The Significance of Shift Work: Current Status and Future Directions

This paper provides a review and synthesis of research literature on the effects of shift work on workers’ physical health, mental health/well-being, and family life. The focus is on current knowledge, unanswered questions, and new directions for future research. The selection of research literature is guided by a general conceptual framework that identifies predictor variables, moderating variables, and outcome variables. The paper concludes with a discussion of the variables that should be incorporated into an agenda for future research.     

A BETA-OPTIMAL TEST OF THE EQUICORRELATION COEFFICIENT

This paper considers the problem of testing for nonzero values of the equicorrelation coefficient of a standard symmetric multivariate normal distribution. Recently, SenGupta (1987) proposed a locally best test. We construct a beta-optimal test and present selected one and five percent critical values. An empirical power comparison of SenGupta's test with two versions of the beta-optimal test and the power envelope shows the relative strengths of the three tests. It also allows us to assess and confirm Efron's (1975) rule of when to question the use of a locally best test, at least for this testing problem. On the basis of these results, we argue that the two beta-optimal tests can be considered as approximately uniformly most powerful tests, at least at the five percent significance level.     

THE POWER OF STUDENT'S t TEST: CAN A NON-SIMILAR TEST DO BETTER?

Lehmann & Stein (1948) proved the existence of non-similar tests which can be more powerful than best similar tests. They used Student's problem of testing for a non-zero mean given a random sample from the normal distribution with unknown variance as an example. This raises the question: should we use a non-similar test instead of Student's t test? Questions like this can be answered by comparing the power of the test with the power envelope. This paper discusses the difficulties involved in computing power envelopes. It reports an empirical comparison of the power of the t test and the power envelope and finds that the two are almost identical especially for sample sizes greater than 20. These findings suggest that, as well as being uniformly most powerful (UMP) within the class of similar tests, Student's t test is approximately UMP within the class of all tests. For practical purposes it might also be regarded as UMP when moderate or large sample sizes are involved.     

Postdivorce Father‐Adolescent Closeness

Research indicates that closeness of the father‐child bond following parental divorce is associated with better outcomes for children and adolescents. Unlike other investigations, this study takes a long‐term developmental approach to understanding stability and change in postdivorce father‐adolescent relationship closeness. Drawing on Add Health data (n = 483), we examine factors that explain (a) why some high‐quality father‐adolescent relationships remain the same after divorce whereas others decline, and (b) why some low‐quality relationships are stable following divorce whereas others improve. High mother‐offspring relationship quality and offspring feelings of well‐being prevented close father‐offspring relationships from deteriorating. Offspring’s childbearing and cohabitation following parental divorce increase closeness in father‐offspring relationships that were not close prior to divorce. Although a majority of offspring experienced a decline in closeness following divorce, results from this study show that some very close father‐offspring relationships are maintained and some poor relationships become closer.     

Disability and climate change: A critical realist model of climate justice

Existing literature on climate change as an issue of environmental justice documents the heightened vulnerability of people with disabilities to the effects of climate change. Additionally, there are numerous studies showing that access to information is a prerequisite for perceiving risk and taking action. Building on this work, our review seeks to understand how physical disability relates to perceptions of climate-related risk and adaptations to climate-related events. We introduce a critical realist model of climate justice to understand the relationships between the environmental features that disable, risk perception and information seeking, and adaptive capacity and resilience to climate change. In understanding the vulnerability and adaptive capacity of people with disabilities to climate change, this review synthesizes research on one of the U.S.’s largest minority communities with the goals of better understanding how vulnerable populations cope with climate change and integrating them into climate action and policy.     

Judicial Decision Making and International Tribunals: Assessing the Impact of Individual,National, and International Factors*

Objective. The objective of this article is to explain judicial decision making at the International Criminal Tribunal for the Former Yugoslavia by analyzing the impact of individual, national, and international factors. Methods. We use regression and probit analysis of data on the verdicts and sentences handed down by the judges. Results. We find that international factors best explain judicial decision making, especially regarding sentencing. Conclusions. International tribunals and courts are becoming increasingly important and prevalent and it is critical that scholars better understand how their judges make decisions.     

Funding Strategies for Population Researchers: Perspectives from the National Institutes of Health

The purpose of this article is to briefly describe the application and funding process at the National Institutes of Health (NIH). We target our discussion to demographic and population science at the Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD), but the general strategies are applicable to social and behavioral scientists for all NIH funding opportunities.     

Bayesian spatial quantile regression for areal count data,with application on substitute care placements in Texas

Quantile regression (QR) allows one to model the effect of covariates across the entire response distribution, rather than only at the mean, but QR methods have been almost exclusively applied to continuous response variables and without considering spatial effects. Of the few studies that have performed QR on count data, none have included random spatial effects, which is an integral facet of the Bayesian spatial QR model for areal counts that we propose. Additionally, we introduce a simplifying alternative to the response variable transformation currently employed in the QR for counts literature. The efficacy of the proposed model is demonstrated via simulation study and on a real data application from the Texas Department of Family and Protective Services (TDFPS). Our model outperforms a comparable non-spatial model in both instances, as evidenced by the deviance information criterion (DIC) and coverage probabilities. With the TDFPS data, we identify one of four covariates, along with the intercept, as having a nonconstant effect across the response distribution.     

The Impossibility of Naturalism: The Antinomies of Bhaskar's Realism

From the publication of The Possibility of Naturalism, Bhaskar's critical naturalism or realism has argued for a dualistic social ontology of interpreting individuals and objective, 'real' social structures. In arguing for a dualistic ontology, Bhaskar commits himself to two antinomies; he insists that society is dependent on individuals but also independent of them, and that social action is always intentional but it also has non-intentional, material features. These antinomies are apparently resolved by appeals to emergence. In fact, the appeal to emergence is merely a disguised regression into reification and the only genuine path out of these antinomies is the adoption of a fully hermeneutic social theory in line with the positions of Winch and Gadamer.