The possibility of group choice: pairwise comparisons and merging functions

Preferences in Arrow’s conditions are ordinal. Here we show that when intensity of preference represented by reciprocal pairwise comparisons is considered, it is always possible to construct an Arrowian social welfare function using a two-stage social choice process. In stage 1, the individual pairwise relations are mapped into a social pairwise relation. In stage 2, the social pairwise relation is used to generate a cardinal ranking and this ranking is then used to select a particular member of the choice set.     

Nativity and citizenship status affect Latinos’ health insurance coverage under the ACA

ABSTRACT

The 2010 Patient Protection and Affordable Care Act (ACA) aimed to increase health insurance access for the over 47 million uninsured people in the U.S.A., among whom ethnoracial minorities had the highest uninsured rates before the ACA. Studies have shown that Latinos have had the greatest improvements in health coverage under the ACA, but many may be at a significant disadvantage, specifically due to their nativity and immigration status, as the ACA explicitly excludes unauthorised immigrants from most of its provisions. Using the 2015 Latino National Health and Immigration Survey, a nationally representative sample of Latinos (n?=?1493), we find that variation in health insurance access among Latinos can be traced to immigration status. This study finds no differences among U.S.-born versus foreign-born Latinos in the likelihood of being uninsured in 2015. However, among foreign-born Latinos, unauthorised immigrants are five times more likely than naturalised citizens to be uninsured and less likely to visit a primary care provider or clinic, even after controlling for other factors including language, income and education.     

A bivariate generalized geometric distribution with applications

This paper proposes a bivariate version of the univariate discrete generalized geometric distribution considered by Gómez–Déniz (2010 Gómez–Déniz, E. (2010). Another generalization of the geometric distribution. Test 19:399–415.[Crossref], [Web of Science ®] , [Google Scholar]). The proposed bivariate distribution can have a positive or negative correlation coefficient which can be used for modeling bivariate-dependent count data. After discussing some of its properties, maximum likelihood estimation is discussed. Two illustrative examples are given for fitting and demonstrating the usefulness of the new bivariate distribution proposed here.     

Furniture dimensions and postural overload for schoolchildren's head, upper back and upper limbs

The aim of this study was to evaluate how the fixed furniture dimensions match with students' anthropometry and to describe head, upper back and upper limbs postures and movements. Evaluation was performed in 48 students from a Brazilian state school. Furniture dimensions were measured with metric tape, movements and postures by inclinometers (Logger Tecknologi, ?karp, Sweden). Seat height was high for 21% and low for 36% of the students; seat length was short for 45% and long for 9% and table height was high for 53% and low for 28%. Regression analysis showed that seat/popliteal height quotient is explained by 90th percentile of upper back inclination (β=0.410) and 90th percentile of right upper arm elevation (β=-0.293). For seat/thigh length quotient the significant variables were 90th percentile of upper back velocity (β=-0.282) and 90th percentile of right upper arm elevation (β=0.410). This study showed a relationship between furniture mismatch and postural overload. When the seat height is low students increase upper back left inclination and right upper arm elevation; when the seat is short students decrease the upper back flexion velocity and increase right upper arm elevation.     

Protection or pleasure: female footwear

This article addresses the love for shoes by the perspective of design and emotion. Reviewing the footwear history, we realize that it did not take too long for the shoes start to have new functions, aesthetic and symbolic, which eventually came to have greater relevance in the acquisition of women's shoes. Today, these outweigh the importance of physical comfort for many women, that once feeling pretty, do not realize the discomfort of the shoe. Studies indicate that the objects we love have a strong influence on our sense of identity, especially when dealing with clothing articles that have the power to show on our appearance our identity, tastes and preferences. Crossing the semiotics field, the footwear is analyzed as an object of feminine desire, imbued with symbolic relations. As a result, we propose a framework to describe the emotional relationship between women and shoes.     

Analysis of the work of air traffic controllers of the approach control area (APP) of Porto Alegre, Brazil

This article presents a study on the activities of the air traffic controllers of the Approach Control Area (APP) of Porto Alegre, Brazil, in different real scenarios. Based on interviews, questionnaires and the analysis of film of real scenes, the following were identified and analyzed: i) the perceptions of risk and complexity of the different air traffic scenes observed; ii) the cognitive factors (knowledge, strategy and attention dynamics) involved in the task and iii) the perception of the controller's workload. The results showed that the task complexity depends on the weather conditions, the number and type of aircraft in observation and that the controllers perceive the scenes in a similar way irrespective of their time in the profession and the type of control (radar or coordination). Attention is the cognitive factor with the greatest impact on the work and mental demand has the greatest impact on workload followed by time demand. The literature on the controllers work in Brazil is scarce and, therefore, this study aimed to contribute to the understanding of the work in one APP in order to promote future changes in the very problematic Brazilian air traffic system.     

An Examination of the Roman Catholic Church’s Agenda-Setting Function in Argentina

A yearly document produced by the Catholic Bishops in Argentina was compared to media coverage before and after its release. The document negatively correlated with media coverage in both time periods, with issues emphasized in the document appearing low on the media agenda. The top three issues in it, however, did receive more coverage after its release. The newspapers also displayed strong partisanship, with the newspaper most critical of the Church being the most negative.     

Fitting the Lognormal Distribution to Surgical Procedure Times*

Minimum surgical times are positive and often large. The lognormal distribution has been proposed for modeling surgical data, and the three‐parameter form of the lognormal, which includes a location parameter, should be appropriate for surgical data. We studied the goodness‐of‐fit performance, as measured by the Shapiro‐Wilk p‐value, of three estimators of the location parameter for the lognormal distribution, using a large data set of surgical times. Alternative models considered included the normal distribution and the two‐parameter lognormal model, which sets the location parameter to zero. At least for samples with n > 30, data adequately fit by the normal had significantly smaller skewness than data not well fit by the normal, and data with larger relative minima (smallest order statistic divided by the mean) were better fit by a lognormal model. The rule “If the skewness of the data is greater than 0.35, use the three‐parameter lognormal with the location parameter estimate proposed by Muralidhar & Zanakis (1992), otherwise, use the two‐parameter model” works almost as well at specifying the lognormal model as more complex guidelines formulated by linear discriminant analysis and by tree induction.     

MEASUREMENT OF MULTIPLE SITES IN SERVICE FIRMS WITH DATA ENVELOPMENT ANALYSIS

Data envelopment analysis (dea) has become an increasingly popular method to measure performance for service firms with multiple sites. DEA is superior to many traditional methods for firms that have multiple goals. The promise of DEA is that the complex, multi-objective problem of performance measurement can be reduced to a single number. Unfortunately, the practice of DEA often belies the promise. Misconceptions concerning the purpose and implementation of DEA can cause DEA applications to be less than successful. Here, the technique is explained, and a guide to the implementation of DEA is proposed, utilizing DEA studies of retail bank branches.