Collaboration in sociology and other scientific disciplines: A comparative trend analysis of scholarship in the social, physical, and mathematical sciences

This inquiry examines comparative trends in collaboration among scholars, both over several decades and for several scientific disciplines. Findings suggest that in sociology specifically and science generally the trend is toward greater collaborative scholarship. At the turn of the twentieth century, better than 90 percent of the articles appearing in major periodicals in physics, biochemistry, biology, and chemistry were sole authored. Today, over 95 percent of such articles are collaboratively published. Disciplines affiliated with the social and mathematical sciences have experienced similar monotonic increases in collaborative activity, albeit, at a slower rate. A discussion of plausible explanations is offered for this observed growth in scientific collaboration.     

By our bootstraps: Origins and effects of the high-wage doctrine and the minimum wage

Conclusion  Although the high-wage doctrine — the belief that the level of aggregate demand is determined by the level of wage rates — is most often associated with the Great Depression, the doctrine’s effects on wage policy go back at least two decades further. Rather than having been a product of desperate times, the doctrine gained wide acceptance during the prosperous 1920s as businessmen and economists, citing the success of Henry Ford's continuing high-wage policies, and the (supposedly counterproductive) wage deflation that had marked the steep depression of 1920-21, applied the doctrine's demand-enhancing logic to push for an economy-wide minimum wage. The authors thank Fred Bateman, Don Bellante, Roger Garrison, Peter Klein, and Anthony Patrick O’Brien for thoughtful comments and suggestions.     

Using Model-Based Clustering to Improve Qualitative Inquiry: Computer-Aided Qualitative Data Analysis,Latent Class Analysis,and Interpretive Transparency

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - A combination of computer-aided qualitative data analysis (CAQDAS) and latent class analysis (LCA) can substantially...     

Animation in User Interfaces Designed for Decision Support Systems: The Effects of Image Abstraction,Transition, and Interactivity on Decision Quality*

This paper develops the idea of animation in user interfaces designed for decision support systems (DSS), proposes a framework to investigate the efficacy of animation in these interfaces, and reports on a study that examined the effects of properties of animation specified by the framework. Based on a review of selected background literature, principal properties affecting the efficacy of animation in user interfaces designed for DSS are identified and the effects on decision quality of three of these properties are hypothesized. To evaluate these hypotheses, data was collected in a laboratory experiment involving two different tasks. The results for both tasks indicate that animation in user interfaces designed for DSS should employ parallel as opposed to sequential navigation interactivity techniques. The decision quality of subjects that used a parallel navigation technique was significantly greater than that of those that used a sequential navigation interactivity technique. The results regarding the efficacy of image abstraction and transition effects varied by task. For one task, decision quality was significantly greater for subjects that used realistic as opposed to abstract images, but decision quality did not vary by transition effect. For the other task, decision quality was significantly greater for subjects that used gradual as compared to abrupt transition, but image abstraction had no effect on decision quality.     

A Bayesian analysis of clustered discrete and continuous outcomes

Many study designs yield a variety of outcomes from each subject clustered within an experimental unit. When these outcomes are of mixed data types, it is challenging to jointly model the effects of covariates on the responses using traditional methods. In this paper, we develop a Bayesian approach for a joint regression model of the different outcome variables and show that the fully conditional posterior distributions obtained under the model assumptions allow for estimation of posterior distributions using Gibbs sampling algorithm.     

Advancing Risk‐Informed Decision Making in Managing Defense Nuclear Waste in the United States: Opportunities and Challenges for Risk Analysis

An omnibus spending bill in 2014 directed the Department of Energy to analyze how effectively Department of Energy (DOE) identifies, programs, and executes its plans to address public health and safety risks that remain as part of DOE's remaining environmental cleanup liabilities. A committee identified two dozen issues and associated recommendations for the DOE, other federal agencies, and the U.S. Congress to consider, as well as other stakeholders such as states and tribal nations. In regard to risk assessment, the committee described a risk review process that uses available data, expert experience, identifies major data gaps, permits input from key stakeholders, and creates an ordered set of risks based on what is known. Probabilistic risk assessments could be a follow‐up from these risk reviews. In regard to risk management, the states, in particular, have become major drivers of how resources are driven. States use different laws, different priorities, and challenge DOE's policies in different ways. Land use decisions vary, technology choices are different, and other notable variations are apparent. The cost differences associated with these differences are marked. The net result is that resources do not necessarily go to the most prominent human health and safety risks, as seen from the national level.     

