Summarizing the Effect of a Wide Array of Amenity Measures into Simple Components

A significant issue existing within the rural economic development literature revolves around the difficulty with sorting out the controversy of the effects of amenity activities on rural economic growth. This problem is due to the different ways amenity attributes are linked to regional economic performance. Numerous researchers utilize principal component analysis to compress groups of variables that describe attributes of natural-based amenity and quality of life into scalar measures. While principal components are good at reducing a collection of variables into single measures, they often lack interpretability because they define some abstract scores which are often not meaningful or not well interpretable in practice. We apply the simple component analysis suggested by Rousson and Gasser (2004, Applied Statistics 53, 539–555) to summarize the information in groups of variables into a limited number of simple components and improve interpretability at a modest loss of optimality. Simple components allow us to identify and interpret the effect of attributes that most influence regional economic performance so as to gain better insight into policies to preserve and advance those attributes. The same methodology is appropriate for any social science discipline when there is a need to replace a larger number of multiple indicator measurements with a smaller set.     

Low-Income Children's Participation in a Public Health Insurance Program in Georgia

To expand health care coverage to uninsured, low-income children, the Congress created the State Children's Health Insurance Program (SCHIP) in 1997. Given ample evidence that state Medicaid programs have failed to enroll many eligible children, experts questioned whether SCHIP could successfully enroll low-income children. Using Georgia state SCHIP data, we analyzed enrollment patterns and identified factors contributing to program enrollment. This study found that the children's enrollment is explained by perceived costs and benefits of joining the program as well as the underlying family structure, demographic factors, and health status. We discuss implications of these findings on the participation of low-income families in public sector programs.     

Exploring the Unknown: Predicting the Responses of Publics not yet Surveyed

This article argues that cultural change is roughly predictable: to a large extent, it is shaped by a few variables included in a model of cultural modernization that is presented here. The beliefs and values of a society's people are also affected by unique world events and country-specific factors that would not fit into a general model, such as a given society's political parties and leaders, so our predictions will not be precisely accurate. Nevertheless, in this article we will stick our necks out and predict the locations on two major cultural dimensions of all the countries likely to be included in the next wave of the World Values Survey, to be carried out in 2005–2006. Using a simple predictive model based on our revised version of modernization theory, we first ‘predict’ and test the positions that 80 societies should have on a two major dimensions of cross-cultural variation in the most recent wave of surveys (carried out in 1999–2001); we find that our predictions are surprisingly accurate: the average prediction for a given country falls within a small radius of the location that is actually observed on the cross-cultural map (specifically: the average prediction and the actual location fall within a circle that occupies less than two percent of the map's area). We then use this same model to predict the survey responses that we expect to find for 120 countries that are most likely to be surveyed in the next wave of surveys, in 2005–2006. Almost half of these countries have not been included in our previous surveys (and a number have never been covered in any survey of which we are aware). These are genuine blind predictions – which we believe is an important challenge for social scientists. Our predictions will not be exactly correct; in some cases, they will not even be in the right ballpark. But we are confident that in the great majority of cases, they will come much closer to the observed results than would random guesses. We are confident that these a priori predictions will be reasonably close to the results obtained from actual fieldwork, because analysis of data from more than 60 societies surveyed in previous waves of the World Values Surveys and European Values Surveys indicates that cross-cultural differences in basic values have a surprisingly consistent relationship with economic development. The values and beliefs of mass publics vary a great deal cross-nationally, but they tend to vary in a roughly predictable way that can be derived from a revised version of modernization theory.     

DETECT

DETECT is an inexpensive, easy to use, general-purpose, Monte Carlo simulation program for IBM and compatible personal computers. It can be used to quickly analyze fault trees or functions of random variables. DETECT provides a wide variety of input distributions to choose from and a dependency (correlation) option. The result of the analysis is a probability distribution over the variable of interest. We look forward to further improvements (e.g., graphics, full-screen editing, ability to inspect intermediate results) that will make DETECT even more useful and attractive.     

