‘On-the ground’ strategy matrix for fostering quality participation experiences among persons with disabilities in community-based exercise programs

ObjectiveThe purposes of this paper are to (1) document the generation and refinement of a quality participation strategy list to ensure resonance and applicability within community-based exercise programs (CBEPs) for persons with physical and intellectual disabilities, and (2) identify theoretical links between strategies and the quality participation constructs.MethodsTo address purpose one, a list of strategies to foster quality participation among members was extracted from qualitative interviews with providers from nine CBEPs serving persons with physical disabilities. Next, providers from CBEPs serving persons with physical (n = 9) and intellectual disabilities (n = 6) were asked to identify the strategies used, and examples of their implementation, within their programs. Additional strategies noted by providers and in recent published syntheses were added to the preliminary list. A re-categorization and revision process was conducted. To address purpose two, 22 researchers with expertise in physical and/or intellectual disability, physical activity, participation and/or health behaviour change theory completed a closed-sort task to theoretically link each strategy to the constructs of quality participation.ResultsThe final list of 85 strategies is presented in a matrix. Each strategy has explicit examples and proposed theoretical links to the constructs of quality participation.ConclusionsThe strategy matrix offers a theoretically-meaningful representation of how quality participation-enhancing strategies can be practically implemented “on-the-ground” in CBEPs for persons with disabilities.     

Lay personality knowledge and dispositionist thinking: A knowledge-activation framework

We explicate a knowledge-activation framework depicting the link between lay personality knowledge and dispositional judgments, building on work by [Dweck et al., 1995a] and [Dweck et al., 1995b]. According to this framework, most people possess knowledge consistent with an entity theory (personality is fixed) and incremental theory (personality is malleable), which operates according to knowledge-activation principles. Consistent with this claim, we find that people render more confident dispositional judgments when their entity knowledge is made relatively more accessible through priming manipulations that activate aspects of their existing knowledge. Findings also illustrate the usefulness of incorporating both specific and general knowledge in our analysis. The present framework enhances and complements the individual-differences approach to the study of person theories prevalent in the literature.     

Efficient spatio-temporal data mining with GenSpace graphs

We describe a method for spatio-temporal data mining based on GenSpace graphs. Using familiar calendar and geographical concepts, such as workdays, weeks, climatic regions, and countries, spatio-temporal data can be aggregated into summaries in many ways. We automatically search for a summary with a distribution that is anomalous, i.e., far from user expectations. We repeatedly ranking possible summaries according to current expectations, and then allow the user to adjust these expectations. We also choose a propagation path in the GenSpace subgraph that reduces the storage and time costs of the mining process.     

What matters in scientific explanations: effects of elaboration and content

Given the breadth and depth of available information, determining which components of an explanation are most important is a crucial process for simplifying learning. Three experiments tested whether people believe that components of an explanation with more elaboration are more important. In Experiment 1, participants read separate and unstructured components that comprised explanations of real-world scientific phenomena, rated the components on their importance for understanding the explanations, and drew graphs depicting which components elaborated on which other components. Participants gave higher importance scores for components that they judged to be elaborated upon by other components. Experiment 2 demonstrated that experimentally increasing the amount of elaboration of a component increased the perceived importance of the elaborated component. Furthermore, Experiment 3 demonstrated that elaboration increases the importance of the elaborated information by providing insight into understanding the elaborated information; information that was too technical to provide insight into the elaborated component did not increase the importance of the elaborated component. While learning an explanation, people piece together the structure of elaboration relationships between components and use the insight provided by elaboration to identify important components.