This study examines child, parent, and situational correlates of familial ethnic/race socialization using nationally representative data gathered as part of the Early Childhood Longitudinal Study, Kindergarten Class of 1998 – 1999 (ECLS‐K). The ECLS‐K sample (N = 18,950) includes White, Black, Hispanic, Asian, Native Hawaiian/Pacific Islander, American Indian, and multiracial kindergarteners, with survey data available at the child, parent/guardian, teacher, and school level. We find that child correlates such as race and gender, parent correlates such as education and warmth of parent‐child relationship, and situational correlates such as percent of minorities at the child’s school and cultural event participation influence how often family members discuss children’s ethnic/racial heritage with them. We advocate for continued research of contextualized family dynamics.
Recent Supreme Court decisions have signaled the need for sound empirical studies of the secondary effects of adult businesses on the surrounding areas for use in conjunction with local zoning restrictions. This study seeks to determine whether a relationship exists between adult erotic dance clubs and negative secondary effects in the form of increased numbers of crimes reported in the areas surrounding the adult businesses, in Charlotte, North Carolina. For each of 20 businesses, a control site (matched on the basis of demographic characteristics related to crime risk) is compared for crime events over the period of three years (1998–2000) using data on crime incidents reported to the police. We find that the presence of an adult nightclub does not increase the number of crime incidents reported in localized areas surrounding the club (defined by circular areas of 500‐ and 1,000‐foot radii) as compared to the number of crime incidents reported in comparable localized areas that do not contain such an adult business. Indeed, the analyses imply the opposite, namely, that the nearby areas surrounding the adult business sites have smaller numbers of reported crime incidents than do corresponding areas surrounding the three control sites studied. These findings are interpreted in terms of the business mandates of profitability and continuity of existence of the businesses.
This study uses a lifestyle and routine activities (LSRA) approach to examine the offender—victim overlap in the case of lethal victimization. Longitudinal arrest and mortality data from three samples of individuals released from the California Youth Authority (CYA) are used to examine the lifestyle and criminal history factors that influence the risk of homicide victimization. Results from counting process Cox proportional hazards models indicate that gang membership, the period after release from incarceration, violent arrest history, ethnicity and race, county of release, and family criminality are all significantly related to the bivariate and multivariate risk of homicide victimization. However, other lifestyle and criminality factors such as alcohol and drug abuse and total offense history fail to predict the risk of homicide victimization. The article concludes with a discussion of the results in terms of their implications for theory, public policy, and future research needs.
Proportional hazards models are powerful methods for the analysis of dynamic social processes and are widely used in sociology to estimate the effects of covariates on event timing (e.g., time to arrest, birth, marriage). The proper statistical modeling of failure time data is an important analytical issue in sociology, but to date the field has largely neglected the application of these models to multiple failure time data in which the conventional assumption of the independence of failure times is not tenable. This paper critically describes a class of models known as variance-corrected proportional hazards models that have been developed by statisticians to take into account a lack of independence among failure times. The purpose is to provide an exposition and comparison for sociologists of several such models and associated methods for handling multiple failure time data that can be readily estimated in commonly available statistical software packages. We pay special attention to the data requirements necessary for estimation of the models. The paper concludes with an illustrative application of the models to analyze the arrest patterns of a sample of California Youth Authority parolees.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.