The Effects of Resources, Decision Making, and Decision Implementing on Perceived Family Well-Being in Adjusting to an Economic Stressor

This article examines the relationships of personal resources, decision-making, and decision-implementing behaviors that were measured in time one with perceived family well-being that was measured one year later. The sample included 323 farm men and women who had experienced the same economic stressor event. A structural equation model was posited based upon the theoretical frameworks of family resource management. The results indicated the theoretical model fit the data well for both men and women. LISREL analyses revealed strong positive relationships among perceived financial and emotional resources, decision making, and perceived family well-being. A positive relationship was found between decision making and decision implementing, but no relationship was found between decision implementing and perceived family well-being. Gender differences were present only in the measurement model among the indicators of decision implementing and family well-being.     

Decision-Making of Mothers in Hong Kong Regarding the Occasional Use of Alternative Child-Care Arrangements

This study examines the use of alternative child-care arrangements as an everyday life decision in a family context. Interviews with twenty-four mothers from a working class neighborhood in a new town in Hong Kong were transcribed and analyzed using a grounded theory approach. Results of the analysis outlined: (a) the structural components of making a decision regarding alternative care, which consisted of demands, resource options, definitions of the situation, types of decision situations, and the respective decision-making strategies; and (b) the nature of decision-making processes, varying from ad hoc to standing. Together, these aspects illuminate how mothers make decisions regarding the use of alternative child-care arrangements and, in turn, the characteristics of family decision-making in everyday life.     

Black Identity: The O. J. Simpson Case

The purpose of this paper is to review the White and Black perspectives regarding the O. J. Simpson trial. The henneneutic-dialectic (HD) method of inquiry will be utilized in order to comprehend how Whites and Blacks reached their respective conclusions concerning O. J. Simpson’s guilt or innocence. This method of inquiry employs discourses, separately by Blacks and Whites, the interchange of the recorded discourses, and last, the coming together of both groups of participants for further discourse. Blacks, in contrast to Whites, experienced justice through a common sense of identity forged historically by a minority people rather than by the immediate circumstantial evidence gathered at the time of the trial.     

The contribution of the social sciences

The contribution which Social Science has made and may make to policy formulation in modern Europe is described and evaluated. The rapid economic growth of the post war period was accompanied by the growing impact of government economic policy but the contribution made by Social Science in most countries was limited. The questioning of growth and bureaucratization which has subsequently arisen offers new opportunities for Social Science in policy-making. At present, its contribution is handicapped by limitations of methodology, and in some circumstances by a lack of awareness of its value. A positive strategy is now required for the development and integration of Social Science into policy formulation.     

Global patterns of healthy life expectancy for older women

This paper focuses on patterns of healthy life expectancy for older women around the globe in the year 2000, and on the determinants of differences in disease and injury for older ages. Our study uses data from the World Health Organization for women and men in 191 countries. These data include a summary measure of population health, healthy life expectancy (HALE), which measures the number of years of life expected to be lived in good health, and a complementary measure of the loss of health (disability-adjusted life years or DALYs) due to a comprehensive set of disease and injury causes. We examine two topics in detail: (1) cross-national patterns of female-male differences in healthy life expectancy at age 60; and (2) identification of the major injury and disability causes of disability in women at older ages. Globally, the male-female gap is lower for HALE than for total life expectancy. The sex gap is highest for Russia (10.0 years) and lowest in North Africa and the Middle East, where males and females have similar levels of healthy life expectancy, and in some cases, females have lower levels of healthy life expectancy. We discuss the implications of the findings for international health policy.     

Family policy and critical science research: Facilitating change

The principles of critical science for policy research are outlined and one research project is used as a case study. The study was intentionally designed to facilitate changes that would positively influence the economic well-being of children from divorced families. The project uses the critical science processes of public dialogue about child support guidelines for purposes of collaborative problem solving. The normative theories of procedural and distributive justice are used to guide the research reporting. The project contributes to changes in the practices of estimating the income needs of children, changes in estimating the relative monetary contributions of their parents, and proposed legislation and modifications in the state child support guidelines. She received her Ph.D. in family ecology from Michigan State University. Her research interests include the valuing issues of family life quality, family decision making, divorce,and the economic adjustments of families to economic stressors. She received her M.A. degree in Family Education from the University of Minnesota. Her research interests include decision making and parenting. She received her Ph.D. degree in anthropology from the University of Minnesota. Her research interests include social and cultural change and the integration of research findings into public policy decision making.     

