Statewide dissemination of trauma-focused cognitive-behavioral therapy (TF-CBT)

Despite evidence linking childhood trauma to subsequent social, emotional, psychological, and cognitive problems, many children who have experienced trauma do not receive mental health treatment that has been proven to be effective. Large-scale dissemination of evidence-based practices (EBPs) is one possible solution to enhance the current negative state of mental health treatment for these children. This article describes a dissemination effort of an EBP (i.e., Trauma-Focused Cognitive-Behavioral Therapy [TF-CBT]) for childhood symptoms of post-traumatic stress disorder throughout Arkansas. The effort targeted mental health professionals within child advocacy centers and community mental health centers across the state. The article describes the process of dissemination and implementation. Lessons learned and recommendations for future dissemination efforts are highlighted.     

Nonparametric binary regression using a Gaussian process prior

The article describes a nonparametric Bayesian approach to estimating the regression function for binary response data measured with multiple covariates. A multiparameter Gaussian process, after some transformation, is used as a prior on the regression function. Such a prior does not require any assumptions like monotonicity or additivity of the covariate effects. However, additivity, if desired, may be imposed through the selection of appropriate parameters of the prior. By introducing some latent variables, the conditional distributions in the posterior may be shown to be conjugate, and thus an efficient Gibbs sampler to compute the posterior distribution may be developed. A hierarchical scheme to construct a prior around a parametric family is described. A robustification technique to protect the resulting Bayes estimator against miscoded observations is also designed. A detailed simulation study is conducted to investigate the performance of the proposed methods. We also analyze some real data using the methods developed in this article.     

Maybe ignorance is not always bliss: The disparate treatment of Hispanics within the child welfare system

Previous studies indicate that the proportion of culturally diverse children to White children is increasing in public social service agencies. In addition, culturally diverse children are more likely to receive more intensive and punitive services, are more likely to stay within the system for longer periods of time and are reported more often to Child Protective Services. The purpose of the study was to explore how child welfare practices with Hispanic children are different from those applied with White non-Hispanic children. This study was a retrospective, two year, longitudinal, survival analysis of differential child welfare placement outcomes of White non-Hispanic and Hispanic children/families which had substantiated cases of abuse/neglect (n=1001).Findings demonstrate that although cases reported for abuse/neglect are relatively proportionate between Hispanic and White non-Hispanic children, substantiated cases are more likely to occur with Hispanic children. These children are more likely to be placed out of the home more quickly and for longer periods of time than their White non-Hispanic counterparts. The current study demonstrates the need for increased cultural awareness among Child Welfare professionals, especially in terms of assessment and case decision making, and the need for the development of culturally sensitive training modules for CPS and case management personnel.     

Designing field experiments which are subject to representation bias

The term 'representation bias' is used to describe the disparities that exist between treatment effects estimated from field experiments, and those effects that would be seen if treatments were used in the field. In this paper we are specifically concerned with representation bias caused by disease inoculum travelling between plots, or out of the experimental area altogether. The scope for such bias is maximized in the case of airborne spread diseases. This paper extends the work of Deardon et al. (2004), using simulation methods to explore the relationship between design and representation bias. In doing so, we illustrate the importance of plot size and spacing, as well as treatment-to-plot allocation. We examine a novel class of designs, incomplete column designs, to develop an understanding of the mechanisms behind representation bias. We also introduce general methods of designing field trials, which can be used to limit representation bias by carefully controlling treatment to block allocation in both incomplete column and incomplete randomized block designs. Finally, we show how the commonly used practice of sampling from the centres of plots, rather than entire plots, can also help to control representation bias.     

On implementation of a test for Kronecker product covariance structure for multivariate repeated measures data

Under the assumption of multivariate normality the likelihood ratio test is derived to test a hypothesis for Kronecker product structure on a covariance matrix in the context of multivariate repeated measures data. Although the proposed hypothesis testing can be computationally performed by indirect use of Proc Mixed of SAS, the Proc Mixed algorithm often fails to converge. We provide an alternative algorithm. The algorithm is illustrated with two real data sets. A simulation study is also conducted for the purpose of sample size consideration.     

