Game On: Past Year Gambling,Gambling-Related Problems,and Fantasy Sports Gambling Among College Athletes and Non-athletes

College students experience higher rates of gambling-related problems than most other population segments, including the general population. Although Division I (D1) athletes often have more at stake than the average student if and when they gamble (e.g., the potential to lose their athletic eligibility), relatively few studies have assessed the gambling behavior of this population and none have specifically assessed fantasy sports gambling. We conducted a study to examine gambling behavior (past-year gambling, gambling-related problems, and fantasy sport gambling) among a sample (N = 692) of college students at a private religiously affiliated university in the Southwest US. The sample for our study was unique in that approximately 30 % of the participants were D1 athletes. We compared the gambling behavior among three groups based on the athlete status: D1 athletes, club/intramural/recreational (CIR) athletes, and non-athletes (NAs). Compared to females in our sample, males observed higher rates of past year gambling, fantasy sports participation, fantasy sports gambling, and gambling-related problems. Among males, we found that CIR athletes observed the highest rates of past year gambling and fantasy sports participation and D1 athletes observed higher rates than NAs. We did not find differences in fantasy sport gambling and past year gambling-related problems based on athlete status in males or females.     

A Statistical Inference Course Based on p-Values

Introductory statistical inference texts and courses treat the point estimation, hypothesis testing, and interval estimation problems separately, with primary emphasis on large-sample approximations. Here, I present an alternative approach to teaching this course, built around p-values, emphasizing provably valid inference for all sample sizes. Details about computation and marginalization are also provided, with several illustrative examples, along with a course outline. Supplementary materials for this article are available online.     

The Effect of Neglecting Correlations When Propagating Uncertainty and Estimating the Population Distribution of Risk

Interest in examining both the uncertainty and variability in environmental health risk assessments has led to increased use of methods for propagating uncertainty. While a variety of approaches have been described, the advent of both powerful personal computers and commercially available simulation software have led to increased use of Monte Carlo simulation. Although most analysts and regulators are encouraged by these developments, some are concerned that Monte Carlo analysis is being applied uncritically. The validity of any analysis is contingent on the validity of the inputs to the analysis. In the propagation of uncertainty or variability, it is essential that the statistical distribution of input variables are properly specified. Furthermore, any dependencies among the input variables must be considered in the analysis. In light of the potential difficulty in specifying dependencies among input variables, it is useful to consider whether there exist rules of thumb as to when correlations can be safely ignored (i.e., when little overall precision is gained by an additional effort to improve upon an estimation of correlation). We make use of well-known error propagation formulas to develop expressions intended to aid the analyst in situations wherein normally and lognormally distributed variables are linearly correlated.     

On the integration of labor markets: A definition and test of the radical — Segmentation hypothesis

The empirical results of this paper are indicative of overall labor market integration. Segmentation theories are not supported by the high covariability of wage rates supported by this test. If segmentation theories are to mean more than that relative wages differ among industries, proponents of such theories must argue that segmented markets are cut off from other markets and able to resist the forces of supply and demand. Indeed if labor unions are to be able to insulate workers from market forces they must also segment their markets. The results of this paper indicate that unions are not able to insulate their workers from market forces. We are grateful to William Boyes, Dennis Logue, John Bishop, Stephen E. Baldwin, William McEachern, Roger Sherman, and Robert Tollison for comments on earlier versions and to James Bennett and an unidentified referee for comments on this final version.     

Management of medically fragile infants and children

Medically fragile infants and children present a host of challenges. The neonatal intensive care unit (NICU) is initially the mainstay of care for these infants, but it does not meet the critical developmental interactive needs of the child and parents to ensure positive psychosocial bonding. The care of these infants is further complicated by high daily costs (ranging from $1,000 to $2,500 per neonatal intensive care bed day) and lengthy, expensive inpatient stays (typically ranging from one week to five months or more). FHP Utah, a managed care organization, met these challenges through an innovative case management-oriented home care program called "Welcome Home." The program has produced a major impact on the quality and the cost of care for medically fragile infants. This article summarizes the first year's experience in implementing and operating the program.     

Impacts of Return Migration on Rural U.S. Communities

Rural population loss is caused as much by low in‐migration as by high out‐migration, and for geographically disadvantaged nonmetropolitan counties in the United States, return migration plays a crucial role. This research captures impacts of return migrants on population, economy, and society in declining rural U.S. communities using a qualitative, multisited approach. Interviews conducted at high school reunions with rural returnees in their late 20s to late 40s show that the vast majority of returnees brought spouses and children back with them, increasing the short‐term and long‐term population. They also brought back much needed human capital, including education, job skills, and life experiences, and filled professional positions that are often hard to fill in rural communities. Entrepreneurial activities and self‐employment of many return migrants favorably affected rural economies by improving the employment base and expanding available services. Interviews show how decisions to move back were grounded in social relations that promoted civic engagement. While they mainly moved back for their children and their families, return migrants valued involvement in familiar social networks and the opportunities to make a difference in their rural hometowns.     

Basic‐Level Categories,Mirror Neurons,and Joint‐Attention Schemes: Three Points of Intersection Between G.H. Mead and Cognitive Science

Recent research in cognitive science has provided broad empirical support for the model of cognition and self‐development formulated by G.H. Mead. This is demonstrated specifically through three distinct cognitive mechanisms: basic‐level categories, mirror neurons, and joint‐attention schemes. These mechanisms illustrate a form of embodied sociality that underscores the intersubjective foundation of mind and self articulated by Mead. Research on basic‐level categories, mirror neurons, and joint‐attention schemes further extends Mead's relevance outside standard sociological and social psychological circles to the field of cognitive science and its emerging focus on sociality and social interaction.