Teaching Children With Autism Spectrum Disorder to Report Past Behavior With the Use of a Speech-Generating Device

The Analysis of Verbal Behavior -     

Exploring the Emergence of Side Biases and Familiarity–Novelty Preferences from the Real‐Time Dynamics of Infant Looking

This study examined how look dynamics contribute to infants’ emerging novelty preferences. Time‐series analyses were used to study the temporal nature of looking displayed by 3‐ to 5‐month‐old infants during a serial paired‐comparison task. Evidence was found only for short‐term stability: Novelty preferences and side biases were not stable from one visit to the next, but looking was consistent from one moment to the next producing stability within trials and temporarily across trials leading to the formation of behavioral runs. Persistence in looking left or right across multiple trials did not change from one visit to the next, but persistence in looking at familiar stimuli declined with age. By Visit 3, familiarity runs occurred less often than did novelty runs. Frequent but highly variable runs, including surprisingly late familiarity preferences, suggest that overall side biases and novelty preferences found during visual preference tasks are emergent phenomena affected by moment‐to‐moment changes in looking.     

Individual Participation in Collective Action in the Context of a Caribbean Island State: Testing the Effects of Multiple Dimensions of Social Capital

This article presents the findings of a case study examining the relationship between social capital and individual participation in collective action on a Caribbean island recovering from devastation inflicted by Hurricanes Ivan and Emily. Using data drawn from 114 residential surveys on the island of Carriacou, Grenada, over the summer of 2006, we empirically test social capital as a predictor of individual participation in both formal and informal civic events. In addition, we further the theoretical development of the concept of social capital by independently testing the relationships between its multiple dimensions, specifically social networks; interpersonal trust; and norms of reciprocity. We find that associational membership and age are the two strongest predictors, while interpersonal trust, gender, and marital status are also significant. Our path analysis reveals that there is not a significant direct effect between associational membership and interpersonal trust, suggesting that the two dimensions may have independent, yet complementary, influences. This study sheds light on factors influencing citizen participation in “civic” forms of collective action in a developing region of the world, while demonstrating the multidimensional nature of social capital.     

Improving the admissibility screen: evaluating test statistics on the basis of p-values rather than power

The admissibility of testing procedures is examined when the loss function used is an increasing function of the p-value rather than the standard 0–1 loss. It is shown that the class of admissible procedures using the new approach is a subset of the class of admissible procedures using the 0–1 loss.     

Making predictions from complex longitudinal data, with application to planning monitoring intervals in a national screening programme

When biological or physiological variables change over time, we are often interested in making predictions either of future measurements or of the time taken to reach some threshold value. On the basis of longitudinal data for multiple individuals, we develop Bayesian hierarchical models for making these predictions together with their associated uncertainty. Particular aspects addressed, which include some novel components, are handling curvature in individuals' trends over time, making predictions for both underlying and measured levels, making predictions from a single baseline measurement, making predictions from a series of measurements, allowing flexibility in the error and random-effects distributions, and including covariates. In the context of data on the expansion of abdominal aortic aneurysms over time, where reaching a certain threshold leads to referral for surgery, we discuss the practical application of these models to the planning of monitoring intervals in a national screening programme. Prediction of the time to reach a threshold was too imprecise to be practically useful, and we focus instead on limiting the probability of exceeding the threshold after given time intervals. Although more complex models can be shown to fit the data better, we find that relatively simple models seem to be adequate for planning monitoring intervals.     

Risk Detection and Self‐Protection Among Homeless Youth

Utilizing qualitative interviews with a large sample of 145 homeless youth seeking services at homeless youth service agencies from across three U.S. cities (Los Angeles, Denver, and Austin), this study sought to explore youths' perspectives on ways in which they detect risk and protect themselves on the streets. Results indicated that youth use a combination of internal cues (affective responses) and external cues (reading people) to detect danger, although many times danger was described as undetectable. Certain contexts, includes those that were unfamiliar, difficult to escape, or involved drugs were described as most dangerous. In response to these dangers, youth employed self‐protection strategies such as carrying weapons, banding together with trusted others, isolating, or seeking programing to leave the streets.     

Learning about restoration of urban ecosystems: a case study integrating public participation,stormwater management,and ecological research

Restoration of ecosystem functions in urban environments is made challenging by 1) a public that often lacks understanding of ecological principles, 2) inadequate evidence of the effectiveness of restoration practices, and 3) difficulty integrating social and biophysical factors in studies of urban ecosystems. This paper describes a case study in which potential solutions to these challenges were explored. We facilitated collaborative learning through public participation in the design and implementation of an urban riparian buffer along a headwater stream in a neighborhood park, a process that was informed by ecological research. Learning outcomes were evaluated using surveys and qualitative assessment of discussion. Results indicated that participants’ knowledge about water quality problems associated with urbanization, stormwater, and nonpoint-source pollution increased, familiarity with stormwater management practices increased, and perceptions about the importance of stream ecosystem functions changed. In-stream monitoring of sediment delivery, as well as direct measurements of buffer infiltration capacity, provided early evidence of buffer effectiveness in prevention of sediment inputs to the stream and absorption of runoff from surrounding surfaces. This study provides a useful model for integration of collaborative learning through participation, ecological restoration, and ecological research in an urban setting. Elements deemed essential to success of this model included an opportunity for dialog focused on a specific natural feature, sustained interaction between participants and researchers, opportunities for hands-on participation by urban residents, and flexibility in restoration practice installation.