Satisfaction with Health Care and Community Esteem Among Rural Women

The present study examines the ways in which satisfaction with health care may be associated with the lives of rural women. One hundred thirty one rural women between the ages of 45 and 70 years completed measures of community esteem, life satisfaction, satisfaction with health care, health status, and mood. The results showed that rural women's satisfaction with their health care was associated with the extent to which they hold their community in esteem and their degree of life satisfaction. Moreover, women who had poor health were less satisfied with the available health care than were healthier women. These findings are discussed in terms of their implications for the well-being of rural communities in general.     

THE McMASTER FAMILY ASSESSMENT DEVICE: RELIABILITY AND VALIDITY*

This paper reports a series of studies investigating the reliability and validity of the McMaster Family Assessment Device (FAD). The results indicated that the FAD has: (a) adequate test-retest reliability, (b) low correlations with social desirability, (c) moderate correlations with other self-report measures of family functioning, and (d) differentiates significantly between clinician-rated healthy and unhealthy families. Cut-off scores for identifying healthy and unhealthy families also were developed which have adequate sensitivity and specificity. Additionally, the relationships between the FAD, Family Unit Inventory, and FACES-II suggests that the cohension and adaptability scales from the FACES-II have a linear relationship with health/pathology.     

Industry Perceptions of University-Industry Relationships Related to Agricultural Biotechnology Research*

Abstract Following a rise in university-industry relationships (UIRs), scholars began questioning the efficacy of those relationships, as well as whether industry and university research interests and integrity are being compromised. Although many of these studies focus on the university, few examine the perspectives of industry participants. We conducted intensive interviews with 63 managers and scientists at agricultural biotechnology companies involved in UIRs related to agricultural biotechnology. Our analysis of their comments reveals nuanced critical perspectives of UIRs and creative ideas for reforming policies and practices. Industry representatives listed many advantages of UIRs, but some also expressed an interest in reforming policies to preserve a public-interest emphasis for university research. We conclude by considering the structural relationships that may explain the industry representatives' critical evaluations and by identifying policy implications.     

Scenario Tree Modeling to Analyze the Probability of Classical Swine Fever Virus Introduction into Member States of the European Union

The introduction of classical swine fever virus (CSFV) into a country free of disease without vaccination may have huge consequences in terms of both disease spread and economic losses. More quantitative insight into the main factors determining the probability of CSFV introduction (PCSFV) is needed to optimally use resources for the prevention of CSFV introduction. For this purpose a spreadsheet model was constructed that calculates the annual PCSFV into member states of the European Union (EU). The scenario pathway approach was used as most probabilities in the model are very small. Probability distributions were used to take into account inherent variability of input parameters. The model contained pathways of CSFV introduction including the import of pigs and pork products, returning livestock trucks, and contacts with wild boar. All EU member states were included as possible sources of CSFV. Default results for the Netherlands showed a mean overall annual PCSFV of approximately 0.06, indicating that the Netherlands can expect CSFV introduction on average once every 18 years from the pathways and countries included in the model. Almost 65% of this probability could be attributed to the pathway of returning livestock trucks. The most likely sources of CSFV introduction were Germany, Belgium, and the United Kingdom. Although the calculated probabilities were rather low when compared with expert estimates and recent history, the most likely causes of CSFV introduction indicated by the model were considered to be realistic. It was therefore concluded that the model is a useful tool to structure and analyze information for decision making concerning the prevention of CSFV introduction.     

Marital stability throughout the child-rearing years

Although there is evidence that the number and ages of children influence marital stability, studies have not systematically tracked the risk of marital disruption throughout the child-rearing years. This study uses marital and fertility histories from the June 1985 Current Population Survey to examine this issue. Continuous-time regression models with ages and numbers of children as time-varying covariates are estimated. Net of controls for age at marriage, year of marriage, education, and marital duration, stability increases with family size up to the third child but starts to decline as family size reaches five or more children. Aging of children is disruptive until the youngest child reaches adulthood, after which marriages become much more stable. Arrival and aging of children is an important dynamic with strong implications for marital stability.     

Accounting for Both Random Errors and Systematic Errors in Uncertainty Propagation Analysis of Computer Models Involving Experimental Measurements with Monte Carlo Methods

A Monte Carlo method is presented to study the effect of systematic and random errors on computer models mainly dealing with experimental data. It is a common assumption in this type of models (linear and nonlinear regression, and nonregression computer models) involving experimental measurements that the error sources are mainly random and independent with no constant background errors (systematic errors). However, from comparisons of different experimental data sources evidence is often found of significant bias or calibration errors. The uncertainty analysis approach presented in this work is based on the analysis of cumulative probability distributions for output variables of the models involved taking into account the effect of both types of errors. The probability distributions are obtained by performing Monte Carlo simulation coupled with appropriate definitions for the random and systematic errors. The main objectives are to detect the error source with stochastic dominance on the uncertainty propagation and the combined effect on output variables of the models. The results from the case studies analyzed show that the approach is able to distinguish which error type has a more significant effect on the performance of the model. Also, it was found that systematic or calibration errors, if present, cannot be neglected in uncertainty analysis of models dependent on experimental measurements such as chemical and physical properties. The approach can be used to facilitate decision making in fields related to safety factors selection, modeling, experimental data measurement, and experimental design.     

The Visibility of Feminist Thought in Family Studies

We assessed feminist visibility in family journals by tallying the feminist content of articles in Journal of Marriage and Family, Journal of Family Issues, and Family Relations. There was an increase in feminist visibility from 1972 to 1992, at which point the growth of visibility stalled. From 1992 to 2002, almost 1 out of 4 articles appeared to be influenced, at least minimally, by feminist scholarship when including in our tally a measure of articles' mentioning of gender in its abstract or title without a detectable feminist perspective in the article. Only about 6% of articles, however, involved an explicit feminist analysis. We offer explanations for this apparent glass ceiling for feminist visibility and make suggestions for future research.