“Want to Stay Over?” Demographic,Intrapersonal, and Relational Differences Among Those Who Date,Stay-Over,and Cohabit

This study explored the potential uniqueness of staying over, or spending the night with a romantic partner, as a relationship status. Using a recent sample of 2,304 individuals in romantic relationships, we explored how staying over might be associated with demographic, intrapersonal, and relational characteristics. Results suggested that individuals in “stay-over relationships” were similar to those in dating relationships and that cohabiters, defined as those who lived with a romantic partner in the same residence, were the most likely to differ from those in other types of relationships on demographic, intrapersonal, and relational assessments. Staying over in the absence of cohabitation was not associated with differences in relationship outcomes once controls were taken into account, but cohabiters who were not spending the night together did report lower relationship satisfaction compared with cohabiters spending most nights together.     

Emotional Satisfaction and Physical Pleasure in Sexual Unions: Time Horizon,Sexual Behavior,and Sexual Exclusivity

This paper uses data from the 1992 National Health and Social Life Survey to examine emotional satisfaction and physical pleasure from sex in intimate unions for adults in the U.S. Using perspectives from evolutionary biology and rational choice theory, we examine the effects of the following factors on emotional satisfaction and physical pleasure: time horizon expected for the relationship, sexual behavior within the relationship, and sexual exclusivity. We find a significant effect of measures for all 3 of these dimensions on emotional satisfaction with sex. For both men and women, time horizon and sexual exclusivity are more strongly tied to emotional satisfaction than they are to physical pleasure from sex, but sexual behavior has the same impact on emotional satisfaction as it does on physical pleasure.     

A GIS-Based Framework for Hazardous Materials Transport Risk Assessment

This article presents a methodology for assessment of the hazardous materials transport risk in a multicommodity, multiple origin-destination setting. The proposed risk assessment methodology was integrated with a Geographical Information System (GIS), which made large-scale implementation possible. A GIS-based model of the truck shipments of dangerous goods via the highway network of Quebec and Ontario was developed. Based on the origin and destination of each shipment, the risk associated with the routes that minimize (1) the transport distance, (2) the population exposure, (3) the expected number of people to be evacuated in case of an incident, and (4) the probability of an incident during transportation was evaluated. Using these assessments, a government agency can estimate the impact of alternative policies that could alter the carriers' route choices. A related issue is the spatial distribution of transport risk, because an unfair distribution is likely to cause public concern. Thus, an analysis of transport risk equity in the provinces of Quebec and Ontario is also provided.     

Attitudes Toward Women in Health Care Organizations: A Turkish Case Study

Abstract

The aim of this article is to examine the health care employees’ attitudes toward women in health care organizations in Turkey. It was measured using a 25-item scale by Spence, Helmreich, and Stapp (1973 Spence, J. T., Helmreich, R., & Stapp, J. (1973). A short version of the Attitudes toward Women Scale (AWS). Bulletin of the Psychonomic Society, 2(4), 219–220. doi:10.3758/BF03329252[Crossref] , [Google Scholar]). The study was conducted on 541 employees: 279 males and 262 females. Structural equation model (SEM) was applied to analyze the relationship between gender, marital status, and income and attitudes toward woman. The result of this analysis showed that the relations between gender, marital status, and income and attitudes toward woman were statistically significant. All three hypotheses were statistically supported. This result indicated that employees’ marital status and (monthly) income significantly predicted their scores of attitudes toward woman in a positive direction. Besides, employees’ gender significantly predicted their scores of attitudes toward woman in an inverse direction. Future research can focus on investigating the effects of the attitudes toward women on other elements (e.g., performance, motivation, job satisfaction) or a wider sample to reach more generalized results.     

On Causal Inferences for Personalized Medicine: How Hidden Causal Assumptions Led to Erroneous Causal Claims About the D-Value

Abstract

Personalized medicine asks if a new treatment will help a particular patient, rather than if it improves the average response in a population. Without a causal model to distinguish these questions, interpretational mistakes arise. These mistakes are seen in an article by Demidenko that recommends the “D-value,” which is the probability that a randomly chosen person from the new-treatment group has a higher value for the outcome than a randomly chosen person from the control-treatment group. The abstract states “The D-value has a clear interpretation as the proportion of patients who get worse after the treatment” with similar assertions appearing later. We show these statements are incorrect because they require assumptions about the potential outcomes which are neither testable in randomized experiments nor plausible in general. The D-value will not equal the proportion of patients who get worse after treatment if (as expected) those outcomes are correlated. Independence of potential outcomes is unrealistic and eliminates any personalized treatment effects; with dependence, the D-value can even imply treatment is better than control even though most patients are harmed by the treatment. Thus, D-values are misleading for personalized medicine. To prevent misunderstandings, we advise incorporating causal models into basic statistics education.     

Interregional flows of economically active persons in France, 1975–1982

Recent net interregional migration into southern and western France is widely appreciated, but much less is known about the composition of these flows in terms of the occupational characteristics of economically active migrants. Using results from the 1982 census, this article disaggregates net flows to reveal inflows and outflows of migrants defined by gender and occupational groups. Important differences between these groups with regard to absolute flows and geographical mobility are uncovered and discussed in relation to the new spatial division of labor perspective on counterurbanization.     

Infants' Ability to Distinguish Between Intentional and Accidental Actions and Its Relation to Internal State Language

The experiment reported here investigated infants' concept of intention, as well as the relation among intention understanding, general productive vocabulary, and internal state language production during the 2nd year. Results from an imitation task indicated that 18‐month‐olds are better able to differentiate between intentional and accidental actions than 14‐month‐olds. Although there was no relation between infants' performance on the intention task and their general productive vocabulary, internal state language production at 30 months was predicted by infants' ability to differentiate between intentional and accidental actions about a year earlier. These findings shed light on the developmental progression of infants' concept of intention, as well as on the continuity between infants' understanding of intentional action and their ability to use internal state words.     

Mixture designs for five components in orthogonal blocks

The methods developed by John and Draper et al. of partitioning the blends (runs) of four mixture components into two or more orthogonal blocks when fitting quadratic models are extended to mixtures of five components. The characteristics of Latin squares of side five are used to derive rules for reliably and quickly obtaining designs with specific properties. The designs also produce orthogonal blocks when higher order models are fitted.     

Peak performing organisations

The literature on organisational performance is riddled with measurement problems that cannot easily be solved. In contrast we argue that elite theory in terms of performance can be more easily measured by the win record of sports organisations. Accordingly, this article argues that certain organisational peak practices are key to understanding how peak performance is sustained. Through data collected from the top ten sports organisations in the world we introduce the embryonic theory of Peak Performing Organisations (PPO). Sustained PPO practices offer more robust outcomes than the genre of High Performing Organisations.