Freedom of movement among blue collar workers

Freedom of Movement (FM) is seen in this study as the discrepancy between aspiration and personal achievement. Five hundred and sixtythree blue collar workers responded to a mail questionnaire specifically designed to assess FM. Sex, race, and income related monotonically to FM, with Blacks, women, and low income workers showing low FM. Age also related significantly to FM, but in a curvilinear fashion, with mid-age workers having the lowest FM. Implications of low FM (and anomie) are discussed in relation to homelessness, apathy, and other forms of social distress.     

Benchmark Calculations in Risk Assessment Using Continuous Dose-Response Information: The Influence of Variance and the Determination of a Cut-Off Value

A benchmark dose (BMD) is the dose of a chemical that corresponds to a predetermined increase in the response (the benchmark response, BMR) of a health effect. In this article, a method (the hybrid approach) for benchmark calculations from continuous dose-response information is investigated. In the formulation of the methodology, a cut-off value for an adverse health effect has to be determined. It is shown that the influence of variance on the hybrid model depends on the choice of determination of the cut-off point. If the cut-off value is determined as corresponding to a specified tail proportion of the control distribution, P(0), the BMD becomes biased upward when the variance is biased upward. On the contrary, if the cut-off value is directly determined to some level of the continuous response variable, the BMD becomes biased upward when the variance is biased downward. A simulation study was also performed in which the accuracy and precision of the BMD was compared for the two ways of determining the cut-off value. In general, considering BMRs of 1, 5, and 10% (additional risk) the precision of the BMD became higher when the cut-off value was estimated by specifying P(0), relative to the case with a direct determination. Use of the square-root of the maximum-likelihood estimator of the variance in BMD estimation may provide a bias that is reflected by the cut-off formulation (downward bias if specifying P(0), and upward bias if specifying the cut-off, c, directly). This feature may be reduced if an unbiased estimator of the standard deviation is used in the calculations.     

The Epidemiologic Transition Revisited: Compositional Models for Causes of Death by Age and Sex

For decades, researchers have noted systematic shifts in cause‐of‐death patterns as mortality levels change. The notion of the “epidemiologic transition” has influenced thinking about the evolution of health in different societies and the response of the health system to these changes. This article re‐examines the epidemiologic transition in terms of empirical regularities in the cause composition of mortality by age and sex since 1950, and considers whether the theory of epidemiologic transition presents a durable framework for understanding more recent patterns. Age‐sex‐specific mortality rates from three broad cause groups are analyzed: Group 1 (communicable diseases, maternal and perinatal causes, and nutritional deficiencies); Group 2 (noncommunicable diseases); and Group 3 (injuries), using the most extensive international database on mortality by cause, including 1,576 country‐years of observation, and new statistical models for compositional data. The analyses relate changes in cause‐of‐death patterns to changing levels of all‐cause mortality and income per capita. The results confirm that declines in overall mortality are accompanied by systematic changes in the composition of causes in many age groups. These changes are most pronounced among children, for whom Group 1 causes decline as overall mortality falls, and in younger adults, where strikingly different patterns are found for men (shift from Group 3 to Group 2) compared to women (shift toward Group 2 then Group 3). The underlying patterns that emerge from this analysis offer insights into the epidemiologic transition from high‐mortality to low‐mortality settings.     

Influence of Distribution of Animals between Dose Groups on Estimated Benchmark Dose and Animal Distress for Quantal Responses

Increasingly, dose‐response data are being evaluated with the benchmark dose (BMD) approach rather than by the less precise no‐observed‐adverse‐effect‐level (NOAEL) approach. However, the basis for designing animal experiments, using equally sized dose groups, is still primed for the NOAEL approach. The major objective here was to assess the impact of using dose groups of unequal size on both the quality of the BMD and overall animal distress. We examined study designs with a total number of 200 animals distributed in four dose groups employing quantal data generated by Monte Carlo simulations. Placing more animals at doses close to the targeted BMD provided an estimate of BMD that was slightly better than the standard design with equally sized dose groups. In situations involving a clear dose‐response, this translates into fewer animals receiving high doses and thus less overall animal distress. Accordingly, in connection with risk and safety assessment, animal distress can potentially be reduced by distributing the animals appropriately between dose groups without decreasing the quality of the information obtained.