Finite Population Variance Estimation in Presence of Measurement Errors

In this article, we propose a class of estimators for the population variance of a quantity of interest. The estimators in the class use auxiliary information to improve efficiency, and we suppose that measurement errors are present both in the study and auxiliary variate. We take into account such problem using a regression approach. We show that the class proposed is quite flexible and general, allowing to consider many kinds of information as auxiliary one. Comparisons within estimators in the class are studied theoretically and through simulations.     

Strategies for Implementing a Tobacco-Free Campus Policy

Abstract

This report examines the rationale for creating a tobacco-free campus to utilize in passing antitobacco policies, and recommendations for overcoming barriers. As with any type of advocacy effort, a variety of impediments exist, including lack of administrative and staff support, absence of student involvement, and sparse resources. A variety of potential remedies and advocacy opportunities are explored and delineated.     

A fast exact algorithm for the problem of optimum cooperation and the structure of its solutions

Given a graph G=(V,E) with edge weights w _e ∈ℝ, the optimum cooperation problem consists in determining a partition of the graph that maximizes the sum of weights of the edges with nodes in the same class plus the number of the classes of the partition. The problem is also known in the literature as the optimum attack problem in networks. Furthermore, a relevant physics application exists.     

Sibling Facilitation Mediates the Association Between Older and Younger Sibling Alcohol Use in Late Adolescence

Previous research has shown adolescent siblings are similar in their alcohol use and that this similarity is largely due to their shared environment. Using a genetically informed sibling sample (196 full‐biological pairs, 384 genetically unrelated pairs), we confirmed that the extent to which older siblings facilitate younger siblings' alcohol use (i.e., help them get alcohol) was one factor contributing to this shared environmental association. All analyses controlled for parent and peer influences. Findings were not moderated by sibling differences in genetic relatedness, gender, or ethnicity. Proximity in sibling age strengthened these associations, somewhat. Results were especially strong for sibling pairs where the older sibling was of legal drinking age. Implications for prevention and intervention are discussed.     

Becoming a (Pan)ethnic Attorney: How Asian American and Latino Law Students Manage Dual Identities

Managing professional and personal identities often belabor upwardly mobile racialized individuals. I examine in this article how Asian American and Latino law students negotiate (pan)ethnic identities while learning to become lawyers. I contend that managing dual identities creates (pan)ethnic duty among Asian American and Latino law students. I focus on those planning to work in law firms, at least initially. While there are many career options for law students, most, irrespective of race, pursue initial careers at law firms. What leads them there? How do racialization and expectations play a role in this career aspiration? And how do students negotiate the pressure to give back, or manage the internally/externally imposed duty they feel to serve respective communities? I find that Asian American and Latino law students draw on a repertoire of strategies (marginal panethnicity, tempered altruism, and instrumental ethnicity) that encompass different accounts, identities, and roles enabling creativity and elasticity for professional and personal identities. The findings suggest that panethnicity remains salient for upwardly mobile individuals of color, even those who do not ostensibly appear to be concerned with panethnic communities and causes.     

A marginalized diffusion model for estimating age at first lower endoscopy use from current status data

Summary.  We propose an approach for estimating the age at first lower endoscopy examination from current status data that were collected via two series of cross-sectional surveys. To model the national probability of ever having a lower endoscopy examination, we incorporate birth cohort effects into a mixed influence diffusion model. We link a state-specific model to the national level diffusion model by using a marginalized modelling approach. In future research, results from our model will be used as microsimulation model inputs to estimate the contribution of endoscopy examinations to observed changes in colorectal cancer incidence and mortality.     

An improved class of estimators for the population mean

Starting from the Rao (Commun Stat Theory Methods 20:3325–3340, 1991) regression estimator, we propose a class of estimators for the unknown mean of a survey variable when auxiliary information is available. The bias and the mean square error of the estimators belonging to the class are obtained and the expressions for the optimum parameters minimizing the asymptotic mean square error are given in closed form. A simple condition allowing us to improve the classical regression estimator is worked out. Finally, in order to compare the performance of some estimators with the regression one, a simulation study is carried out when some population parameters are supposed to be unknown.     

Testing the Comparability of Different Types of Social Indicators Across Groups

The social indicator movement has realized a considerable increase in importance during the last 50 years. This happened not the least by the publications in the journal Social Indicators Research. Social indicators have been developed for many aspects of life. The scores on these indicators often are compared through time and across groups. An essential requirement for such research is that the measures used are comparable through time and across groups. The comparability through time is not such a big problem but the comparability of measures across groups is not so obvious. This requires harmonization of indicators based on objective variables and invariance testing for indicators based on subjective and objective variables. In this paper we discuss how the comparability of different types of social indicators based on subjective and objective variables can be tested using invariance testing. This is a relevant issue because the existing testing procedure is designed for only one type of social indicators and this test is not directly applicable on the other types of social indicators.     

Measurement Invariance in Multilingual Survey Research: The Role of the Language of the Questionnaire

This paper examines whether or not survey measures asked to two linguistic groups exhibit invariance within a country. It tests configural, metric and scalar invariance in a model that distinguishes the response component and the cognitive component of the measurement process using survey items. Our findings show that when differences in the response process are allowed, concepts are (partially) invariant across groups. The analysis is conducted for items measuring some aspects of political trust and satisfaction with politics for six linguistic groups including French, Dutch, Estonian, German, Ukrainian and Russian in four countries. Data comes from the European Social Survey.