Variables that discriminate bulimic from nonbulimic adolescent females

The present study identified variables that discriminated bulimic (N=71) from nonbulimic (N=71) adolescent females within a high school setting. A discriminant function analysis identified six variables that significantly differentiated these two groups. These variables included disturbed eating attitudes, negative perceptions of weight and body image, depressive symptomatology, and alcohol use. Post hoct tests indicated that, compared to the nonbulimic girls, the bulimic adolescents were significantly more depressed, viewed themselves as significantly more overweight, used alcohol significantly more frequently, possessed significantly more disturbed eating attitudes, had a significantly greater discrepancy between their current and ideal weight, and felt it was significantly more important to achieve this ideal weight. The implications of these findings for the etiology and early identification of bulimia in adolescence are discussed.Received Ph.D. from Kent State University. Research interest is applied clinical research.Received Ph.D. from University of Vermont. Research interest is behavioral medicine.     

Introduction: Contemporary Romanian politics

Romania is an archetypical case of protracted post-communism. Its regime transition was problematic and its founding election flawed, allowing successor communists to secure their hold on power. A period of quasi-authoritarianism and failed reform followed until critical elections in 1996 brought the liberal opposition to power for the first time. Since that time its political system has stabilized into a pattern in which electoral competition occurs but political accountability is limited and corruption is widespread. The current regime should therefore be considered as consolidated, bearing the marks of the transition period, but unlikely to undergo any further near term dramatic change.     

Application of non-contact scanning to forensic podiatry: A feasibility study

Foot impression evidence recovered from crime scenes can be available in the form of barefoot prints, sock-clad footprints, or as impressions within footwear. In some cases, suspects leave their footwear at the scene of the crime, and the insoles from the footwear can be important in linking a person to the footwear. The application of 3D data-collecting technology is becoming more and more popular within forensic science and has been used to recover footwear impression evidence. The present study is a feasibility study to discover if 3D data capturing devices can be applied to insoles; to capture the footprint impression for measurement using the Gunn method (a method used in forensic podiatry casework). Three different methods of data capture were conducted; Adobe Photoshop, MeshLab, and calipers used directly on the insole. Paired t-tests and Intraclass Correlation Coefficient (ICC) were conducted for all three data capture methods. Seven measurements used in this study were significantly different across all three methods. ICC scores were moderate to excellent for the Photoshop method, poor to good for the 3D method, and moderate to excellent for the Direct method.     

Gender Parity and Schooling Choices

Abstract

We examine the determinants of gender differences in schooling choices using data on 290,000 secondary school applicants in Ghana. Over a quarter of female students choose home economics as their preferred field of study compared to two per cent of males. We find that schooling choices vary significantly with academic performance and educational norms. Higher performing female students and those from districts with a history of gender parity in educational attainment are less likely to choose home economics. Differences across geographic areas account for more of the variation in schooling choices than observable individual, family, and school-level characteristics can explain.