Evaluation of an analysis approach used to account for extra-variation in clustered categorical responses

This article presents the results of a simulation study investigating the performance of an approach developed by Miller and Landis (1991) for the analysis of clustered categorical responses. Evaluation of this “two-step” approach, which utilizes the method of moments to estimate the extra-variation pardmeters and subsequently incorporates these parameters into estimating equations for modelling the marginal expectations, is carried out in an experimental setting involving a comparison between two groups of observations. We assume that data for both groups are collected from each cluster and responses are measured on a three-point ordinal scale. The performance of the estimators used in both “steps” of the analysisis investigated and comparisons are made to an alternative analysismethod that ignores the clustering. The results indicate that in the chosen setting the test for a difference between groups generally operatbs at the nominal α=0.05 for 10 or more clusters and hasincreasing power with both an increasing number of clusters and an inrreasing treatment effect. These results provide a striking contrasc to those obtained from an improper analysis that ignores clustering.     

The effects of motherhood timing on career path

This paper estimates the effects of motherhood timing on female career path, using biological fertility shocks to instrument for age at first birth. Motherhood delay leads to a substantial increase in earnings of 9% per year of delay, an increase in wages of 3%, and an increase in work hours of 6%. Supporting a human capital story, the advantage is largest for college-educated women and those in professional and managerial occupations. Panel estimation reveals both fixed wage penalties and lower returns to experience for mothers, suggesting that a “mommy track” is the source of the timing effect.     

Civic Epistemologies: Constituting Knowledge and Order in Political Communities

How do we know things? The question of epistemology – which drives both the sociology and philosophy of science – is also a crucial question for political sociology. Knowledge is essential to even the most basic and foundational of political processes and institutions. In 2000, for example, the transition of power in the US presidential election hung for 36 days on uncertainty over a seemingly simple question of fact: who won the most votes in Florida? A few years later, disputed factual claims about Iraq's possession of weapons of mass destruction unraveled, calling into question key justifications of the US decision to invade Iraq in 2003 and significantly weakening perceived US legitimacy. Yet, surprisingly, sociologists and political scientists know relatively little about how knowledge gets made in political communities, nor how the making of knowledge is tied to other key aspects of political life, such as identity, authority, legitimacy, and accountability.     

Innovations in child protective services inservice training: commitment to excellence

The overwhelming obstacles to effective CPS intervention created by increasing reports of abuse and neglect, funding shortfalls, and the lack of qualified workers have prompted national efforts to reform the public child welfare system in the United States. Organizations such as the American Public Welfare Association, the Children's Defense Fund, the Child Welfare League of America, and the National Association of Social Workers are currently working closely with other national organizations to develop legislative proposals that will enable child welfare agencies to be more responsive to the needs of children and families. A critical component of this reform is the need to recruit, train, and retain qualified and competent CPS workers. The four training programs described in this article are examples of innovative programs seeking to enhance service delivery by enhancing the knowledge and skills of their staff members. Although the four programs were developed in very different political and social climates and within diverse organizational structures, they all provide useful lessons in how to develop efficient and effective training for workers delivering protective services for children. Any national, state, or local efforts to design and develop new CPS training programs should take into account the significant strides made by these agencies.     

DEREGULATION AND THE RELIGIOUS MARKET IN TAIWAN: A Research Note

The religious economy model predicts that when encountered with competition, loosely organized religions will fail or will be transformed into congregational religions. Over time, competition will drive congregational religions to establish an extended relationship with their consumers by generating exclusivist claims and exclusivist socialization. And thus exclusive religion tends to occupy the biggest market share. This model, however, has rarely been tested empirically. By analyzing religious trends in Taiwan after the deregulation of the late 1980s, we find that state suppression contributed to the weakness of organized religion while enhancing the popularity of unchurched congregational religions in Taiwan. We also find that deregulation is associated with the rise of organized and congregational faiths. But whether or not these newly organized religions become exclusive or not needs further studies. Implications of the findings for future research are offered.     

Moments of Inertia and Graph Separators

Graphs that arise from the finite element or finite difference methods often include geometric information such as the coordinates of the nodes of the graph. The geometric separator algorithm of Miller, Teng, Thurston, and Vavasis uses some of the available geometric information to find small node separators of graphs. The algorithm utilizes a random sampling technique based on the uniform distribution to find a good separator. We show that sampling from an elliptic distribution based on the inertia matrix of the graph can significantly improve the quality of the separator. More generally, given a cost function f on the unit d-sphere Ud, we can define an elliptic distribution based on the second moments of f. The expectation of f with respect to the elliptic distribution is less than or equal to the expectation with respect to the uniform distribution, with equality only in degenerate cases. We also demonstrate experimentally that the benefit gained by the use of the additional geometric information is significant. Some previous algorithms have used the moments of inertia heuristically, and suffer from extremely poor worst case performance. This is the first result, to our knowledge, that incorporates the moments of inertia into a provably good strategy.