The "experimenting agency". The California Youth Authority Research Division

During the 1960s and 1970s, the California Youth Authority embarked on a series of randomized field trials to test interventions for juvenile and young adult offenders. This article examines the institutional and political reasons why rigorous tests were adopted for such interventions as the Community Treatment Program. It also describes the effect these trials had on the agency and on California justice, as well as how the experimental method eventually became less often used in the Youth Authority. The authors explore some general reasons why this happened.     

School dropout and injecting drug use in a national sample of white non-Hispanic American adults

In this study we sought to extend our previous finding of an association between school dropout and injecting drug use (IDU) among African Americans by testing the association in a sample of White non-Hispanic Americans. A nationally representative sample of White non-Hispanic Americans age eighteen years and older was drawn from public use data files of the 1995-1996 National Household Surveys on Drug Abuse (NHSDA). Adults with a self-report history of IDU were identified, and were matched to non-IDU adults in the same neighborhoods of residence. Conditional logistic regression was used to estimate the association between dropping out of high school and the occurrence of IDU. White non-Hispanic American high school dropouts were more likely than high school graduates to have injected a drug at least once. The findings of this research on non-Hispanic Whites are generally consistent with our earlier evidence on the association between educational status and a history of IDU among African-American adults. School dropout prevention programs may merit attention in an overall strategy of preventing injecting drug use and HIV/AIDS.     

An extended semiparametric model for short-term and long-term hazard ratios

In survival analysis, one way to deal with non-proportional hazards is to model short-term and long-term hazard ratios. The existing model of this nature has no control over how fast the hazard ratio is changing over time. We add a parameter to the existing model to allow the hazard ratio to change over time at different speed. A nonparametric maximum likelihood approach is used to estimate the model parameters. The existing model is a special case of the extended model when the speed parameter is 0, which leads naturally to a way of testing the adequacy of the existing model. Simulation results show that there can be substantial bias in the estimation of the short-term and long-term hazard ratio if the speed parameter is fixed incorrectly at 0 rather than estimated. The extended model is fitted to three real data sets to shed new insights, including the observation that converging hazards does not necessarily imply the odds are proportional.     

Becoming an American and Liking It as Functions of Social Distance and Severity of Initiation

This paper examines the effects of social distance among a sample of immigrants in the process of becoming United States citizens. Using the Bogardus Social Distance Scale, a positive relationship was found between the degree of social distance and the likelihood of becoming a citizen. Social distance also serves as an important indicator of severity of initiation; the findings suggest that severity of initiation had a positive influence on reported satisfaction with life in America for those who became U. S. citizens. For those who did not become citizens, however, social distance had an inverse affect on satisfaction.     

CALIBRATING MEASURES OF FAMILY ACTIVITIES BETWEEN LARGE- AND SMALL-SCALE DATA SETS

Two studies of working families are combined to demonstrate a strategy for producing reliable estimates from the combination of self-reported (large N) and observational (small N) data. Both studies examine where and how dual-career families spend time at home. The 500 Family Study is sociological and uses self-reported time diary data from a national sample; the CELF study is anthropological and uses observational scan sampling data from a regional sample of 32 families. The data are combined as if they constitute one sample, and an analytic solution for establishing the reliability of the resulting composite estimates of time use is provided. Merging the data sets provides validation for each study, neither of which is without potential methodological weaknesses. The advantages of combining data from the independent data collection methods are discussed, and selected substantive findings on families' activities are highlighted, illustrating similarities and differences between findings in the independent and combined data sets. Results show that working families spend significant time in a small spectrum of home spaces, particularly kitchens and living rooms, with leisure activities prevailing, but mothers, fathers, and children differ in where and how they spend their time. Overall, a template for merging data from different disciplines and methods is provided.