Terrestrial vertebrates in urban ecosystems: developing hypotheses for the Gwynns Falls Watershed in Baltimore,Maryland

We review the literature on terrestrial vertebrates in urban and urbanizing areas in terms of the new paradigm in ecology that focuses on the origin, spatial pattern, and current influences of habitat patches. Studies of terrestrial vertebrates have documented differences in species composition along an urban-rural gradient and have identified some of the key land use features associated with these differences. We use information from a database developed for the Gwynns Falls Watershed in Baltimore City and County, Maryland to demonstrate how a study of forest-dependent breeding birds could be used to identify mechanisms that account for differences in the bird communities of forest patches in urban areas, and to provide useful information to planners and managers involved in wildlife conservation and management.     

Exit Discrimination in the NBA: A Duration Analysis of Career Length

Using a panel study of annual NBA data (1989–99) we do not find evidence of exit discrimination on career length in the NBA. This result is inconsistent with results from data in the 1980s but is consistent with more recent findings that have measured wage discrimination in sports in the 1990s. In our semiparametric duration analysis, we find that performance variables are important in determining career length. These results suggest that team owners in the pursuit of championships keep talented players regardless of race. This is an affirmation of Becker's theoretical implications of market competition on discrimination. (JEL J71 , J23 )     

Graphical solutions for structural regression assist errors-in-variables modelling

Structural regression attempts to reveal an underlying relationship by compensating for errors in the variables. Ordinary least-squares regression has an entirely different purpose and provides a relationship between error-included variables. Structural model solutions, also known as the errors-in-variables and measurement-error solutions, use various inputs such as the error-variance ratio and x-error variance. This paper proposes that more accurate structural line gradient (coefficient) solutions will result from using the several solutions together as a system of equations. The known data scatter, as measured by the correlation coefficient, should always be used in choosing legitimate combinations of x- and y-error terms. However, this is difficult using equations. Chart solutions are presented to assist users to understand the structural regression process, to observe the correlation coefficient constraint, to assess the impact of their error estimates and, therefore, to provide better quality estimates of the structural regression gradient.     

THERAPIST-CONDUCTED CONSULTATION: USING CLIENTS AS CONSULTANTS TO THEIR OWN THERAPY

Using qualitative research methodology, the authors developed an in-session therapeutic procedure called the therapist-conducted consultation (TCC) which is designed to enhance the therapist-client collaborative relationship. In the TCC, the therapist and client(s) relinquish their traditional roles and discuss the client's treatment. During this process, clients are invited to (a) share their perspective of treatment, (b) assess whether treatment is meeting their goals, and (c) suggest how treatment could change to improve their experience. The three-stage model of the TCC that resulted from the research is presented with a case example.     

Rural-Urban Differences in Obesity1

Abstract Obesity is an important social and health issue in contemporary society. Differences in relative weight, overweight, and extreme overweight were examined in rural, middle-sized, and urban areas in a national sample of 11,578 adults in the NHANES II survey. Rural-urban residence and weight were examined in bivariate relationships and in multiple regression analyses controlling for demographic and physical variables. Overall bivariate analyses revealed that some groups in rural areas had higher weights than their more urban counterparts. However, regression analyses showed that many bivariate rural-urban differences disappeared when demographics were controlled, although rural white women and men were still more likely to be overweight relative to their more urban counterparts. These findings suggest that the demographic composition of rural and urban populations explains most, but not all rural-urban variations in weight.