Charting a Discursive Field: Environmentalists for U.S. Population Stabilization*

This article seeks to extend our understanding of the forces that shape social movement messages. Using a framework that focuses on a movement's discursive field, I analyze the U.S. movement for population stabilization, which is made up of groups that call for stricter limits on immigration to the United States as a means to forestall environmental decline. Drawing upon data from a range of sources, including the Web sites of 10 environment‐oriented immigration‐reduction organizations, I make the case that this movement's particular field is composed of the discursive repertoires (or messages) of a set of environmental and nonenvironmental social actors and three central discourses: science, political economy, and nationalism. I argue that the movement's relative lack of success is partially attributable to its position in the discursive field in which it must operate.     

Intergenerational Mobility in Relative Educational Attainment and Health-Related Behaviours

Social Indicators Research - Research on intergenerational social mobility and health-related behaviours yields mixed findings. Depending on the direction of mobility and the type of mechanisms...     

Transmuted Weibull distribution: Properties and estimation

In this article, we investigate the potential usefulness of the three-parameter transmuted Weibull distribution for modeling survival data. The main advantage of this distribution is that it has increasing, decreasing or constant instantaneous failure rate depending on the shape parameter and the new transmuting parameter. We obtain several mathematical properties of the transmuted Weibull distribution such as the expressions for the quantile function, moments, geometric mean, harmonic mean, Shannon, Rényi and q-entropies, mean deviations, Bonferroni and Lorenz curves, and the moments of order statistics. We propose a location-scale regression model based on the log-transmuted Weibull distribution for modeling lifetime data. Applications to two real datasets are given to illustrate the flexibility and potentiality of the transmuted Weibull family of lifetime distributions.     

ABOUT THE AUTHORS

Within the last several years, sociology has witnessed numerous emerging interests, two of which are clinical sociology and teaching sociology. Although these two movements appear to have little in common, beneath the surface a great deal of commonality exists. This paper examines the similarities and dissimilarities between these movements. In particular, the discussion presents the factors leading to the emergence of these movements, the basic issues articulated by each, and the organizational format developed to address their concerns. The issues that these movements address have implications for the future of sociology. These movements offer the possibility that sociology may become a more applied discipline, a discipline closer to the phenomena it studies, and a discipline confident that it has something to offer.     

Likelihood-based Estimation of the Regression Model with Scrambled Responses

A significant problem in the collection of responses to potentially sensitive questions, such as relating to illegal, immoral or embarrassing activities, is non-sampling error due to refusal to respond or false responses. Eichhorn & Hayre (1983) suggested the use of scrambled responses to reduce this form of bias. This paper considers a linear regression model in which the dependent variable is unobserved but for which the sum or product with a scrambling random variable of known distribution, is known. The performance of two likelihood-based estimators is investigated, namely of a Bayesian estimator achieved through a Markov chain Monte Carlo (MCMC) sampling scheme, and a classical maximum-likelihood estimator. These two estimators and an estimator suggested by Singh, Joarder & King (1996) are compared. Monte Carlo results show that the Bayesian estimator out-performs the classical estimators in all cases, and the relative performance of the Bayesian estimator improves as the responses become more scrambled.     

Patterns of nonresident father contact

We used the National Longitudinal Survey of Youth 1979 cohort (NLSY79) from 1979 to 2002 and the Children of the National Longitudinal Survey of Youth (CNLSY) from 1986 to 2002 to describe the number, shape, and population frequencies of U.S. nonresident father contact trajectories over a 14-year period using growth mixture models. The resulting four-category classification indicated that nonresident father involvement is not adequately characterized by a single population with a monotonic pattern of declining contact over time. Contrary to expectations, about two-thirds of fathers were consistently either highly involved or rarely involved in their children’s lives. Only one group, constituting approximately 23% of fathers, exhibited a clear pattern of declining contact. In addition, a small group of fathers (8%) displayed a pattern of increasing contact. A variety ofvariables differentiated between these groups, including the child’s age at father-child separation, whether the child was born within marriage, the mother’s education, the mother’s age at birth, whether the father pays child support regularly, and the geographical distance between fathers and children.     

Men's Aging Amidst Intersecting Relations of Inequality

Men age under the pressure of age relations and their intersections with such other inequalities as gender, race, class, nation, and sexuality. We review findings of research on masculinity, inequalities, and social gerontology, and argue that a theoretically informed combination of all three offers the best understanding. We theorize that many men are privileged by their claims on occupational niches and family care and that age relations disrupt those privileges. Age relations exacerbate inequalities among men and reverse many claims to high status. Old men find themselves doing more care work, with less recognition, and suffering effects of the activities that had maintained status in younger years. Economic dependency, loss of status, declining health, isolation, and increasing invisibility shape old manhood even as other relations shield many from the lowest status.     

A Locally Most Mean Powerful Based Score Test for ARCH and GARCH Regression Disturbances

This article considers the twin problems of testing for autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH disturbances in the linear regression model. A feature of these testing problems, ignored by the standard Lagrange multiplier test, is that they are onesided in nature. A test that exploits this one-sided aspect is constructed based on the sum of the scores. The small-sample-size and power properties of two versions of this test under both normal and leptokurtic disturbances are investigated via a Monte Carlo experiment. The results indicate that both versions of the new test typically have superior power to two versions of the Lagrange multiplier test and possibly also more accurate asymptotic critical values.