Poor minority children, specifically African-American and Hispanic/Latino, are at a significant disadvantage concerning swimming ability. Female subjects were notably more "at risk" regarding their swimming ability than male subjects. Age, race and socioeconomic factors (lunch programme and parental education) were significantly associated with children who have low swimming ability.

The purpose for this research was to determine if reported swimming participation myths (barriers) for minority children were authentic. Previous research on minority children's swimming patterns has been limited, while drowning rates for these groups are high. Nationwide survey research supported by USA Swimming was conducted using six cities across the U.S. Trained staff members from YMCA non-swimming programs were used to solicit participants and to supervise survey administration. A large, purposeful sample (n = 1,680) was gathered that targeted poor, minority children. Parents of children aged 4-11 years and adolescents (12-17 years) completed surveys. Descriptive statistics were observed on selected myth statements by demographic variables. Several barriers were revealed to be myths and not real barriers. Potential barriers revealed, which include parental involvement factors, were noteworthy for marginalized children.

In 2010, the San Francisco Giants became the first professional team to implement a comprehensive demand-based ticket pricing strategy called dynamic ticket pricing (DTP). In an effort to understand DTP as a price setting strategy, the current investigation explored Giants’ ticket prices during the 2010 season. First, the relationship between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices for comparable seats were examined. In addition, seat location and price changes over time were examined to identify potential effects on ticket price in the primary and secondary market. Giants’ ticket price data were collected for various games throughout the 2010 season. A purposive selection of 12 games, which included (N= 1,316) ticket price observations, were chosen in an effort to include a multitude of game settings. Two ANOVA models were developed to examine price differences based on pricing structure, market, section, and time. Findings showed significant differences between fixed ticket prices, dynamic ticket prices, and secondary market ticket prices, with fixed ticket prices on the low end and secondary market ticket prices on the high end of the pricing spectrum. Furthermore, time was found to have a significant influence on ticket price; however, the influence of time varied by market and seat location. These findings are discussed and both theoretical and practical implications are considered.

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