All it takes is leadership

The authors, as leaders in a public child welfare system, have teamed together and reached out to their private sector partners in a large, rural county in western Colorado. This effort was part of a comprehensive, communitywide effort to redesign and fundamentally improve the entire child welfare service delivery system. Across the country in many areas where collaboration and integration have been the focus, we often hear voices in the private and public sector declaring the importance of integration. Why, then, does it not happen as a general course of action? The authors believe the answer lies in leadership, both public and private. They hold the Mesa County model up as witness to that fact.     

The Family Rule Concept in the Theory of Family Therapy: Part II**

In the second part of this paper the author traces the processes by which it is possible to learn rule conforming behaviours without necessarily being able to formulate the rule or see any point in the rule; the rule is followed blindly. In following a rule blindly a person may nevertheless be engaged in a practice which has a systemic function; he argues that when we positively connote symptomatic behaviours in the process of making paradoxical systemic interventions, we should avoid any suggestion that the family members are acting deliberately with the goal of “helping” in mind.     

eHealth recruitment challenges

Little is known about effective eHealth recruitment methods. This paper presents recruitment challenges associated with enrolling African-American girls aged 8–10 years in an eHealth obesity prevention program, their effect on the recruitment plan, and potential implications for eHealth research.Although the initial recruitment strategy was literature-informed, it failed to enroll the desired number of girls within a reasonable time period. Therefore, the recruitment strategy was reformulated to incorporate principles of social marketing and traditional marketing techniques. The resulting plan included both targeted, highly specific strategies (e.g., selected churches), and more broad-based approaches (e.g., media exposure, mass mailings, radio advertisements).The revised plan enabled recruitment goals to be attained. Media appeared to be particularly effective at reaching the intended audience. Future research should identify the most effective recruitment strategies for reaching potential eHealth audiences.     

Best linear predictors for factor scores

From the literature three types of predictors for factor scores are available. These are characterized by the constraints: linear, linear conditionally unbiased, and linear correlation preserving. Each of these constraints generates a class of predictors. Best predictors are defined in terms of Lowner's partial matrix order applied to matrices of mean square error of prediction. It is shown that within the first two classes a best predictor exists and that it does not exist in the third.     

Testing for autocorreiation in nested analysis of variance

This paper considers the problem in which repeated measures are taken on each subject in an experimental design and the model errors follow a first order autoregressive process. The appropriate form of the Durbin-Watson test statistic for autocorrelated errors is presented. Critical values for the test statistic are reported.     

Differential Developmental Profiles of Adolescents Using Sexually Explicit Internet Material

This study used a person-centered approach to examine whether different developmental trajectories of boys’ and girls’ use of sexually explicit Internet material (SEIM) exist, which factors predict these trajectories, and whether sexual behavior develops differently for adolescents in these trajectories. A combination of latent class growth analysis on SEIM use and latent growth curve analysis on sexual behavior was used on four-wave longitudinal data of 787 eighth through tenth grade Dutch adolescents. Among boys, four SEIM use trajectories were identified, which were labeled Nonuse/Infrequent Use, Strongly Increasing Use, Occasional Use, and Decreasing Use. Among girls, a large Stable Nonuse/Infrequent Use and smaller Strongly Increasing Use and Stable Occasional Use trajectories were distinguished. Higher initial levels and/or stronger increases in SEIM use were predicted by demographic, social contextual, personal, and media use characteristics, including a stronger sexual interest, a higher degree of perceived realism regarding sexualized Internet content, and more permissive sexual attitudes. Moreover, initial levels of and, to some extent, developmental changes in sexual behavior varied for boys and girls in the different SEIM use trajectories. Whereas some adolescents showed concurrent low levels, or parallel strong increases in SEIM use and sexual behavior, a subgroup of boys decreased their SEIM use while increasing their sexual behavior.     

Modelling the travel time of transit vehicles in real‐time through a GTFS‐based road network using GPS vehicle locations

Predicting the arrival time of a transit vehicle involves not only knowledge of its current position and schedule adherence, but also traffic conditions along the remainder of the route. Road networks are dynamic and can quickly change from free‐flowing to highly congested, which impacts the arrival time of transit vehicles, particularly buses which often share the road with other vehicles, so reliable predictions need to account for real‐time and future traffic conditions. The first step in this process is to construct a framework with which road state (traffic conditions) can be estimated using real‐time transit vehicle position data. Our proposed framework implements a vehicle model using a particle filter to estimate road travel times, which are used in a second model to estimate real‐time traffic conditions. Although development and testing took place in Auckland, New Zealand, we generalised each component to make the framework compatible with other public transport systems around the world. We demonstrate the real‐time feasibility and performance of our approach in real‐time, where a combination of R and C++ was used to obtain the necessary performance results. Future work will use these estimated traffic conditions in combination with historical data to obtain reliable arrival time predictions of transit vehicles.     

A More Complete Picture: Rural Residents’ Relative Support for Seven Forms of Natural Resource-Related Economic Development

Understanding rural resident support for various forms of natural resource-related economic development has been a common research topic in rural sociology. However, the vast majority of research has only evaluated support for one form of natural resource use at a time. The little research that has explored support for a wide variety of uses has found that residents are likely to support many of the suggested forms of development. We assessed rural resident support for seven forms of natural resource development: commercial logging, natural gas, mining, real estate, wind energy, tourism, and outdoor recreation. Using social exchange theory, this study examines the influence of perceived impacts of development, industry trust, and perceived industry power on general support for the seven forms of natural resource-related economic development using a fixed effects generalized linear model among a sample of residents of rural Pennsylvania communities. Additionally, we use mixed logit discreet choice modeling to evaluate the drivers of relative support, meaning a stated preference for one form of development over other possible options. The drivers of general support and relative support were similar, with trust in industry and impacts to quality of life emerging as the primary drivers of both.