RELIGIOUS PARTICIPATION, ETHNIC IDENTIFICATION, AND ADAPTATION OF VIETNAMESE ADOLESCENTS IN AN IMMIGRANT COMMUNITY

This article addresses the role of religion in immigrant adaptation through the case of Vietnamese adolescents. Our results show that religious participation consistently makes a significant contribution to ethnic identification, which, in turn, facilitates positive adaptation of immigrant adolescents to American society by increasing the probability that adolescents will do well in school, set their sights on future education, and avoid some of the dangers that confront contemporary young people. These results suggest that an immigrant congregation does not function simply as a means of maintaining a psychologically comforting sense of ethnicity while group members drop ethnic traits in their day-to-day lives. Nor does identification with an ethnic group appear to limit life chances by binding group members to ethnic traits. On the contrary, the ethnic religious participation examined here, to a large extent, facilitates adjustment to the host society precisely because it promotes the cultivation of a distinctive ethnicity, that, in turn, helps young people to reach higher levels of academic achievement and to avoid dangerous and destructive forms of behavior.     

An Improved Approximation to the Exact Solution of the Two-Stage Clonal Growth Model of Cancer

Multistage clonal growth models are of interest for cancer risk assessment because they can explicitly incorporate data on cell replication. Both approximate and exact formulations of the two stage growth model have been described. The exact solution considers the conditional probability of tumors arising in previously tumor-free animals; the approximate solution estimates total probability of tumor formation. The exact solution is much more computationally intensive when time-dependent cell growth parameters are included. The approximate solution deviates from the exact solution at high incidences and probabilities of tumor. This report describes a computationally tractable,'improved approximation'to the exact solution. Our improved approximation includes a correction term to adjust the unconditional expectation of intermediate cells based on the time history of formation of intermediate cells by mutation of normal cells (recruitment) or by cell division in the intermediate cell population (expansion). The improved approximation provided a much better match to the exact solution than the approximate solution for a wide range of parameter values. The correction term also appears to provide insight into the biological factors that contribute to the variance of the expectation for the number of intermediate cells over time.     

Race,Political Empowerment,and Minority Perceptions of Judicial Fairness*

Objective. Recent studies of the impact of black elite electoral success on the system‐supporting attitudes of black citizens have yielded mixed, but generally unimpressive, empirical results. We extend this limited research by examining the effects of the presence of black judicial officials on public attitudes toward a state judicial system. Methods. We employ data from a telephone survey of citizens in Mississippi and develop multivariate models to test for the effects of black judges on citizens' evaluations of the fairness of judges, equity in sentences, and overall impartiality of the state judicial system. Results. We find no systematic evidence that the election of black judicial officials ameliorates the suspicions of the black public regarding the fairness of the state courts. Conclusions. Our findings are in line with other recent studies on the limited effects of black elite electoral success on the attitudes of the black public and generally support a “political reality” model of political trust rather than an “empowerment model.”     

Health-health analysis: A new way to evaluate health and safety regulation

Regulations to promote health and safety that are exceptionally costly relative to the expected health benefits may actually worsen health and safety, since compliance reduces other spending, including private spending on health and safety. Past studies relating income and mortality give estimates of the income loss that induces one death — a value that we call willingness-to-spend (WTS)-to be around 9 to9 to 12 million. Such estimates help identify regulations that do not improve health and safety, and moreover, fail benefit-cost comparisons. WTS is a multiple of the willingness to pay to avert a statistical death. International data yield estimates of WTS and willingness-to-pay in different countries.The views of the authors do not necessarily reflect the views of the Office of Information and Regulatory Affairs or OMB. Thanks are due to Ivy Broder, Kenneth S. Chapman, Govind Hariharan, and W. Kip Viscusi for helpful comments. Some of this material is included in theRegulatory Program of the United States Government, April 1, 1992, March 31, 1993, of the Executive Office of the President.     

They Just Do Not Vote Like They Used To: A Methodology to Empirically Assess Election Fraud*

Objectives. In contemporary U.S. elections there is no shortage of allegations concerning election fraud. These claims are, however, based in large part on anecdotal evidence, unsubstantiated assertions, or the study of reported complaints. The absence of a general methodology to actively search for evidence of election fraud has resulted in policy arguments devoid of empirical data and systematic analyses. Methods. In this article, we present a general methodology to study contemporary election fraud based on the Knowledge Discovery in Databases (KDD) process. We then apply this approach to a case study of a particular type of fraud. Results. After examining approximately 2.1 million votes cast during the 2006 general election in Georgia, we find no evidence that election fraud was committed under the auspices of deceased registrants. Conclusion. In this article, we have introduced a general methodology for the scientific study of election fraud. We urge social scientists to make use of such a framework to investigate the prevalence of different types of fraud across varying election cycles and jurisdictions.     

Choosing a Pretest-Posttest Analysis

Pretest-posttest designs serve as building blocks for other more complicated repeated-measures designs. In settings where subjects are independent and errors follow a bivariate normal distribution, data analysis may consist of a univariate repeated-measures analysis or an analysis of covariance. Another possible analysis approach is to use seemingly unrelated regression (SUR). The purpose of this article is to help guide the statistician toward an appropriate analysis choice. Assumptions, estimates, and test statistics for each analysis are approached in a systematic manner. On the basis of these results, the crucial choice of analysis is whether differences in pretest group means are conceived to be real or the result of pure measurement error. Direct consultation of the statistician with a subject-matter person is important in making the right choice. If pretest group differences are real, then a univariate repeated-measures analysis is recommended. If pretest group differences are the result of pure measurement error, then a conditional analysis or SUR analysis should be used. The conditional analysis and the SUR analysis will produce similar results. Smaller variance estimates can be expected based on the SUR analysis, but this gain is partially mediated by a lack of an exact distribution for test statistics.