MEANINGFUL REGRESSION AND ASSOCIATION MODELS FOR CLUSTERED ORDINAL DATA

Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, the association structure is often of equal interest—for example, temporal association in longitudinal studies and association between responses to similar questions in a survey. We discuss the use, appropriateness, and interpretability of various latent variable and Markov models for the association structure and propose a new structure that exploits the ordinality of the response. The models are illustrated with a study concerning opinions regarding government spending and an analysis of stability and change in teenage marijuana use over time, where we reveal different behavioral patterns for boys and girls through a comprehensive investigation of individual response profiles.     

African American Children's Adjustment: The Roles of Maternal and Teacher Depressive Symptoms

This study examined the unique and interactive roles of mother and teacher depressive symptoms in child adjustment in 277 African American single mother‐headed families, as well as whether the associations differed depending on the age and gender of the child. Findings revealed a significant association between maternal depressive symptoms and child depressive symptoms in girls, but not boys. Moreover, the combination of higher levels of both mother and teacher depressive symptoms was associated with the highest level of child depressive symptoms and, for younger children, externalizing symptoms. The importance of considering the multiple social contexts in which children interact is discussed.     

'Making Culture Matter': Symbolic,Spatial and Social Boundaries between Uyghurs and Han Chinese

This article illustrates how Uyghurs in the 1990s defined and reinforced contemporary Uyghur national identity in relation to Xinjiang's growing Han Chinese population. Adopting Barth's theory of fluid and negotiable ethnic boundaries, it focuses on the notion of change. While Uyghurs are currently activating and exaggerating certain religio-cultural differences--in particular the avoidance of pork--as a means of ensuring symbolic, spatial and social segregation from the Han, those criteria did not prevent interaction to the same extent in the past; nor do they prevent Uyghurs from making concessions when it benefits them to do so. It is argued that it is not religio-cultural differences per se that lie at the root of increased tensions between Uyghurs and Han Chinese, but changing social, political and economic contexts: on the one hand, growing Uyghur perceptions of socio-economic inequalities between themselves and the Han (the 'internal factor') and, on the other, the vast changes within the international political arena since the late 1980s (the 'external factor').     

Hearts and Minds and Morality: Analyzing Moral Vocabularies in Qualitative Studies

A strategy of analyzing the moral vocabulary of a social movement or subculture is proposed by which ethnographies and other qualitative works may place the moral and ethical concepts used by respondents into a broader sociological context. Through examining the moral resources, the status hierarchy which the specific moral resources within a given moral vocabulary form, and the historical and cultural contexts within which these moral resources exist, it is argued that it becomes possible to analyze and anticipate the moral claims and form of discourse which will be produced by a specific movement and/or subculture. It is also argued that this method may be used to predict how the opposition to a movement and/or subculture is perceived through the formation of an antithetical moral vocabulary.     

Review Essay: What Is Left of the Left?

Sociological Forum -     

A Comparison of Partially Adaptive and Reweighted Least Squares Estimation

The small sample performance of least median of squares, reweighted least squares, least squares, least absolute deviations, and three partially adaptive estimators are compared using Monte Carlo simulations. Two data problems are addressed in the paper: (1) data generated from non-normal error distributions and (2) contaminated data. Breakdown plots are used to investigate the sensitivity of partially adaptive estimators to data contamination relative to RLS. One partially adaptive estimator performs especially well when the errors are skewed, while another partially adaptive estimator and RLS perform particularly well when the errors are extremely leptokur-totic. In comparison with RLS, partially adaptive estimators are only moderately effective in resisting data contamination; however, they outperform least squares and least absolute deviation estimators.