to help bridge the gap between research and practice (Wandersman et al., in Am J Commun Psychol 41:171–181, 2008). This model describes three interacting systems with distinct functions that (1) distill knowledge to develop innovations; (2) provide supportive training and technical assistance for dissemination to; (3) a prevention delivery system responsible for implementation in the field. The Strategic Prevention Framework (SPF) is a major prevention innovation launched by the Center for Substance Abuse Prevention (CSAP) of the Substance Abuse and Mental Health Services Administration (SAMHSA). The SPF offers a structured, sequential, data‐driven approach that explicitly targets environmental conditions in the community and aims for change in substance use and problems at the population level. This paper describes how the ISF was applied to the challenges of implementing the SPF in 14 Rhode Island communities, with a focus on the development of a new Training and Technical Assistance Resources Center to support SPF efforts. More specifically, we (1) describe each of the three ISF interacting systems as they evolved in Rhode Island; (2) articulate the lines of communication between the three systems; and (3) examine selected evaluation data to understand relationships between training and technical assistance and SPF implementation and outcomes. 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     

Are Automatic Imitation and Spatial Compatibility Mediated by Different Processes?

Automatic imitation or “imitative compatibility” is thought to be mediated by the mirror neuron system and to be a laboratory model of the motor mimicry that occurs spontaneously in naturalistic social interaction. Imitative compatibility and spatial compatibility effects are known to depend on different stimulus dimensions—body movement topography and relative spatial position. However, it is not yet clear whether these two types of stimulus–response compatibility effect are mediated by the same or different cognitive processes. We present an interactive activation model of imitative and spatial compatibility, based on a dual‐route architecture, which substantiates the view they are mediated by processes of the same kind. The model, which is in many ways a standard application of the interactive activation approach, simulates all key results of a recent study by Catmur and Heyes (2011) . Specifically, it captures the difference in the relative size of imitative and spatial compatibility effects; the lack of interaction when the imperative and irrelevant stimuli are presented simultaneously; the relative speed of responses in a quintile analysis when the imperative and irrelevant stimuli are presented simultaneously; and the different time courses of the compatibility effects when the imperative and irrelevant stimuli are presented asynchronously.     

Occupational Stress and Wellness Among Italian Secondary School Teachers

As a part of a larger cross-cultural investigation (Euroteach) which involves 11 European countries and 2 182 secondary school teachers, two were the aims of the present study: (1) to examine the relationship between job conditions and wellness/health outcomes on a group of 169 Italian secondary school teachers, by using the Job Demand-Control-Support (JDCS) Model (Karasek and Theorell, <citeref rid="bib24">1990</citeref>); (2) to analyse the differences with other European countries in the light of specific cultural differences. Controlling for age and gender, results of hierarchical regression indicated that job control and social support combine in different additive patterns with job demands to explain the well-being outcomes (job satisfaction, emotional exhaustion, depersonalisation, somatic complaints). The predictor's linearity check indicated that the job demands variable is curvilinearly associated both with emotional exhaustion ( p<0.005) and with somatic symptoms ( p<0.01). As compared to the average of the other European countries, on the positive side, the Italian teachers manifest both a higher degree of personal accomplishment and a lesser degree of depersonalisation; on the other hand, they claim a lesser degree of social support and a higher degree of somatic complaints.     

Interaction Between Phonological and Semantic Representations: Time Matters

Computational modeling and eye‐tracking were used to investigate how phonological and semantic information interact to influence the time course of spoken word recognition. We extended our recent models (Chen & Mirman, 2012; Mirman, Britt, & Chen, 2013) to account for new evidence that competition among phonological neighbors influences activation of semantically related concepts during spoken word recognition (Apfelbaum, Blumstein, & McMurray, 2011). The model made a novel prediction: Semantic input modulates the effect of phonological neighbors on target word processing, producing an approximately inverted‐U‐shaped pattern with a high phonological density advantage at an intermediate level of semantic input—in contrast to the typical disadvantage for high phonological density words in spoken word recognition. This prediction was confirmed with a new analysis of the Apfelbaum et al. data and in a visual world paradigm experiment with preview duration serving as a manipulation of strength of semantic input. These results are consistent with our previous claim that strongly active neighbors produce net inhibitory effects and weakly active neighbors produce net facilitative effects.     

