SHORT REVIEWS

Books reviewed in this article: Iris Chi, Neena L. Chappell, and James Lubben (eds.), Elderly Chinese in Pacific Rim Countries: Social Support and Integration Wayne A. Cornelius, Thomas J. Espenshade, and Idean Salehyan (eds.), The International Migration of the Highly Skilled: Demand, Supply, and Development Consequences in Sending and Receiving Countries Bimal Ghosh (ed.), Managing Migration: Time for a New International Regime? Institute of Medicine, Forum on Emerging Infections, Emerging Infectious Diseases from the Global to the Local Perspective: Workshop Summary Hans‐Peter Kohler, Fertility and Social Interaction: An Economic Perspective David Kyle and Key Koslowski (eds.), Global Human Smuggling: Comparative Perspectives Brian C. O'Neill, F. Landis Mackellar, and Wolfgang Lutz, Population and Climate Change Neil J. Smelser and Paul B. Baltes (eds.), International Encyclopedia of the Social & Behavioral Sciences Thomas Spira, Nationalism and Ethnicity Terminologies: An Encyclopedic Dictionary and Research Guide, vol. 1 Li Zhang, Strangers in the City: Reconfigurations of Space, Power, and Social Networks within China's Floating Population     

Family size and support of older adults in urban and rural China: Current effects and future implications

Change in China's age structure is creating concerns about whether reductions in family size undermine traditional support mechanisms for older adults. Future generations may expect less support as the availability of children declines. In this article, the association between number of children and the receipt of instrumental and financial support is examined for rural and urban populations. Probabilities are modeled as bivariate probits. Coefficients are used to conduct simulations in which support is examined across hypothetical distributions of number of children. The results show that the number of children is an important determinant of support, but future reductions in support may not be as dramatic as anticipated.     

Sex on the brain?: an examination of frequency of sexual cognitions as a function of gender, erotophilia, and social desirability

It is commonly believed that men think about sex much more often than do women, but the empirical evidence in this area is fairly weak. By means of a golf tally counter, 283 college students kept track of their thoughts pertaining to food, sleep, or sex for one week. Males reported significantly more need-based cognitions overall, but there was no significant interaction between sex of participant and type of cognition recorded. Therefore, although these young men did think more about sex than did young women, they also thought more about food and sleep. In contrast, a retrospective estimated frequency of need-based cognitions obtained at the start of the study revealed a sex difference in sexual cognitions, but not thoughts about eating or sleeping. Erotophilia and sexual desirability responding were significant predictors of frequency of sexual cognitions for women, but not for men. Overall, erotophilia was a better predictor of sexual cognition than was sex of participant. Taken as a whole, the results suggest that, although there may be a sex difference in sexual cognitions, it is smaller than is generally thought, and the reporting is likely influenced by sex role expectations.     

Racialized customer service in restaurants: a quantitative assessment of the statistical discrimination explanatory framework

Despite popular claims that racism and discrimination are no longer salient issues in contemporary society, racial minorities continue to experience disparate treatment in everyday public interactions. The context of full-service restaurants is one such public setting wherein racial minority patrons, African Americans in particular, encounter racial prejudices and discriminate treatment. To further understand the causes of such discriminate treatment within the restaurant context, this article analyzes primary survey data derived from a community sample of servers (N = 200) to assess the explanatory power of one posited explanation—statistical discrimination. Taken as a whole, findings suggest that while a statistical discrimination framework toward understanding variability in servers’ discriminatory behaviors should not be disregarded, the framework’s explanatory utility is limited. Servers’ inferences about the potential profitability of waiting on customers across racial groups explain little of the overall variation in subjects’ self-reported discriminatory behaviors, thus suggesting that other factors not explored in this research are clearly operating and should be the focus of future inquires.     

Tolerance limits under Poisson regression based on small-sample asymptotic methodology

This article explores the calculation of tolerance limits for the Poisson regression model based on the profile likelihood methodology and small-sample asymptotic corrections to improve the coverage probability performance. The data consist of n counts, where the mean or expected rate depends upon covariates via the log regression function. This article evaluated upper tolerance limits as a function of covariates. The upper tolerance limits are obtained from upper confidence limits of the mean. To compute upper confidence limits the following methodologies were considered: likelihood based asymptotic methods, small-sample asymptotic methods to improve the likelihood based methodology, and the delta method. Two applications are discussed: one application relating to defects in semiconductor wafers due to plasma etching and the other examining the number of surface faults in upper seams of coal mines. All three methodologies are illustrated for the two applications.     

Common law union as a differentiating factor in the failure of marriage in Canada, 1984

Using the 1984 Canadian Family History Survey, the authors attempt to ascertain the effect of common-law unions on the subsequent failure of marriage, operationalized as those ending in divorce or separation. Techniques employed include crosstabulations and hazards-model analysis. It is concluded that marriages preceded by a common-law union have a greater chance of dissolution. The paper and the results of the analysis clarify some of the contradictions presented in previous research.     

Leveraging historical data into oncology development programs: Two case studies of phase 2 Bayesian augmented control trial designs

Leveraging historical data into the design and analysis of phase 2 randomized controlled trials can improve efficiency of drug development programs. Such approaches can reduce sample size without loss of power. Potential issues arise when the current control arm is inconsistent with historical data, which may lead to biased estimates of treatment efficacy, loss of power, or inflated type 1 error. Consideration as to how to borrow historical information is important, and in particular, adjustment for prognostic factors should be considered. This paper will illustrate two motivating case studies of oncology Bayesian augmented control (BAC) trials. In the first example, a glioblastoma study, an informative prior was used for the control arm hazard rate. Sample size savings were 15% to 20% by using a BAC design. In the second example, a pancreatic cancer study, a hierarchical model borrowing method was used, which enabled the extent of borrowing to be determined by consistency of observed study data with historical studies. Supporting Bayesian analyses also adjusted for prognostic factors. Incorporating historical data via Bayesian trial design can provide sample size savings, reduce study duration, and enable a more scientific approach to development of novel therapies by avoiding excess recruitment to a control arm. Various sensitivity analyses are necessary to interpret results. Current industry efforts for data transparency have meaningful implications for access to patient‐level historical data, which, while not critical, is helpful to adjust for potential imbalances in prognostic factors.     

The evolutionary anthropology of political leadership

Existing approaches within leadership studies often share a bias towards industrialized societies and lack broader cross-cultural and ethological reference. Meanwhile, cross-cultural and evolutionary approaches within anthropology are actively working to unify research on leadership and followership across the biological and social sciences. This review provides a novel and thorough view of political leadership as investigated by evolutionary anthropologists and highlights the benefits of incorporating findings from the evolutionary social sciences into leadership studies generally. We introduce the anthropological approach to leadership; describe evolutionary anthropology, its subdisciplines (including primatology, paleoanthropology, paleogenetics, human behavioral ecology, and gene-culture coevolution), and its complementary disciplines (particularly evolutionary psychology); review leadership and hierarchy in nonhumans, including our extinct hominid ancestors; review female leadership and sex-differences; and, primarily, discuss the relationships between evolution, ecology, and culture as they relate to the observed patterns of political leadership and followership across human societies. Through evolutionary anthropology's diverse toolkit, a deeper insight into the evolution and cross-cultural patterning of leadership is realized.