Nonverbal intimacy,sex, and compliance: A field study

The present study was designed to explore further the effects of nonverbal behaviors and sex on compliance. Male and female subjects who had just found a dime in a phone booth were approached by a male or female experimenter and were asked to return the dime that the experimenter had supposedly just lost. In the Eye Contact condition, the experimenter gazed at the subject as the request was made, whereas in the No-Eye Contact condition he/she did not. In addition, the experimenter lightly touched half of the subjects while making his/her request, but did not touch the other half. Replicating previous findings, it was found that both eye contact (significantly) and touching (marginally) produced increased rates of compliance. Extending prior results, these effects were obtained for male experimenters. Furthermore, a Sex of experimenter times Sex of subject interaction effect was obtained, such that subjects were much more willing to comply with the request of an opposite, rather than same sex experimenter. Questionnaire data suggested that: 1) subjects were aware of the touch, but not of the eye contact variable, and 2) the requesters were perceived as much more attractive when they were of the opposite, rather than the same sex as the subjects.     

Surface Estimation, Variable Selection, and the Nonparametric Oracle Property

Variable selection for multivariate nonparametric regression is an important, yet challenging, problem due, in part, to the infinite dimensionality of the function space. An ideal selection procedure should be automatic, stable, easy to use, and have desirable asymptotic properties. In particular, we define a selection procedure to be nonparametric oracle (np-oracle) if it consistently selects the correct subset of predictors and at the same time estimates the smooth surface at the optimal nonparametric rate, as the sample size goes to infinity. In this paper, we propose a model selection procedure for nonparametric models, and explore the conditions under which the new method enjoys the aforementioned properties. Developed in the framework of smoothing spline ANOVA, our estimator is obtained via solving a regularization problem with a novel adaptive penalty on the sum of functional component norms. Theoretical properties of the new estimator are established. Additionally, numerous simulated and real examples further demonstrate that the new approach substantially outperforms other existing methods in the finite sample setting.     

Measuring Geographic Migration Patterns Using <Emphasis Type="Italic">Matrículas Consulares</Emphasis>

In this article, we show how to use administrative data from the Matrícula Consular de Alta Seguridad (MCAS) identification card program to measure the joint distribution of sending and receiving locations for migrants from Mexico to the United States. Whereas other data sources cover only a small fraction of source or destination locations or include only very coarse geographic information, the MCAS data provide complete geographic coverage of both countries, detailed information on migrants’ sources and destinations, and a very large sample size. We first confirm the quality and representativeness of the MCAS data by comparing them with well-known household surveys in Mexico and the United States, finding strong agreement on the migrant location distributions available across data sets. We then document substantial differences in the mix of destinations for migrants from different places within the same source state, demonstrating the importance of detailed substate geographical information. We conclude with an example of how these detailed data can be used to study the effects of destination-specific conditions on migration patterns. We find that an Arizona law reducing employment opportunities for unauthorized migrants decreased emigration from and increased return migration to Mexican source regions with strong initial ties to Arizona.     

Resilience to Discrimination and Rejection Among Young Sexual Minority Males and Transgender Females: A Qualitative Study on Coping With Minority Stress

Sexual minority and transgender status is associated with mental health disparities, which have been empirically and theoretically linked to stressors related to social stigma. Despite exposure to these unique stressors, many sexual minority and transgender individuals will not experience mental health disorders in their lifetime. Little is known about the specific processes that sexual minority and transgender youth use to maintain their wellbeing in the presence of discrimination and rejection. Semistructured interviews were conducted with 10 sexual minority males and transgender females aged 18–22 years, who currently met criteria for an operationalized definition of resilience to depression and anxiety. Data were analyzed qualitatively, yielding information related to a wide variety of problem-solving, support-seeking, and accommodative coping strategies employed by youth in the face of social stigma. Results are discussed in light of their clinical implications.     

Beyond Residential Segregation: Mobility-Based Connectedness and Rates of Violence in Large Cities

A longstanding finding is that neighborhood racial segregation is linked to violence. In this paper, we look beyond neighborhoods of residence to consider the everyday mobility of urbanites in their daily rounds. Analyzing estimates of neighborhood mobility from largescale social media data in the 50 largest American cities, we find that residential segregation by race is not only associated with higher violence but also lower equitability of travel across neighborhoods and a lower concentration of visits to common hubs. Further, the interaction of equitable and concentrated mobility is significantly associated with rates of violence, controlling for both racial and income segregation, education, city size, and density. There is little evidence, however, that patterns of everyday mobility mediate the influence of residential racial segregation. Both dimensions of the structural connectedness of cities—one rooted in place of residence, and the other encompassing interneighborhood exposure based on travel throughout the metropolis—are implicated in violence.     

Adjustment with three continuous variables

Correlation is not causation. Spurious association between X and Y may be due to a confounding variable W. Statisticians may adjust for W using a variety of techniques. This article presents the results of simulations conducted to assess the performance of these techniques under various, elementary, data-generating processes. The results indicate that no technique is best overall and that specific techniques should be selected based on the particulars of the data-generating process. Here, we show how causal graphs can guide the selection or design of techniques for statistical adjustment. R programs are provided for researchers interested in generalization.     

WEIGHING THE MILITARY OPTION: THE EFFECTS OF WARTIME CONDITIONS ON INVESTMENTS IN HUMAN CAPITAL

Serving in the military is an important vehicle through which young Americans invest in their human capital. As such, changes in the desirability of military service may affect the attainment of enlistment requirements, such as a high school degree or equivalent. Using American Community Survey data, we find that exposure to home‐state combat fatalities during the Iraq and Afghanistan Wars decreased the probability of high school completion, and increased the probability of general equivalency diploma completion. Using military data, we confirm that exposure to home‐state fatalities selectively deterred some individuals from enlisting. The results suggest military service and educational investments are complements. (JEL I20, I26, J24)     

Case-based methods and agent-based modelling: bridging the divide to leverage their combined strengths

Two leading camps for studying social complexity are case-based methods (CBM) and agent-based modelling (ABM). Despite the potential epistemological links between ‘cases’ and ‘agents,’ neither camp has leveraged their combined strengths. A bridge can be built, however, by drawing on Abbott’s insight that ‘agents are cases doing things’, Byrne’s suggestion that ‘cases are complex systems with agency’, and by viewing CBM and ABM within the broader trend towards computational modelling of cases. To demonstrate the utility of this bridge, we describe how CBM can utilise ABM to identify case-based trends; explore the interactions and collective behaviour of cases; and study different scenarios. We also describe how ABM can utilise CBM to identify agent types; construct agent behaviour rules; and link these to outcomes to calibrate and validate model results. To further demonstrate the bridge, we review a public health study that made initial steps in combining CBM and ABM.     

What Influences Business Academics’ Use of the Association of Business Schools (ABS) List? Evidence From a Survey of UK Academics

The development of the Association of Business Schools (ABS) list in 2007 and its rapid adoption by UK business schools has had a profound effect on the nature of business and management academics’ ways of working. Using a large‐scale survey of UK business academics, we assess the extent to which individuals use the Academic Journal Guide (AJG/ABS) list in their day‐to‐day professional activities. In particular, we explore how their perceptions of the list, the academic influence of their research, academic rank and organizational context drive the varied use. Building on prior research on the importance of univalent attitudes in predicting behaviour, we find those who have either strong positive or negative views of the list are more extensive users than those who are ambivalent. We also find that the extent of use of the AJG/ABS list is greatest among those academics who have lower academic influence, in the middle or junior ranks within business schools and in middle and low‐status universities. We explore the implications of these findings for the value of journal rankings and for the management of business schools.