Copyright Issues for the Distance Learning Professor

The Internet has made the accessibility of knowledge both instantaneous and global. The professor who teaches online must be aware of the legal issues created by digital technology. The scope of the Fair Use Doctrine in the U.S. Copyright Law is under debate by educators and copyright owners. Educators advocate amending the scope of works available for distance learning, under the Fair Use principle, to include the same range of exclusions allowed in face to face classrooms such as: audiovisual works, movies and videos. While copyright owners advocate licensing of materials, educators feel that licensing procedures and costs need to be geared to the needs and ability to pay of the educational institution, otherwise their distance learning students will not have access to the same materials as those who sit in the classroom. This revised version was published online in July 2006 with corrections to the Cover Date.     

Stochastic Response Surface Methods (SRSMs) for Uncertainty Propagation: Application to Environmental and Biological Systems

Comprehensive uncertainty analyses of complex models of environmental and biological systems are essential but often not feasible due to the computational resources they require. "Traditional" methods, such as standard Monte Carlo and Latin Hypercube Sampling, for propagating uncertainty and developing probability densities of model outputs, may in fact require performing a prohibitive number of model simulations. An alternative is offered, for a wide range of problems, by the computationally efficient "Stochastic Response Surface Methods (SRSMs)" for uncertainty propagation. These methods extend the classical response surface methodology to systems with stochastic inputs and outputs. This is accomplished by approximating both inputs and outputs of the uncertain system through stochastic series of "well behaved" standard random variables; the series expansions of the outputs contain unknown coefficients which are calculated by a method that uses the results of a limited number of model simulations. Two case studies are presented here involving (a) a physiologically-based pharmacokinetic (PBPK) model for perchloroethylene (PERC) for humans, and (b) an atmospheric photochemical model, the Reactive Plume Model (RPM-IV). The results obtained agree closely with those of traditional Monte Carlo and Latin Hypercube Sampling methods, while significantly reducing the required number of model simulations.     

‘Farming miners’ or ‘mining farmers’?: Diamond mining and rural development in post-conflict Sierra Leone

Sierra Leone is currently emerging from a brutal civil war that lasted most of the 1990s, and now has the dubious distinction of being ranked among the world's poorest countries. As thousands of displaced people move back to their villages, a large proportion of the predominantly farm-based rural population are growing food crops for the first time in a decade. Alluvial diamond mining makes an important contribution to the national economy, though some would argue that Sierra Leone's diamonds are a ‘resource curse’. Drawing upon research undertaken in the 1970s and also in the post-conflict period, the paper provides a longitudinal perspective on the complex links between the farming and mining sectors. Recent field research in Sierra Leone's Eastern Province, indicates that many links between farming and diamond mining have actually been maintained despite severe dislocation. These links could play a key role in rejuvenating market-oriented food production, providing the much-needed impetus for post-war rural development. In charting a future development trajectory, the paper recognizes the urgent need for an effective management scheme for both mining and marketing diamonds, given the potentially destabilizing effect on the country of the uncontrolled exploitation of this valuable resource. In this context, a recent community-based, integrated management initiative adopted by one local NGO, the Peace Diamond Alliance, is examined. If meaningful rural development is to be achieved among desperately poor communities, development strategies must be based on a detailed understanding of the nature of inter-locking livelihoods in the agricultural and mining sectors.     

The impact of the daily lottery on the numbers game: Does legalization make a difference?

There has been a profusion of state run legal lotteries over the last two decades. One justification for them has been their supposed diversion of funds from illegal games known as numbers, policy and bolita. Records obtained in a police raid in south Florida provided an opportunity to analyze the impact of Florida' legal lottery on its illegal counterpart. The records ranged over a 13 week period encompassing five weeks prior to the inception of Florida's legal daily numbers and lotto games and seven weeks afterward. While there was a 17 percent decline in monies wagered on the illegal games during the first week of the legal games, illegal wagers quickly rebounded to prelegalization levels.An earlier version of the paper was presented at the annual meeting of the Academy of Criminal Justice Sciences, Washington, D.C., March 1989. The authors wish to express their deep appreciation to the Metro-Dade Police Department, Miami, Florida, and particularly to Max Schuman and Sgt. James Boyd for their assistance in this research.