COVARIANCE MODELS FOR LATTICE DATA

Given observations on an m × n lattice, approximate maximum likelihood estimates are derived for a family of models including direct covariance, spatial moving average, conditional autoregressive and simultaneous autoregressive models. The approach involves expressing the (approximate) covariance matrix of the observed variables in terms of a linear combination of neighbour relationship matrices, raised to a power. The structure is such that the eigenvectors of the covariance matrix are independent of the parameters of interest. This result leads to a simple Fisher scoring type algorithm for estimating the parameters. The ideas are illustrated by fitting models to some remotely sensed data.     

White Mothers,Brown Children: Ethnic Identification of Maori‐European Children in New Zealand

Studies of multiethnic families often assume the ethnic identification of children with the minority group results from the minority parent. This study examines an alternate view that mainstream parents also play an important role in transmitting minority ethnicity. It explores this argument using data from New Zealand on the ethnic labels mothers assign to their Maori‐European children. It finds that European mothers are just as disposed as Maori mothers to designate their child as Maori, either exclusively or in combination. Two explanations, grounded in ethnic awareness and gendered inheritance, are proposed. Although neither satisfactorily predicts maternal designation decisions, the readiness of European mothers to identify their child as Maori underscores their role in diffusing Maori ethnicity.     

SURVIVE THEN THRIVE: DETERMINANTS OF SUCCESS IN THE ECONOMICS PH.D. PROGRAM

This study investigates the completion of the Ph.D. in economics. We use ex ante information, based upon reviewing individual applications from former doctoral students. Students need different skills to succeed at each distinct stage of the doctoral program. Significant determinants for passing the comprehensive exams include Graduate Record Exam (GRE) verbal and quantitative scores, a Masters degree, and prior focus on economics. By contrast, research motivation and math preparation play significant roles in completing the dissertation. GRE scores become insignificant for completion in the generalized ordered logit estimates, which emphasize the sequential nature of the Economics Ph.D. program . ( JEL I210)     

Self,Emotions, and Extreme Violence: Extending Symbolic Interactionist Theorizing

Extreme violence revolves around actions of individuals who are emotionally aroused and willing to kill themselves, if need be, to inflict harm on enemies. Terrorism, gangbanging, and genocide are conspicuous examples of extreme violence. This violence is ultimately driven by repressed negative emotions about self that are transmuted into variants of anger and combinations of anger with satisfaction‐happiness to produce emotions such as hatred, righteous anger, and vengeance. This theory combines symbolic interactionism's emphasis on identity and self with key ideas from gestalt theories, psychoanalytic theories, and interaction ritual theory as well as data from primatology, evolutionary biology, and neurology. I explain extreme violence as the outcome of several converging forces: the neurological capacity for humans as evolved apes to experience and express a large palate of high‐intensity emotions, the experience of shame in key institutional spheres, the repression of shame (and, at times, guilt and alienation as well as other highly charged negative emotions), the intensification and transmutation of these repressed emotions into variants and elaborations of anger, the making of external attributions blaming external targets for negative experiences, the portrayal of these targets in highly negative terms, and the charging up of positive emotions in interaction rituals directed at inflicting harm on external enemies.     

THE DIFFUSION OF MEDICAL TECHNOLOGY: SOCIAL NETWORK ANALYSIS AND POLICY RESEARCH

The purpose of this article is to demonstrate how social network analysis can be used to provide information for policy decisions pertaining to physicians' adoption and utilization of new medical technology. Interviews and hospital records were used to obtain data on refenals, consultations, discussions, and on-call coverage; utilization of a computer-based hospital information system; and personal and practice characteristics from 24 physicians who belong to a private group practice. The results of a block-model analysis suggest that the physician's relative position in the network is an important determinant of his/her participation in the diffusion process. A number of policy implications related to the introduction of new medical technology into practice settings are discussed.     

The Social Shaping of Emotion: The Case of Grief*

This article addresses the issue of how deeply social arrangements may penetrate into private emotion, in this instance, grief. It argues that the data necessary to address the issue satisfactorily are not available and thus current assumptions in the literature about the universality of the grief experience are at least suspect. However, there are theoretical reasons, derived from interactionist thought, to suspect that if certain components of the grief experience vary, so will the experience. Four of these components are examined (level of significance of the other who dies; definition of the situation surrounding the death; character of the self experiencing a loss through death; and the interactional situation/setting in which the prior three components occur). Evidence is also presented which is suggestive of space-time variation in these components. It is concluded that an assumption of the deep social shaping and thus the variability of grief is fruitful for further empirical inquiries.     

Principal component and correspondence analysis of compositional data: some similarities

Principal component and correspondence analysis can both be used as exploratory methods for representing multivariate data in two dimensions. Circumstances under which the, possibly inappropriate, application of principal components to untransformed compositional data approximates to a correspondence analysis of the raw data are noted. Aitchison (1986) has proposed a method for the principal component analysis of compositional data involving transformation of the raw data. It is shown how this can be approximated by a correspondence analysis of appropriately transformed data. The latter approach may be preferable when there are zeroes in the data.     

Who Cares If Police Become Violent? Explaining Approval of Police Use of Force Using a National Sample

Understanding police violence is important in part because police violence, if generally tolerated, could transform a society based on law into one governed by political and personal whim. This research asks whether the conflict perspective can explain which groups are more likely to approve of police use of force, and whether several dimensions of power are at issue or just a few. Previous studies have found that race is the most important factor in determining approval of police use of force. Gender, age, class, and other variables have shown mixed results. Using a national sample (1998 General Social Survey), this paper contributes a more comprehensive examination of this issue to the small body of literature in this area. We look at approval of police use of force in five scenarios. Our findings show that minorities and women are more likely to disapprove of police use of force. Supporting a narrow application of conflict theory, other dimensions of power appear not to affect attitudes toward police hitting citizens. Context of violence matters too. When situations are not actively threatening for officers, by near consensus, violence is unacceptable. Disagreement comes from less clear-cut circumstances.