Data sharing

The sharing of research data to permit secondary analyses is rooted in the collegial tradition of science. Recently there has been a gradual shift from viewing data sharing as a voluntary activity to considering sharing as an obligation of researchers. This paper identifies two important dimensions of data sharing: the degree to which the primary investigators may determine whether they will share their data and the reason for which the data set is being requested. In addition to discussing the dimensions of data sharing, the negative aspects of viewing data sharing as an obligation are discussed. These negative factors are increased burden on the primary investigator; lack of incentive to share data; and loss of control over the use of data and negative effects on scientific progress. Recommendations regarding data sharing policies are made in light of these negative effects.     

The distribution of health care financing in the overall population and among the elderly

This paper focuses on the distribution of health care costs among the elderly. Four revenue sources are considered: income taxes, payroll taxes, user fees, and insurance premiums. The empirical work shows that the heavy reliance on direct payments as a means of collecting revenues among the elderly makes their contribution to the health care financing structure more regressive than for the nonelderly.     

The review panel process: an algorithm for the conditional release of insanity acquittees

The release of insanity acquittees requires making informed decisions regarding both the presence and severity of an individuals' mental illness and the dangerousness of these individuals. This study evaluated the usefulness of employing structured assessments of mental health and violence risk factors in the conditional release decision-making process. All persons found Not Guilty by Reason of Insanity at East Louisiana Mental Health System, Forensic Division who underwent a review panel between July 1, 1997 and July 1, 1999 were included in this study. The Classification and Regression Tree analysis was utilized to arrive at cutpoints that would optimize the predictive ability of the decision tree analysis. The results indicated that the Community Outpatient Treatment Readiness Profile score was the strongest predictor -- all patients receiving a score of 62 or greater on this scale were recommended to remain at the facility. When women were recommended for release, it was to civil facilities and with moderate levels of symptoms. For males with moderate symptoms, low PCL-R scores were associated with recommendations for release, whereas high scores were associated with recommendations for continued commitment. Our data suggests that algorithms may be useful to governing bodies when making release decisions.     

A 9-loci Y chromosome haplotype in three Italian populations

Three geographic areas of Italy have been sampled and genotyped for 9 Y chromosome STRs: DYS19, DYS385, DYS388, DYS389 I and II, DYS390, DYS391, DYS392, DYS393. Sampling was focused on residents of small areas, well distant from major urban centres. Only individuals whose grandfather would live in the same area were included. A total of 210 unrelated individuals were collected. Distribution of genetic variation across the three samples and comparison with previously published Italian database indicated that so far Y chromosome diversity has been only partially explored in the Italian Peninsula.     

Attitudes toward victims of rape: effects of gender, race, religion, and social class

Although previous literature focusing on perceptions of victims of rape has examined how gender, race, and culture influence the attitudes one holds toward victims, these studies have yielded mixed results. This study compared perceptions of victims of rape across a wide range of ages, educational backgrounds, religions, and income levels, while focusing on gender and racial differences. Results indicate (N = 220) that victims of rape are generally viewed more sympathetically by females than by males and by Whites than by African Americans. However, the effect of race disappears when socioeconomic variables are controlled, suggesting a more complex relationship. Also, a hierarchical regression indicates that age, sex, education, and income are significant predictors of attitudes toward victims. This study builds on existing research that examines such attitudes from a cultural perspective and extends this literature by examining the interactive effects of several demographic variables within a community sample.