Création et validation d’une version française du questionnaire AttrakDiff pour l’évaluation de l’expérience utilisateur des systèmes interactifs

IntroductionWhile user experience (UX) evaluation is a core concern within the field of human–computer interaction (HCI), there is currently no valid self-administered UX evaluation tool in French. The AttrakDiff 2 scale (Hassenzahl, Burmester, & Koller, 2003) is a UX evaluation tool, which relies on a theoretical model distinguishing pragmatic and hedonic qualities of interactive systems.ObjectiveThis paper describes the translation and validation of the French version of the AttrakDiff 2 scale in order to ease UX assessment in French-speaking users.MethodFollowing the cross-cultural methodology developed by Vallerand (1989), the questionnaire was translated by trilingual researchers before being back-translated and validated by a panel of experts. A pre-test was conducted on 26 participants. The characteristics of the French version of the AttrakDiff 2 scale were then evaluated through a quantitative online study involving a sample of 381 users.ResultsThe results confirm the expected 3 factors structure and a good internal consistency of each subscale. The links between factors are consistent with Hassenzahl's theoretical model (2003) where pragmatic and hedonic perceived attributes combine to form a judgment of attractiveness.ConclusionThe current French version of the AttrakDiff 2 scale is globally reliable with regards to the initial German version and presents satisfactory levels of validity and reliability.     

Parameter Inference for Computational Cognitive Models with Approximate Bayesian Computation

This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional parameter fitting methods. Weak methodology may lead to premature rejection of valid models or to acceptance of models that might otherwise be falsified. Mathematically robust fitting methods are, therefore, essential to the progress of computational modeling in cognitive science. In this article, we investigate the capability and role of modern fitting methods—including Bayesian optimization and approximate Bayesian computation—and contrast them to some more commonly used methods: grid search and Nelder–Mead optimization. Our investigation consists of a reanalysis of the fitting of two previous computational models: an Adaptive Control of Thought—Rational model of skill acquisition and a computational rationality model of visual search. The results contrast the efficiency and informativeness of the methods. A key advantage of the Bayesian methods is the ability to estimate the uncertainty of fitted parameter values. We conclude that approximate Bayesian computation is (a) efficient, (b) informative, and (c) offers a path to reproducible results.     

Uniform Test Assembly

In educational practice, a test assembly problem is formulated as a system of inequalities induced by test specifications. Each solution to the system is a test, represented by a 0–1 vector, where each element corresponds to an item included (1) or not included (0) into the test. Therefore, the size of a 0–1 vector equals the number of items n in a given item pool. All solutions form a feasible set—a subset of 2 ⁿ vertices of the unit cube in an n-dimensional vector space. Test assembly is uniform if each test from the feasible set has an equal probability of being assembled. This paper demonstrates several important applications of uniform test assembly for educational practice. Based on Slepian’s inequality, a binary program was analytically studied as a candidate for uniform test assembly. The results of this study establish a connection between combinatorial optimization and probability inequalities. They identify combinatorial properties of the feasible set that control the uniformity of the binary programming test assembly. Computer experiments illustrating the concepts of this paper are presented.     

Context Effects on Musical Chord Categorization: Different Forms of Top‐Down Feedback in Speech and Music?

A critical issue in perception is the manner in which top-down expectancies guide lower level perceptual processes. In speech, a common paradigm is to construct continua ranging between two phonetic endpoints and to determine how higher level lexical context influences the perceived boundary. We applied this approach to music, presenting participants with major/minor triad continua after brief musical contexts. Two experiments yielded results that differed from classic results in speech perception. In speech, context generally expands the category of the expected stimuli. We found the opposite in music: The major/minor boundary shifted toward the expected category, contracting it. Together, these experiments support the hypothesis that musical expectancy can feed back to affect lower-level perceptual processes. However, it may do so in a way that differs fundamentally from what has been seen in other domains.