An omnibus lack of fit test in logistic regression with sparse data

The usefulness of logistic regression depends to a great extent on the correct specification of the relation between a binary response and characteristics of the unit on which the response is recoded. Currently used methods for testing for misspecification (lack of fit) of a proposed logistic regression model do not perform well when a data set contains almost as many distinct covariate vectors as experimental units, a condition referred to as sparsity. A new algorithm for grouping sparse data to create pseudo replicates and using them to test for lack of fit is developed. A simulation study illustrates settings in which the new test is superior to existing ones. Analysis of a dataset consisting of the ages of menarche of Warsaw girls is also used to compare the new and existing lack of fit tests.     

Long memory estimation for complex-valued time series

Statistics and Computing - Long memory has been observed for time series across a multitude of fields, and the accurate estimation of such dependence, for example via the Hurst exponent, is crucial...     

Myths about Russia

This article provides an interdisciplinary theoretical analysis of contemporary social mythology and summarizes the results of an empirical study. The main groups of mythologized images of Russia in the consciousness of modern youth include: mythologized images of Russian domain and the historical perspective of Russia; symbolic and metaphorical images of Russia; and the types of social world views that young people have. The aspects of the constructive and destructive impacts of myths about Russia described in this article may be used to analyze and interpret individual and group images of Russia among young people and to develop recommendations for preventing the destructive impact of the mythologization of Russia's image on the social processes and consciousness of modern youth.     

Measuring Unidimensional Inequality: Practical Framework for the Choice of an Appropriate Measure

Social Indicators Research - Inequality and its analysis have received increasing attention in the literature over the last decades, which has led to the development of a large number of inequality...     

Early socialization of hostile attribution bias: The roles of parental attributions,parental discipline,and child attributes

The goal of this study was to examine child and parent predictors of children's hostile attribution bias (HAB) with a particular focus on exploring the associations between parents’ early attribution of child misbehavior and children's HAB in the transition to school age. Participants were 241 children (118 girls) of middle‐income families who were at risk for school‐age conduct problems. Multi‐method, multi‐informant data were collected on maternal attributions of child misbehavior, parental use of corporal punishment, and child attributes (i.e., verbal IQ, effortful control, theory of mind, and emotional understanding) at 3 years, and child HAB in ambiguous situations at 6 years. Results indicated that mothers’ internal explanations for children's misconduct may either reduce or increase children's later HAB depending on the specific content of attributions, such that mothers’ belief that children misbehave because of their internal state (i.e., emotional state or temperament) was associated with lower levels of child HAB, whereas attributing power‐based motives (i.e., manipulative, controlling intentions) in children was associated with higher levels of HAB. The findings are discussed with respect to appreciating the complexity of parents’ explanations for children's behavior, and considering parental cognition as a potential target for early identification and prevention of child HAB and related problems.     

Abortion Underreporting in Add Health: Findings and Implications

Population Research and Policy Review - Well-documented, large-scale abortion underreporting on U.S. surveys raises questions about the use of abortion self-reports for statistical inference. This...     

Efficient Monte Carlo simulation via the generalized splitting method

We describe a new Monte Carlo algorithm for the consistent and unbiased estimation of multidimensional integrals and the efficient sampling from multidimensional densities. The algorithm is inspired by the classical splitting method and can be applied to general static simulation models. We provide examples from rare-event probability estimation, counting, and sampling, demonstrating that the proposed method can outperform existing Markov chain sampling methods in terms of convergence speed and accuracy.     

Birth and initiation on the Peers Plantation: the problem of creolization in seventeenth-century Barbados

A central debate within slavery studies centers on the question of whether enslaved Africans ‘retained’ their cultures or became ‘creolized’ in the Americas. Focusing on two enslaved women and the six children they bore by their master in late seventeenth-century Barbados, this paper suggests how creolization operated in the early modern English Caribbean. The women and children were baptized and provided for in their master’s will. Yet they were also part of the plantation’s 180 strong West African enslaved population. Contextualizing all of the influences that shaped their experiences on Barbados, this paper examines naming, baptism, and birthing rituals to provide an account of the women’s lives that does not privilege either European or West African cultural practices. It argues that creolization was not a marker of identity, nor a unidirectional process of Europeanization, but rather a multivalent and multidirectional negotiation of cultural exchanges.     

Young adults in the United States and Benin reason about gendered cultural traditions

This study explored emerging and young adults’ reasoning about cultural practices in West Africa. American (Study 1, n = 78, M = 20.76 years) and Beninese (Study 2, n = 93, M = 23.61 years) undergraduates were surveyed about their evaluations of corporal punishment, scarification, and schooling restrictions in conditions where the practices had gender‐neutral or gender‐specified targets. In Study 1, the majority (69%) of American participants negatively evaluated the practices, especially when targets were female. However, the majority (73%) assumed the cultural practices were consensual. In Study 2, the majority (76%) of Beninese participants negatively evaluated the practices, and their evaluations did not vary by gender of the target. Few (10%) Beninese participants assumed the cultural practices were consensual. In both studies, emerging and young adults who initially judged practices positively changed their evaluations with a change in consent.     

New Data,Strategies, and Insights for Listeria monocytogenes Dose‐Response Models: Summary of an Interagency Workshop, 2011

Listeria monocytogenes is a leading cause of hospitalization, fetal loss, and death due to foodborne illnesses in the United States. A quantitative assessment of the relative risk of listeriosis associated with the consumption of 23 selected categories of ready‐to‐eat foods, published by the U.S. Department of Health and Human Services and the U.S. Department of Agriculture in 2003, has been instrumental in identifying the food products and practices that pose the greatest listeriosis risk and has guided the evaluation of potential intervention strategies. Dose‐response models, which quantify the relationship between an exposure dose and the probability of adverse health outcomes, were essential components of the risk assessment. However, because of data gaps and limitations in the available data and modeling approaches, considerable uncertainty existed. Since publication of the risk assessment, new data have become available for modeling L. monocytogenes dose‐response. At the same time, recent advances in the understanding of L. monocytogenes pathophysiology and strain diversity have warranted a critical reevaluation of the published dose‐response models. To discuss strategies for modeling L. monocytogenes dose‐response, the Interagency Risk Assessment Consortium (IRAC) and the Joint Institute for Food Safety and Applied Nutrition (JIFSAN) held a scientific workshop in 2011 (details available at http://foodrisk.org/irac/events/ ). The main findings of the workshop and the most current and relevant data identified during the workshop are summarized and presented in the context of L. monocytogenes dose‐response. This article also discusses new insights on dose‐response modeling for L. monocytogenes and research opportunities to meet future needs.