Economy and Divorces: Their Impact Over Time on the Self-Employment Rates in Spain

The paper used time-series data and examined the effect of economic and social variables on the male and female self-employment rates in Spain. We also employed cointegration analysis (with and without) structural breaks. We thus find strong evidence that long run relationships exist among the variables. More precisely, we find that the unemployment rates and the ratio of self-employment to employees’ earnings have a positive effect on self-employment, whereas, economic development and divorce rates have a negative effect. Importantly, we find that the economic variables have equal or stronger long run impact on females than males, with both groups reacting to changes in family circumstances. Finally, we show that the short run family circumstances are better predictors of self-employment choices rather than economic factors, with self-employment being a means of adjustment to new personal circumstances and economic needs.     

Too hot to handle: African Caribbean pupils and students as toxic consumers and commodities in the educational market

Secondary sources are used in this paper to highlight how African Caribbean pupils and students – the Black British-born descendants of post-war Caribbean migrants – are victims of symbolic violence, because they are denied the educational capital needed to improve their social status. Since African Caribbean children entered the 1960s British educational sector, their learning has been perceived as problematic by the State. Although assimilation, integration and multicultural education policies were implemented to supposedly address the ‘problem’ of educating Black children, subsequent government reports identified racism as a significant barrier in their education. I argue here that the contemporary marketisation of education makes it increasingly difficult to distinguish between racism and competition, as causal factors of ethnic differences in educational attainment. Moreover, due to increasing private sector intervention and decreasing mediation by the State, racism is now hidden within the vicissitudes of the educational market. School exclusions and discriminatory practices in universities are viewed in this paper as major barriers to the economic success and future social mobility of Black Caribbean pupils and students. I conclude by suggesting that marketisation policies can be appropriated to ameliorate racism in education, but only if the political will to do so exists.     

Risk of Antibiotic-Resistant Staphylococcus aureus Dispersion from Hog Farms: A Critical Review

The World Health Organization has declared antibiotic resistance “one of the biggest threats to global health.” Mounting evidence suggests that antibiotic use in industrial-scale hog farming is contributing to the spread of antibiotic-resistant Staphylococcus aureus. To capture available evidence on these risks, we searched peer-reviewed studies published before June 2017 and conducted a meta-analysis of these studies’ estimates of the prevalence of swine-associated, antibiotic-resistant S. aureus in animals, humans, and the environment. The 166 relevant studies revealed consistent evidence of livestock-associated methicillin-resistant S. aureus (MRSA) in hog herds (55.3%) raised with antibiotics. MRSA prevalence was also substantial in slaughterhouse pigs (30.4%), industrial hog operation workers (24.4%), and veterinarians (16.8%). The prevalence of swine-associated, multidrug-resistant S. aureus (MDRSA)—with resistance to three or more antibiotics—is not as well documented. Nonetheless, sufficient studies were available to estimate MDRSA pooled prevalence in conventional hog operation workers (15.0%), workers’ household members (13.0%), and community members (5.37%). Evidence also suggests that antibiotic-resistant S. aureus can be present in air, soil, water, and household surface samples gathered in or near high-intensity hog operations. An important caveat is that prevalence estimates for humans reflect colonization, not active infection, and the health risks of colonization remain poorly understood. In addition, these pooled results may not represent risks in specific locations, due to wide geographic variation. Nonetheless, these results underscore the need for additional preventive action to stem the spread of antibiotic-resistant pathogens from livestock operations and a streamlined reporting system to track this risk.     

Evaluating the Use of Commercially Available Wearable Wristbands to Capture Adolescents’ Daily Sleep Duration

Commercially available wearable devices are marketed as a means of objectively capturing daily sleep easily and inexpensively outside of the laboratory. Two ecological momentary assessment studies—with 120 older adolescents (aged 18–19) and 395 younger adolescents (aged 10–16)—captured nightly self‐reported and wearable (Jawbone) recorded sleep duration. Self‐reported and wearable recorded daily sleep duration were moderately correlated (r ~ .50), associations which were stronger on weekdays and among young adolescent boys. Older adolescents self‐reported sleep duration closely corresponded with estimates from the wearable device, but younger adolescents reported having an hour more of sleep, on average, compared to device estimates. Self‐reported, but not wearable‐recorded, sleep duration and quality were consistently associated with daily well‐being measures. Suggestions for the integration of commercially available wearable devices into future daily research with adolescents are provided.