Variance Function Regression in Hierarchical Age-Period-Cohort Models: Applications to the Study of Self-Reported Health

Two long-standing research problems of interest to sociologists are sources of variations in social inequalities and differential contributions of the temporal dimensions of age, time period, and cohort to variations in social phenomena. Recently, scholars have introduced a model called Variance Function Regression for the study of the former problem, and a model called Hierarchical Age-Period-Cohort regression has been developed for the study of the latter. This article presents an integration of these two models as a means to study the evolution of social inequalities along distinct temporal dimensions. We apply the integrated model to survey data on subjective health status. We find substantial age, period, and cohort effects, as well as gender differences, not only for the conditional mean of self-rated health (i.e., between-group disparities), but also for the variance in this mean (i.e., within-group disparities)-and it is detection of age, period, and cohort variations in the latter disparities that application of the integrated model permits. Net of effects of age and individual-level covariates, in recent decades, cohort differences in conditional means of self-rated health have been less important than period differences that cut across all cohorts. By contrast, cohort differences of variances in these conditional means have dominated period differences. In particular, post-baby boom birth cohorts show significant and increasing levels of within-group disparities. These findings illustrate how the integrated model provides a powerful framework through which to identify and study the evolution of variations in social inequalities across age, period, and cohort temporal dimensions. Accordingly, this model should be broadly applicable to the study of social inequality in many different substantive contexts.     

Complementary Relationships Between Traditional Media and Health Apps Among American College Students

Abstract

Objective: This study explored the potential relationships between existing media and health apps for health information among college students. Participants: This study collected and analyzed a total of 408 surveys from students of 7 universities across the United States. Methods: In order to explore the research questions and test the hypotheses, quantitative data from the online survey were analyzed through hierarchical regression analyses. Results: Results from the hierarchical regression analyses indicated that the perceived credibility of health information from traditional mass media was positively and significantly associated with college students' perception of health apps. However, there was no significant effect in regards to online media. Conclusions: This study's consideration of the relationships between existing media and health apps may guide health practitioners in their strategic approaches to improve the well-being of college students.     

Technology Adoption in Small Family-Owned Businesses: Accessibility,Perceived Advantage,and Information Technology Literacy

The purpose of the study was to examine the antecedents and impacts of information technology (IT) adoption by small family-owned businesses, using data from the National Family Business Survey. This research tested a model based on the Diffusion of Innovations framework and the Technology Acceptance Model (TAM). Family business managers’ prior knowledge and level of IT use, business location, and community size/type were important antecedents to the decision to adopt IT. Ease of use and decision to adopt IT accounted for over 60% of the variance in usefulness of IT and implementation of internet and IT capabilities. The implementation of IT capabilities accounted for nearly 40% of the variance in actual use of IT and perceived impact of the internet.     

Assessing the Moderating Effects of Depressive Symptoms on Antisocial Behavior among Urban Youth in Public Housing

This study assesses whether the influences of attitude towards deviance, exposure to delinquent peers and parental supervision and encouragement on antisocial behavior are moderated by depressive symptoms. Two hundred and thirty eight African American adolescents ages 13–19 from three public housing developments participated in this study. Results indicate that approximately half of the youth did not engage in antisocial behaviors in the last year. Gender, depression, attitudes and peers were significant correlates of antisocial behavior. Parental supervision and encouragement, and age were not related to antisocial behavior. Interaction effects suggest that the relative influences of attitudes towards deviance and delinquent peers on antisocial behaviors depend upon gender and level of depression symptoms. Implications for social work practice and future research are discussed.     

Clinical Sociology in Service Learning

Experiences in teaching internship courses illustrate some of the advantages of teaching sociological practice through community service. For example, a course requirement to spend 9 hours of each week of a semester in an advocacy group provides a richer variety of opportunities for students to learn about themselves, society, sociological theory, and research methodologies than is possible in conventional lecture–discussion classes. Furthermore, becoming participants in sociological interventions heightens students' awareness of related ethical concerns, as well as of the complexity of social problems, and of how to define viable individual and collective solutions.     

Development and Consideration of Global Policies for Managing the Future Risks of Poliovirus Outbreaks: Insights and Lessons Learned Through Modeling

The success of the Global Polio Eradication Initiative promises to bring large benefits, including sustained improvements in quality of life (i.e., cases of paralytic disease and deaths avoided) and costs saved from cessation of vaccination. Obtaining and maintaining these benefits requires that policymakers manage the transition from the current massive use of oral poliovirus vaccine (OPV) to a world without OPV and free of the risks of potential future reintroductions of live polioviruses. This article describes the analytical journey that began in 2001 with a retrospective case study on polio risk management and led to development of dynamic integrated risk, economic, and decision analysis tools to inform global policies for managing the risks of polio. This analytical journey has provided several key insights and lessons learned that will be useful to future analysts involved in similar complex decision-making processes.     

Redressing Inequity in Parent Care Among Siblings

When inequities occur in the division of labor among adult siblings caring for older parents, conflict may result. This paper uses equity theory as a framework for understanding the processes used by siblings to rectify imbalances in their parental responsibilities. The study is based on a sample of 40 focus group participants who described caregiving relationships among siblings. Consistent with equity theory, these participants used two approaches to redress inequities in their sibling caregiving relationships: requesting behavioral changes from siblings and making cognitive changes. The findings suggest that these two approaches can result in more perceived equity but may also lead to even greater perceived inequity and distress.     

Characteristics of U.S. cities with extreme (high or low) crime rates: Results of discriminant analyses of 1960, 1970, and 1980 data

Why do some cities have higher or lower crime rates than others? In this study we attempt to answer this fundamental question by identifying the theoretically motivated structural covariates which differentiate U.S. cities with extreme high and low crime rates. We apply discriminant function analysis across comprehensive samples of all U.S. cities with populations of greater than 25 000 in the periods 1960, 1970, and 1980 and then posit four question: are empirical findings from regression-based studies of city crime rates replicated in discriminant studies with extreme rates? Are the covariates that predict high or low crime rates unique to specific time periods? Which covariates are better able to discriminate high or low rates for specific crimes? And are specific covariates distinguishable in crime rate changes across time periods? Among our general findings, it appears that those cities with extreme high (low) crime rates tend to be the largest (smallest), most (least) economically deprived, and most (least) socially disintegrated. Associations with these latter two characteristics appear to have grown stronger over the past three census periods. The theoretical importance of these and other findings uncovered here are discussed and interpreted through Wilson's (1987) notion of concentration effects and social isolation which may have transformed inner-city areas in recent years.