The Effects of the Specialist Schools Education Policy on School and Post‐School Outcomes in England

We investigate the effects of the specialist schools policy, introduced in 1994 in England, on test scores and truancy for pupils during compulsory schooling. We also assess the effects on labour market status and post‐secondary test score performance. We use matching models and data from the Youth Cohort Surveys for pupils who left school in either 2002 or 2004. We find that the policy did raise test scores, as well as increase the probability of employment. The evidence on post‐secondary test scores is mixed insofar as the policy increased the number of A levels studied but reduced average points scores.     

Adoptive and Nonadoptive Mother–Child Behavioral Interaction: A Comparative Study at 4 Years of Age

Comparable samples of low-risk adopted and non-adopted children and mothers were observed during three tasks at age 4 years. Quality of mother–child interactions, child level of functioning in four domains, and maternal parenting satisfaction and social support were assessed. Adopted children were as competent as non-adopted children on measures of developmental functioning. Both groups of mothers expressed high satisfaction and support as parents. However, ratings of child, maternal, and dyadic behavior when interacting were all lower for adoptive dyads than for non-adoptive dyads, and adoptive dyads with boys accounted for the maternal and dyadic group differences.     

Benefits of Model-based Drug Development: A Rigorous,Planned Case Study

Model-based drug development (MBDD) is useful to make better quantitative decisions within drug development. However, rigorous evaluation of the benefits has been scarce in the literature. In this study, we take a completed development program, retrospectively repeat it in a virtual setting using MBDD methodologies, and compare it to the traditional drug development process. The conclusion is that the use of MBDD could have facilitated more efficient use of resources.     

A candidate-set-free algorithm for generating D-optimal split-plot designs

Summary.  We introduce a new method for generating optimal split-plot designs. These designs are optimal in the sense that they are efficient for estimating the fixed effects of the statistical model that is appropriate given the split-plot design structure. One advantage of the method is that it does not require the prior specification of a candidate set. This makes the production of split-plot designs computationally feasible in situations where the candidate set is too large to be tractable. The method allows for flexible choice of the sample size and supports inclusion of both continuous and categorical factors. The model can be any linear regression model and may include arbitrary polynomial terms in the continuous factors and interaction terms of any order. We demonstrate the usefulness of this flexibility with a 100-run polypropylene experiment involving 11 factors where we found a design that is substantially more efficient than designs that are produced by using other approaches.     

Human dimensions of forest management: an empirical study of stakeholder perspectives

Although much has been written on the human dimensions of forest management, there has been little empirical investigation of how forest stakeholders themselves conceptualize this domain. We used a conceptual content cognitive mapping (3CM) task along with a short survey to explore the perspectives of 23 forest stakeholders in the Pacific Northwest on the human factors relevant to appropriate forest management. Study participants were chosen from three groups: employees of the U.S. Forest Service at the Mount Baker-Snoqualmie Forest, employees of a large timber company, and area environmentalists. Three distinct human dimensions emerged: Traditional intangible benefits (aesthetic concerns, recreation and cultural resources), Values and expectations (considering multiple values, maintaining public expectations, considering social acceptability and maintaining public confidence in forestry), and Process issues indecision making (public involvement, communication across boundaries, collaboration and taking an interdisciplinary approach). In this article, we discuss these three dimensions, the differences found among the stakeholder groups in the importance they placed on each of these dimensions, and the benefits of the 3CM method in this context.