The Sociology of Micro‐politics: An Examination of a Neglected Field of Political Action in the Middle East and Beyond

In this paper, the political dimensions of the social interactions of everyday life are investigated. The perspectives of Michel Foucault and Michel de Certeau, George Herbert Mead and Erving Goffman, are applied. A close analysis of micro‐politics in Israel–Palestine and the Sinai is used to reveal the independent significance of micro‐politics, as it is shown that such politics constitute the prevailing order of things, but also present the possibility of escaping, subverting, criticizing and transforming that order.     

A longitudinal analysis of household and nonhousehold living arrangements in later life

Most explanatory models of living arrangements in later life link the decision process surrounding choice of living arrangement to personal resources such as income and health. Applications of these models, however, are based for the most part on cross-sectional rather than longitudinal data. In this paper we examine living arrangements in later life among the nonmarried population aged 55 and over, using data from the Survey of Income and Program Participation. We observe individuals as they change living arrangements, die, or become institutionalized. Our results suggest that economic resources dominate the decision-making process in transitions across different household arrangements, whereas health is most important in explaining institutionalization.     

Deviant social positions in small groups: The relation between role and individual

This paper studies a deviant social position within a small group of Italian Fishermen. The role of “court-jester” emerges and, as the title suggests, the relation between this role and the inherent properties of the deviant are explored. It is argued that the emergence of roles among deviant social positions is dependent upon the personal attributes of the deviant and the characteristics of his relations to other members of the group.     

Estimation of Dietary Exposure to Chemicals: A Case Study Illustrating Methods of Distributional Analyses for Food Consumption Data

There are a number of sources of variability in food consumption patterns and residue levels of a particular chemical (e.g., pesticide, food additive) in commodities that lead to an expected high level of variability in dietary exposures across a population. This paper focuses on examples of consumption pattern survey data for specific commodities, namely that for wine and grape juice, and demonstrates how such data might be analyzed in preparation for performing stochastic analyses of dietary exposure. Data from the NIAAA/NHIS wine consumption survey were subset for gender and age group and, with matched body weight data from the survey database, were used to define empirically-based percentile estimates for wine intake (μl wine/kg body weight) for the strata of interest. The data for these two subpopulations were analyzed to estimate 14-day consumption distributional statistics and distributions for only those days on which wine was consumed. Data subsets for all wine-consuming adults and wine-consuming females ages 18 through 45, were determined to fit a lognormal distribution ( R ²= 0.99 for both datasets). Market share data were incorporated into estimation of chronic exposures to hypothetical chemical residues in imported table wine. As a separate example, treatment of grape juice consumption data for females, ages 18–40, as a simple lognormal distribution resulted in a significant underestimation of intake, and thus exposure, because the actual distribution is a mixture (i.e., multiple subpopulations of grape juice consumers exist in the parent distribution). Thus, deriving dietary intake statistics from food consumption survey data requires careful analysis of the underlying empirical distributions.     

Transitional phenomena in adolescence: Tools for negotiating the second individuation

The purpose of this article is to heighten clinicians awareness of the integrative potential of transitional phenomena in adolescent ego development. A review of the literature and presentation of clinical examples support the author's contention that adolescents may employ transitional phenomena to assist them through developmental turbulence reminiscent of original rap-prochement crises in early separation-individuation. An understanding of how adolescent clients may use transitional phenomena provides clinicians with an expanded perspective for differential assessment and intervention.     

THE REDUCED-RANK GROWTH CURVE MODEL FOR DISCRIMINANT ANALYSIS OF LONGITUDINAL DATA

This paper presents a method of discriminant analysis especially suited to longitudinal data. The approach is in the spirit of canonical variate analysis (CVA) and is similarly intended to reduce the dimensionality of multivariate data while retaining information about group differences. A drawback of CVA is that it does not take advantage of special structures that may be anticipated in certain types of data. For longitudinal data, it is often appropriate to specify a growth curve structure (as given, for example, in the model of Potthoff & Roy, 1964). The present paper focuses on this growth curve structure, utilizing it in a model-based approach to discriminant analysis. For this purpose the paper presents an extension of the reduced-rank regression model, referred to as the reduced-rank growth curve (RRGC) model. It estimates discriminant functions via maximum likelihood and gives a procedure for determining dimensionality. This methodology is exploratory only, and is illustrated by a well-known dataset from Grizzle & Allen (1969).     

A Tale of Two Border Cities: Community Context,Ethnicity, and Homicide*

Objective. Using Poisson‐based negative binomial regression, we estimate the effect of neighborhood factors on homicides in two cities (San Antonio, Texas and San Diego, California) that have large Mexican‐origin populations. Methods. Three independent data sources (official homicide police reports, medical examiner records, and the U.S. Census) are used to construct the dependent homicide, and independent neighborhood, variables. Census tracts represent the unit of analysis, which serve as a proxy for neighborhoods. Given the spatial nature of the data, spatial estimation procedures were also modeled. Results. Spatial proximity to violence, neighborhood disadvantage, and affluence (in San Antonio) consistently buffered homicide across neighborhoods, even in heavily populated Latino neighborhoods. Conclusions. Spatial embeddedness and neighborhood characteristics are important for improving our understanding about ethnic neighborhood variations in levels of violence. Comparative approaches across places, namely, Latino‐dominated cities, can yield considerable insight into how the local context intersects race/ethnicity and violent crime.