Identifying Factors that Influence State-specific Hunger Rates in the U.S.: A Simple Analytic Method for Understanding a Persistent Problem

An existing measure of food insecurity with hunger in the United States may serve as an effective indicator of quality of life. State level differences in that measure can reveal important differences in quality of life across places. In this study, we advocate and demonstrate two simple methods by which analysts can explore state-specific contributions to state-specific hunger rates. Using existing survey data and the U.S. Department of Agriculture measure of household food insecurity with hunger, we illustrate how comparing group-specific hunger rates within states and how the demographic method of standardization can both be used to assess how a state’s population and local characteristics influence hunger rates and other quality of life indicators associated with hunger.     

Why people feel crowded: An examination of objective and subjective crowding

Prior studies have found only a modest relationship between objective and subjective crowding, defying logic and commonsensical notions of why people feel crowded. Using data from a representative sample of Bangkok, Thailand, where the level of household crowding is four times that in western societies, we explore several possibilities of why this is the case. Examining seven different indicators of objective crowding, our analyses suggest that the modest relationship is not an artifact of measurement. Contrary to the assumption of prior investigations, the findings indicate that the objective-subjective crowding relationship is nonlinear and that there is a ceiling effect muting the impact of increased objective crowding. The analyses further suggest that the strength of the relationship is mitigated somewhat, with part of the feeling of being crowded accounted for by household circumstances, such as the degree of control an individual has over the use of household space.     

Psychometric analysis of the UK Health and Safety Executive's Management Standards work-related stress Indicator Tool

Abstract

Numerous tools have been developed that attempt to measure work-related stress and working conditions, but few practical instruments in the literature have been found to have a reliable psychometric factor structure. In the UK, the Health and Safety Executive (HSE) Management Standards (MS) Indicator Tool is increasingly used by organizations to monitor working conditions that can lead to stress. In Health and Safety Executive (2004), a factor analysis was conducted demonstrating the reliability of the scales. However, the authors acknowledged that direct reassessment of the same factor structure was impossible as the questionnaire was split into two separate modules for data collection. Furthermore, the tool is designed to enable comparisons between as well as within organizations to take place, yet reliability has only previously been tested at the individual level. The current study is the first to examine the factor structure of the HSE MS Indicator Tool using organizational-level data. Data collected from 39 UK organizations (N=26,382) was used to perform a first-order Confirmatory Factor Analysis (CFA) on the original 35-item seven-factor measurement scale. The results showed an acceptable fit to the data for the instrument. A second-order CFA was also performed to test if the Indicator Tool contains a higher order uni-dimensional measure of work-related stress. These findings also revealed an acceptable fit to the data, suggesting that it may be possible to derive a single measure of work-related stress. Normative data comprising tables of percentiles from the organizational data are provided to enable employers to compare their organizational averages against national benchmarks.     

The L(2,1)-labelling problem for cubic Cayley graphs on dihedral groups

A k-L(2,1)-labelling of a graph G is a mapping f:V(G)→{0,1,2,…,k} such that |f(u)?f(v)|≥2 if uv∈E(G) and f(u)≠f(v) if u,v are distance two apart. The smallest positive integer k such that G admits a k-L(2,1)-labelling is called the λ-number of G. In this paper we study this quantity for cubic Cayley graphs (other than the prism graphs) on dihedral groups, which are called brick product graphs or honeycomb toroidal graphs. We prove that the λ-number of such a graph is between 5 and 7, and moreover we give a characterisation of such graphs with λ-number 5.     

Uncertainty and the Rise of the Work‐Family Dilemma

Existing research argues that women's wages, consumerism, and changing attitudes dismantled the male bread‐winner system. Families' economic need is dismissed with the suggestion that mothers' rhetoric of “need” was a smoke screen to defend against social stigma for working mothers. Drawing on biennial data from 1965 to 1987, I suggest that consumptive certainty of the 1950s and 1960s gave way to economic uncertainty in the 1970s and beyond. Economic uncertainty provided impetus, legitimacy, and justification for young families to adopt new work‐family arrangements. Hence, economic uncertainty is conceptualized as a real circumstance that substantiates families' reasonable perceptions of need.     

Mothers and child care: policies,values and theories

Government expansion of child care services is based on the assumption that both parents are employed (the adult worker model) and make cost‐benefit calculations in choosing child care (the rational economic choice model). This paper addresses this assumption, based on research examining mothers' assessments of appropriate child care. These assessments involve complex moral and emotional decisions around their own and their children's needs, and differ between social groups. On this basis, we conclude that the assumptions underlying current child care expansion policy are inadequate, and that the mere expansion of services is not enough.     

Patterns of Conflict About Risky Technologies

This paper examines taxonomies for classifying risks and conflicts about risky technologies. First, we describe six levels of conflict that represent various " shades of gray" between purely factual and purely value laden conflicts in technology disputes. Subsequently, we survey several recent taxonomies of risks and hazards that were at least partly intended to clarify the nature of the public conflicts about technologies and their risks. After pointing out that non-risk features frequently shape technology debates, we develop a taxonomy of the disputes themselves, based on a collection of 162 cases. Our taxonomy of technological controversies is related to the recent risk taxonomies and to the different levels of conflict. It turns out that the different technological disputes create quite different levels of conflict ranging from mainly factual (consumer products, drugs) to extremely value laden (nuclear power, genetic engineering). Depending on the type of controversy and level of conflict we suggest alternative conflict management strategies.