Virtues,Values and Victims: Toward a Theory of Social Problems

Abstract

The area of social problems has suffered from inadequate definitions, largely because there is no serious application of theory to the problem. An examination of epistemological issues reveals three distinct approaches: the virtues approach, based on objectivity, the values approach, based on subjectivity, and the victims approach, based on a dialectical relationship of object and subject. The implications of these epistemologies for social problems are assessed, and the necessity of an ethical position is demonstrated. Finally three social problem issues are defined: issues of human survival, of human community, of human dignity.     

Exploratory Analysis of Factors Associated with Participation in Self-Directed and Traditional Marriage and Relationship Education

Although self-directed marriage and relationship education (MRE) has the potential to reach a larger or different audience than traditional MRE, little has been done to examine the characteristics of self-directed MRE participants. This study examined whether various individual, couple, family, and sociocultural context variables predicted participation in both self-directed and traditional MRE programs. A series of logistic regressions were conducted on a cross-sectional data set. Different factors predicted participation for each intervention. For self-directed programs, factors predictive of involvement included older age, religiosity, higher education, being more self-regulated, having a neurotic partner, more open relationship boundaries, a history of divorce, more relationship problems, and more family-of-origin problems. A wider range of factors predicted participation in traditional programs. Some factors increasing odds for participation in one intervention decreased odds in the other. Implications for MRE are discussed. This study provides evidence that some higher risk couples may choose self-directed MRE over more traditional programs.     

Bayesian Interval Estimation for the Difference in TPRs and FPRs of Two Diagnostic Tests with Unverified Negatives

We derive Bayesian interval estimators for the differences in the true positive rates and false positive rates of two dichotomous diagnostic tests applied to the members of two distinct populations. The populations have varying disease prevalences with unverified negatives. We compare the performance of the Bayesian credible interval to the Wald interval using Monte Carlo simulation for a spectrum of different TPRs, FPRs, and sample sizes. For the case of a low TPR and low FPR, we found that a Bayesian credible interval with relatively noninformative priors performed well. We obtain similar interval comparison results for the cases of a high TPR and high FPR, a high TPR and low FPR, and of a high TPR and mixed FPR after incorporating mildly informative priors.     

Band Spectral Regression with Trending Data

Band spectral regression with both deterministic and stochastic trends is considered. It is shown that trend removal by regression in the time domain prior to band spectral regression can lead to biased and inconsistent estimates in models with frequency dependent coefficients. Both semiparametric and nonparametric regression formulations are considered, the latter including general systems of two‐sided distributed lags such as those arising in lead and lag regressions. The bias problem arises through omitted variables and is avoided by careful specification of the regression equation. Trend removal in the frequency domain is shown to be a convenient option in practice. An asymptotic theory is developed and the two cases of stationary data and cointegrated nonstationary data are compared. In the latter case, a levels and differences regression formulation is shown to be useful in estimating the frequency response function at nonzero as well as zero frequencies.     

The Bullwhip Effect—Impact of Stochastic Lead Time,Information Quality,and Information Sharing: A Simulation Study

We use a simulation model called ‘SISCO’ to examine the effects in supply chains of stochastic lead times and of information sharing and quality of that information in a periodic order‐up‐to level inventory system. We test the accuracy of the simulation by verifying the results in Chen et al. (2000a) and Dejonckheere et al. (2004). We find that lead‐time variability exacerbates variance amplification in a supply chain, and that information sharing and information quality are highly significant. For example, using the assumptions in Chen et al. (2000a) and Dejonckheere et al. (2004), we find in a numerical experiment of a customer‐retailer‐wholesaler‐distributor‐factory supply chain that variance amplification is attenuated by nearly 50 percent at the factory due to information sharing. Other assumptions we make are based on interviews or conversations with managers at large supply chains.     

Evaluation of treatment programs for persons with severe mental illness: moderator and mediator effects

This study evaluated several statistical models for estimating treatment effects in a randomized, longitudinal experiment comparing assertive community treatment (ACT) versus brokered case management (BCM). In addition, mediator and moderator analyses were conducted. The ACT clients had improved outcomes in terms of housing and psychiatric symptoms than BCM clients. Case management housing assistance and financial assistance partially mediated housing outcomes. No reliable mediators were found for psychiatric symptoms, and no reliable moderators were found for either housing or psychiatric symptoms. The study also made several important methodological advances in the analysis of longitudinal data in randomized experiments.     

Can one TV show make a difference? Will & Grace and the Parasocial Contact Hypothesis

Television has an opportunity to influence beliefs about groups with which individuals typically may have little direct social contact. This study describes a synthesis of the Contact Hypothesis and the concept of Parasocial Interaction to pose what we call the Parasocial Contact Hypothesis to test whether exposure to gay men on Will & Grace can influence attitudes toward gay men in general. Based on a study of 245 university students, this study examines the relationships among number and intimacy of gay social contacts, parasocial interaction, viewing frequency of Will & Grace, and scores on Herek's Attitudes Toward Gay Men and Lesbians scale. Increased viewing frequency and parasocial interaction were found to correlate with lower levels of sexual prejudice-a relationship that was most pronounced for those with the least amount of social contact with lesbians and gay men.     

Optimal population and exhaustible resource constraints

A large literature considers the optimal size and growth rate of the human population, trading off the utility value of additional people with the costs of a larger population. In this literature, an important parameter is the social weight placed on population size; a standard result is that a planner with a larger weight on population chooses larger population levels and growth rates. We demonstrate that this result is conditionally overturned when an exhaustible resource constraint is introduced: if the discount rate is small enough, the optimal population today decreases with the welfare weight on population size. That is, a more total-utilitarian social planner could prefer a smaller population today than a more average-utilitarian social planner. We also present a numerical illustration applied to the case of climate change, where we show that under plausible real-world parameter values, our result matters for the direction and magnitude of optimal population policy.