Bicycling is a popular recreation activity and mode of transportation among the American workforce. While safety standards are key factors in reducing risk for a cycling fatality, contextual factors also play a role. State-level data for this study were retrieved from the U.S. Census Bureau, the League of American Bicyclists, and the National…

Health coverage of early intensive behavioral intervention (EIBI) for children with autism spectrum disorder (ASD) is rapidly expanding across the United States. Yet we know little about the time-lag between diagnosis and treatment onset. We integrated administrative, Medicaid claims, and Census data for children in an EIBI Medicaid waiver (n =…

Recent evidence suggests that the neighborhood context, particularly for urban youth, can influence a range of outcomes. This study makes contributions to the field by examining how the neighborhood context directly relates to missing school. To do so, this study employs a large-scale, longitudinal data set of multilevel observations for entire…

This dissertation entitled "Educational choice and educational space" aims to explore the confluence of constructed space and geographic space using a supply-side context for New Zealand's public school system of quasi-open enrollment. In Part I, New Zealand's state and state-integrated school system across four urban areas is analyzed…

In an increasingly knowledge-based globalized world, higher education, advanced training and skill development are critical priorities for Vietnam. This paper aims to estimate the participation in higher education and its regional distribution in Vietnam, and to identify its determinants at the individual and contextual levels. Data used were from…

Background: In 2007 the Centers for Disease Control and Prevention (CDC) reported a higher prevalence of autism spectrum disorder (ASD) in New Jersey, one of the wealthiest states in the United States, than in other surveillance regions. Objective: To examine the association of socioeconomic status (SES) with ASD prevalence. Methods: Information…

This article examines how educational disparities in mortality emerge, grow, decline, and disappear across causes of death in the United States, and how these changes contribute to the enduring association between education and mortality over time. Focusing on adults age 40 to 64 years, we first examine the extent to which educational disparities…

This article examines the association between neighborhood characteristics at the census tract-level, couples' perceived neighborhood social cohesion and informal social control, and male-to-female (MFPV) and female-to-male (FMPV) partner violence in the United States. Data come from a second wave of interviews (2000) with a national sample of…

Analyzes the importance of incorporating both individual and neighborhood risk factors into predictive mental health needs assessment models. Data from the Epidemiologic Catchment Area Survey and the 1980 Census suggest that, with the exception of neighborhood social rank, neighborhood social area dimensions rarely make substantive contributions…

The authors examine the influence of neighborhood characteristics on the academic outcomes of children in middle childhood. Prior research has examined structural features of the community and has evaluated their associations with youth outcomes (Brooks-Gunn, Duncan, Klebanov, & Sealand, 1993; Kowaleski-Jones, 2000). Other research has related…

Discusses demographic diversification and implications for the American educational system. The United States is aging rapidly, has polarized wealth and poverty, has more Latin American and Asian immigrants, and is becoming increasingly mobile, suburban, and non-Caucasian. The best predictors of school achievement are household income and parents'…

The study reported here employed a quasi-factorial ecological approach to explore the possibility of using economic and social indicators available from the 1980 census to construct a socio-economic status (SES) index. The study hypothesized that if an appropriate factor analysis model could be identified, factor score equations could be used to…