Comparative power structures in American communities

This is an argument for the plausibility of comparative network analyses of power in American cities. In terms of structural analyses of community power and decision-making, traditional methods of obtaining network data have fostered and enervating gap between the substantive richness of case studies and the generalizability of comparative studies. The purpose here is to describe a practical method of gathering ersatz network data from interviews with a small number of strategically chosen informants so as to conduct comparative network analyses of community power. The ersatz network element z_ij is the extent to which two types of actors I and J are perceived by informants as having simultaneous control over community issues. Using data from interviews with informants in 51 American cities, the ersatz network data are shown to be efficient, reliable and substantively valid despite their low cost. The data are efficient in the sense that the proportion of sampling variance in an estimated network element declines exponentially with increase in the element's magnitude. The data are reliable in the sense that estimated structures are stable over issue and informant bias per se. The data are valid in the sense that they are consistent with previous community research; types of ersatz power structures are located in the 51 cities (a machine structure, an urban structure, a faction structure, and a class of reform government structures) and these types occur in cities with characteristics known to be associated with each type of power structure. I conclude with a summary and comments regarding future research; the selection of informants and the use of a computer program in which easily available characteristics of a community are the basis for predicting the type of power structure it most likely exhibited during the late 1960s.     

Bayesian Binomial Regression: Predicting Survival at a Trauma Center

Standard methods for analyzing binomial regression data rely on asymptotic inferences. Bayesian methods can be performed using simple computations, and they apply for any sample size. We provide a relatively complete discussion of Bayesian inferences for binomial regression with emphasis on inferences for the probability of “success.” Furthermore, we illustrate diagnostic tools, perform model selection among nonnested models, and examine the sensitivity of the Bayesian methods.     

Parenting as A “package deal”: Relationships,fertility, and nonresident father involvement among unmarried parents

Fatherhood has traditionally been viewed as part of a “package deal” in which a father’s relationship with his child is contingent on his relationship with the mother. We evaluate the accuracy of this hypothesis in light of the high rates of multiple-partner fertility among unmarried parents using the Fragile Families and Child Wellbeing Study, a recent longitudinal survey ofnonmarital births in large cities. We examine whether unmarried mothers’ and fathers’ subsequent relationship and parenting transitions are associated with declines in fathers ’ contact with their nonresident biological children. We find that father involvement drops sharply after relationships between unmarried parents end. Mothers’ transitions into new romantic partnerships and new parenting roles are associated with larger declines in involvement than fathers’ transitions. Declines in fathers’ involvement following a mother’s relationship or parenting transition are largest when children are young. We discuss the implications of our results for the well-being ofnonmarital children and the quality of nonmarital relationships faced with high levels of relationship instability and multiple-partner fertiliy.     

A note on asymptotics for quantile smoothing splines

When cubic smoothing splines are used to estimate the conditional quantile function, thereby balancing fidelity to the data with a smoothness requirement, the resulting curve is the solution to a quadratic program. Using this quadratic characterization and through comparison with the sample conditional quan-tiles, we show strong consistency and asymptotic normality for the quantile smoothing spline.     

Leader political support: Reconsidering leader political behavior

Historically, organizational politics and political leader behavior have been framed and characterized negatively, as self-serving and counter-productive. However, scholars have noted that political acts can achieve positive ends, and have called for further discussions of positive forms of political leadership. Continuing in this recent stream of research on positive perspectives on organizational politics, a framework of leader political support is proposed, suggesting that the positive features of leader political behavior, and testable propositions are developed. The leader political support construct is defined and its antecedents are explicated utilizing a social capital perspective. Additionally, social exchange theory is used to explain the consequences of leader political support. Contributions to both leadership and organizational politics literatures and directions for future research are discussed.     

Mathematical morphology: A useful set of tools for image analysis

In this paper we give an overview of both classical and more modern morphological techniques. We will demonstrate their utility through a range of practical examples. After discussing the fundamental morphological ideas, we show how the classic morphological opening and closing filters lead to measures of size via granulometries, and we will discuss briefly their implementation. We also present an overview of morphological segmentation techniques, and the use of connected openings and thinnings will be demonstrated. This then leads us into the more recent set-theoretic notions of graph based approaches to image analysis.