Consumer Deception or Unwarranted Product Disparagement? The Case of Lean,Finely Textured Beef

When celebrity chef Jamie Oliver used his television presence to denounce the inclusion of lean, finely textured beef (LFTB) in ground beef products sold to consumers and present in school lunches, a firestorm of protests ensued. Ultimately, processing plants were closed, employees laid off, school lunch programs were changed to exclude LFTB from their menus, and large retailers such as Costco and Walmart refused to sell products containing LFTB. Calls for mandatory labeling were proposed in Congress, the argument being that consumers had a right to know what was in the beef they were purchasing and feeding their families. Dubbed “pink slime” by its critics, LFTB is treated, processed beef renderings that are derived from trimmings that would otherwise be discarded or used for some inferior purpose such as animal food. This article chronicles the events surrounding the LFTB controversy, briefly reviews scientific evidence pertaining to its safety, and reviews public policy initiatives in the wake of public protests.     

The association between job skill discretion, decision authority and burnout

This paper reports on the relationship between dimensions of control (skill discretion and decision authority) and burnout (emotional exhaustion, depersonalization, and reduced personal accomplishment) among 164 human service workers. It examines the differential influence of job demands, control (skill discretion and decision authority) and social support (supervisor, co-workers, others) on each burnout dimension. Then it examines the moderating effects of higher skill discretion, higher decision authority, and higher social support on burnout. Low skill discretion was found to be associated with high emotional exhaustion and depersonalization and low personal accomplishment. The effects of decision authority were not statistically significant. High job demands were associated with high emotional exhaustion only. Social support (supervisor, co-worker, and others) was not associated with burnout when demographic variables and job characteristics were controlled for. Neither dimension of control moderated the impact of high job demands on burnout. Social support did not moderate the impact of high demands, low skill discretion, or low decision authority on any burnout dimension. The full model explained 44% of the variance in emotional exhaustion, 25% in depersonalization, and 42% in personal accomplishment. Despite its limitations, the study suggests that the Job Demand-Control model may provide a useful theoretical foundation for the study of burnout, but that the control dimensions need to be evaluated independently since they appear to be differentially related to the burnout dimensions.     

Higher Education's Role in the Dialogue on Race

The university is a logical locus for discussionof the role race has played in our society. Perhaps noAmerican institution is more committed to free andopen dialogue than the university. Higher educationcan thus provide a context for the recognition ofissues as well as a forum for the resolution ofinitiatives. To date, however, university attempts atdiversity training have often imbued recipients withself-consciousness, usurping the unity implicit in theword `university' and evoking an even greater tendencytoward separatism. The university's traditional questfor truth has been subverted by a subtle and pervasivesense that some views are more correct than others,that openness is dangerous, and that some issues mighteven be taboo. At best, such an approach to diversityleads to a fragile stalemate among self-containedenclaves. By championing President Clinton's call fora dialogue on race, the university can restore itselfas an institution that puts honesty above all else.Not only is there a resonant rationale for theuniversity's central responsibility in this debate,but there is also a pedagogical means by which itsrole can be realized. This paper proposes a model forethnic dialogue relevant to either a text-based orissues-based class. Borrowing from pedagogy developedin professional schools, we believe that the tenets ofthe `case method' can create a climate conducive tothe substantive scrutiny of race, ethnicity, andprejudice in general. We argue that this dialogueshould not be a mere add-on to college life, butintegrated into existing curricula in the socialsciences, literature, and history. Heated debate canthen occur without anger, and race/ethnicity can bediscussed without fear of recrimination.Paradoxically, the very expression of ethnicity may bethe catalyst that eventually moves multiculturalismtoward interculturalism – where differences are nolonger articulated, measurable or even discernible.     

Person, Perception, and Place: What Matters to Health and Quality of Life

Interest in understanding how characteristics associated with where people live, in addition to the characteristics of the people themselves, affect health outcomes has risen sharply in recent years. While much of the research examining this question focus on teasing apart effects of place and individual on outcomes, less attention has been paid to examining how individuals’ perceptions of where they live may provide some clues to better understanding the influence of place on outcomes. We present findings from analysis undertaken that incorporate the subjective responses of individuals, residing in three socially contrasting neighbourhoods, to their local environment. Our first question addressed whether perceptions related to neighbourhood and city of residence matter to self rated health and quality of life independent of individual characteristics, while the second question examined whether the perceptions and individual characteristics are modified by the neighbourhood socio-economic context. Our results show that perceived neighbourhood characteristics, in addition to individual sociodemographic factors, are significant correlates of self rated health and quality of life. Moreover, we show that the type of perceived neighbourhood characteristics and the magnitude of their influence on self rated health and quality of life vary depending on whether they live in high- versus low-socioeconomic status neighbourhoods.