Moral issues in sport: the child's perspective

Sport offers opportunities for children to identify and resolve moral issues. Moral issues in sport have primarily been studied from the researcher's perspective, with the child's perspective relatively ignored. Thus, the purpose of this study was to explore the nature and content of the issues children experienced in sport. Interview participants consisted of 7 boys and 8 girls ranging in age from 10 to 12 years (M = 11.6 years, SD = 1.7) who had competitive youth sport experience. An inductive content analysis revealed that children identified issues surrounding three overall dimensions concerning fairness of adult's actions, negative game behaviors, and negative team behaviors. Specific examples of issues included unfair actions by coaches, disrespecting opponents, and selfish behavior in practice. The self-identified issues both confirmed and expanded upon the content found in hypothetical moral dilemmas in sport.     

The high-school dropout decision and its wage consequences

The purpose of this study is to investigate the wage consequences of leaving high school prior to graduation. The dropout process is modeled as interdependent events involving the dropout decision itself and expected wage offers. Since selectivity biases may occur in such models, our empirical analysis permits adjustment for any such biases. Our empirical results provide support for the existence of a self-selection bias in the initial work experiences following high school. We also find that wages for dropouts progressively decline in subsequent years relative to high-school graduates.     

Three emphases in teaching biology—A statistical comparison of results

How important are supplementary materials in instruction? This study suggests that such an approach contributes significantly to the development of critical thinking and science understanding.     

Classification and evaluation of problem-solving tasks

Problem-solving tasks are classified on the basis of four task characteristics (ambiguity, number of solutions, complexity, and experience), three process categories (preparation, production, and evaluation), and four general outcome categories (number of solutions, time to solution, quality, and process measures). The classification scheme is compared with recent attempts to define “ideal” characteristics of measures, and seven general criteria are proposed for evaluating problem-solving tasks. Twelve categories of tasks commonly used in research are classified and evaluated. Concept identification, switchlight problems, verbal mazes, and simulations are concluded to be tasks that most closely satisfy all evaluation criteria, although each has some problems. Implications for improvement of measures of problem-solving are indicated.