A walk on the applied side: Sociology and training research

This article presents a topic that sociologists rarely research but which holds great promise for the future—training. Sociologists spend a good deal of time investigating education but generally neglect the field of training. Little effort is spent on investigating training, why it’s done, how it’s done, what effect it has, who gets it, when it’s appropriate, or where it takes place. Sociologists tend to leave these issues to psychologists of various specialties or to professional trainers and training developers. The article identifies some major training-related issues, sociological specialty areas that apply to training-related research, areas of research that are of likely interest to sociologists and what sociologists might do to get involved in training research. He is on loan from the Armstrong Laboratory, Technical Training Research Division at Brooks AFB, TX, 78235. The views expressed in this article are those of the author and do not necessarily reflect the views of the U.S. Air Force or the Department of Defense. An earlier version of this paper was presented at the Southwest Sociological Association Annual Conference in March 1993.     

A Bayes-type estimator for the Bradley-Terry model for paired comparison

A Bayes-type estimator is proposed for the worth parameter π_i and for the treatment effect parameter ln π_i in the Bradley-Terry Model for paired comparison. In contrast to current Bayes estimators which require iterative numberical calculations, this estimator has a closed form expression. This estimation technique is also extended to obtain estimators for the Luce Multiple Comparison Model. An application of this technique to a 2³ factorial experiment with paired comparisons is presented.     

Polish-Jewish Relations 1903–1914: The View from the Chancellery

This article discusses Wajda’s discourse on class. First it identifies the most important problems the concept raises when applied to Wajda’s characters and narratives. Next, it discusses the director’s representation and evaluation of three types of characters: the intelligentsia, the working class, and individuals who fall in between these two groups. In addition, the article analyzes how the representation of class is influenced by Wajda’s attitude toward gender and ethnicity. It concludes that his attitude to the class system in Poland is conservative and identifies some of the factors that influenced him. This article is an exploration of these issues, rather than an analysis of his films. Priority is given to films set during and after the second World War.     

Auxiliary variables for Bayesian inference in multi-class queueing networks

Queueing networks describe complex stochastic systems of both theoretical and practical interest. They provide the means to assess alterations, diagnose poor performance and evaluate robustness across sets of interconnected resources. In the present paper, we focus on the underlying continuous-time Markov chains induced by these networks, and we present a flexible method for drawing parameter inference in multi-class Markovian cases with switching and different service disciplines. The approach is directed towards the inferential problem with missing data, where transition paths of individual tasks among the queues are often unknown. The paper introduces a slice sampling technique with mappings to the measurable space of task transitions between the service stations. This can address time and tractability issues in computational procedures, handle prior system knowledge and overcome common restrictions on service rates across existing inferential frameworks. Finally, the proposed algorithm is validated on synthetic data and applied to a real data set, obtained from a service delivery tasking tool implemented in two university hospitals.     

SIMULATION OF INFORMATION CHOICE

Beginning with the information economics framework and a multi-period decision model [15], this paper considers the use of computer simulation methods within an information system choice environment. Actual decision behavior is replaced by optimal decision rules, and simulation is used to evaluate the effects of parameter changes in the environmental model. Simulation is shown to be functional (1) in estimating the value of alternative information structures within a fifteen period decision model and (2) in providing sensitivity and statistical data which would be useful both for different decision maker utility functions and for a variety of information system design questions.     

Daily links between school problems and youth perceptions of interactions with parents: A diary study of school‐to‐home spillover

This study examined how academic and peer problems at school are linked to family interactions at home on the same day, using eight consecutive weeks of daily diary data collected from early adolescents (60% female; M age = 11.28, SD = 1.50), mothers and fathers in 47 families. On days when children reported more academic problems at school, they, but not their parents, reported less warmth and more conflict with mothers, and more conflict and less time spent around fathers. These effects were partially explained by same‐day child reports of higher negative mood. Peer problems were less consistently associated with parent‐child interactions over and above the effects of academic problems that day. A one‐time measure of parent‐child relationship quality moderated several daily associations, such that the same‐day link between school problems and child‐report of family interactions was stronger among children who were closer to their parents.     

The Effects of Urban Form on Ambient Air Pollution and Public Health Risk: A Case Study in Raleigh,North Carolina

Since motor vehicles are a major air pollution source, urban designs that decrease private automobile use could improve air quality and decrease air pollution health risks. Yet, the relationships among urban form, air quality, and health are complex and not fully understood. To explore these relationships, we model the effects of three alternative development scenarios on annual average fine particulate matter (PM_2.5) concentrations in ambient air and associated health risks from PM_2.5 exposure in North Carolina's Raleigh‐Durham‐Chapel Hill area. We integrate transportation demand, land‐use regression, and health risk assessment models to predict air quality and health impacts for three development scenarios: current conditions, compact development, and sprawling development. Compact development slightly decreases (?0.2%) point estimates of regional annual average PM_2.5 concentrations, while sprawling development slightly increases (+1%) concentrations. However, point estimates of health impacts are in opposite directions: compact development increases (+39%) and sprawling development decreases (?33%) PM_2.5‐attributable mortality. Furthermore, compactness increases local variation in PM_2.5 concentrations and increases the severity of local air pollution hotspots. Hence, this research suggests that while compact development may improve air quality from a regional perspective, it may also increase the concentration of PM_2.5 in local hotspots and increase population exposure to PM_2.5. Health effects may be magnified if compact neighborhoods and PM_2.5 hotspots are spatially co‐located. We conclude that compactness alone is an insufficient means of reducing the public health impacts of transportation emissions in automobile‐dependent regions. Rather, additional measures are needed to decrease automobile dependence and the health risks of transportation emissions.