Evaluating the Effectiveness of Risk-Reduction Strategies for Consumer Chemical Products

Communication about risks offers a voluntary approach to reducing exposure to pollutants. Its adequacy depends on its impact on behavior. Estimating those impacts first requires characterizing current activities and their associated risk levels, and then predicting the effectiveness of risk-reduction strategies. Characterizing the risks from chemical consumer products requires knowledge of both the physical and the behavioral processes that influence exposures. This article presents an integrated approach that combines consumer interviews, users' beliefs and behaviors, and quantitative exposure modeling. This model was demonstrated in the context of consumer exposure to a methylene chloride-based paint stripper, showing how it could be used to evaluate current levels of risk and predict the effectiveness of proposed voluntary risk-reduction strategies.     

Initial Validation of the Open Adoption Scale: Measuring the Influence of Adoption Myths on Attitudes Toward Open Adoption

All adoptions, including those facilitated by public agencies, should be evaluated for openness. Although there are no national figures related to openness in public welfare, there are indications that it is not considered in all cases. Adoption myths may be one of the reasons that adoption workers do not always assess a family's ability to maintain a more open adoption arrangement. The following study is the initial validation of a multidimensional psychometric instrument developed to measure myths as they relate to open adoption. Based on a sample of 547 university students, the results indicate very good reliability and acceptable factorial and construct validity. The instrument was designed as a training and research tool to inform child welfare personnel and policy makers of the influence of adoption-related myths on child welfare adoption practice.     

Locally quadratic log likelihood and data-based transformations

The investigation of multi-parameter likelihood functions is simplified if the log likelihood is quadratic near the maximum, as then normal approximations to the likelihood can be accurately used to obtain quantities such as likelihood regions. This paper proposes that data-based transformations of the parameters can be employed to make the log likelihood more quadratic, and illustrates the method with one of the simplest bivariate likelihoods, the normal two-parameter likelihood.     

Bootstrap confidence interval estimates of cpk: an introduction

The interpretation of C_pk:, a common measure of process capability and confidence limits for it, is based on the assumption that the process is normally distributed. The non-parametric but computer intensive method called Bootstrap is introduced and three Bootstrap confidence interval estimates for C^ are defined. An initial simulation of two processes (one normal and the other highly skewed) is presented and discussed     

Sparse additive models

Summary.  We present a new class of methods for high dimensional non-parametric regression and classification called sparse additive models. Our methods combine ideas from sparse linear modelling and additive non-parametric regression. We derive an algorithm for fitting the models that is practical and effective even when the number of covariates is larger than the sample size. Sparse additive models are essentially a functional version of the grouped lasso of Yuan and Lin. They are also closely related to the COSSO model of Lin and Zhang but decouple smoothing and sparsity, enabling the use of arbitrary non-parametric smoothers. We give an analysis of the theoretical properties of sparse additive models and present empirical results on synthetic and real data, showing that they can be effective in fitting sparse non-parametric models in high dimensional data.     

Three Journeys Toward The Reflecting Team

The experience of familiestrainee and supervisory therapists involved in reflecting team work are explored through the metaphor of ‘journey’ and by asking a small number of our colleagues and clients about their experiences. Ideas gained from this approach are tentatively used to raise some questions about the reflecting team specifically and the current direction of family therapy. More rigorous research into this area is invited.