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.     

Premarital Sex,Premarital Cohabitation,and the Risk of Subsequent Marital Dissolution Among Women

Using nationally representative data from the 1995 National Survey of Family Growth, I estimate the association between intimate premarital relationships (premarital sex and premarital cohabitation) and subsequent marital dissolution. I extend previous research by considering relationship histories pertaining to both premarital sex and premarital cohabitation. I find that premarital sex or premarital cohabitation that is limited to a woman's husband is not associated with an elevated risk of marital disruption. However, women who have more than one intimate premarital relationship have an increased risk of marital dissolution. These results suggest that neither premarital sex nor premarital cohabitation by itself indicate either preexisting characteristics or subsequent relationship environments that weaken marriages. Indeed, the findings are consistent with the notion that premarital sex and cohabitation limited to one's future spouse has become part of the normal courtship process for marriage.     

The effects of welfare and child support policies on union formation

We use data from a new longitudinal survey – the Fragile Families and Child Wellbeing Study – to examine how welfare and child support policies, and local labor market conditions, affect union formation among unmarried parents who have just had a child together. We use multinomial logistic regression to estimate the effects of the policy variables along with economic, cultural/interpersonal, and other factors on whether (relative to being in a cohabiting relationship) parents are not romantically involved, romantically involved living apart, or married to each other about one year after the child's birth. We find that – contrary to some previous research – higher welfare benefits discourage couples from breaking up, while strong child support enforcement reduces the chances that unmarried parents will marry; local unemployment rates do not appear to be strongly associated with union formation decisions after a nonmarital birth.     

Summarizing the Effect of a Wide Array of Amenity Measures into Simple Components

A significant issue existing within the rural economic development literature revolves around the difficulty with sorting out the controversy of the effects of amenity activities on rural economic growth. This problem is due to the different ways amenity attributes are linked to regional economic performance. Numerous researchers utilize principal component analysis to compress groups of variables that describe attributes of natural-based amenity and quality of life into scalar measures. While principal components are good at reducing a collection of variables into single measures, they often lack interpretability because they define some abstract scores which are often not meaningful or not well interpretable in practice. We apply the simple component analysis suggested by Rousson and Gasser (2004, Applied Statistics 53, 539–555) to summarize the information in groups of variables into a limited number of simple components and improve interpretability at a modest loss of optimality. Simple components allow us to identify and interpret the effect of attributes that most influence regional economic performance so as to gain better insight into policies to preserve and advance those attributes. The same methodology is appropriate for any social science discipline when there is a need to replace a larger number of multiple indicator measurements with a smaller set.     

Low-Income Children's Participation in a Public Health Insurance Program in Georgia

To expand health care coverage to uninsured, low-income children, the Congress created the State Children's Health Insurance Program (SCHIP) in 1997. Given ample evidence that state Medicaid programs have failed to enroll many eligible children, experts questioned whether SCHIP could successfully enroll low-income children. Using Georgia state SCHIP data, we analyzed enrollment patterns and identified factors contributing to program enrollment. This study found that the children's enrollment is explained by perceived costs and benefits of joining the program as well as the underlying family structure, demographic factors, and health status. We discuss implications of these findings on the participation of low-income families in public sector programs.     

Exploring the Unknown: Predicting the Responses of Publics not yet Surveyed

This article argues that cultural change is roughly predictable: to a large extent, it is shaped by a few variables included in a model of cultural modernization that is presented here. The beliefs and values of a society's people are also affected by unique world events and country-specific factors that would not fit into a general model, such as a given society's political parties and leaders, so our predictions will not be precisely accurate. Nevertheless, in this article we will stick our necks out and predict the locations on two major cultural dimensions of all the countries likely to be included in the next wave of the World Values Survey, to be carried out in 2005–2006. Using a simple predictive model based on our revised version of modernization theory, we first ‘predict’ and test the positions that 80 societies should have on a two major dimensions of cross-cultural variation in the most recent wave of surveys (carried out in 1999–2001); we find that our predictions are surprisingly accurate: the average prediction for a given country falls within a small radius of the location that is actually observed on the cross-cultural map (specifically: the average prediction and the actual location fall within a circle that occupies less than two percent of the map's area). We then use this same model to predict the survey responses that we expect to find for 120 countries that are most likely to be surveyed in the next wave of surveys, in 2005–2006. Almost half of these countries have not been included in our previous surveys (and a number have never been covered in any survey of which we are aware). These are genuine blind predictions – which we believe is an important challenge for social scientists. Our predictions will not be exactly correct; in some cases, they will not even be in the right ballpark. But we are confident that in the great majority of cases, they will come much closer to the observed results than would random guesses. We are confident that these a priori predictions will be reasonably close to the results obtained from actual fieldwork, because analysis of data from more than 60 societies surveyed in previous waves of the World Values Surveys and European Values Surveys indicates that cross-cultural differences in basic values have a surprisingly consistent relationship with economic development. The values and beliefs of mass publics vary a great deal cross-nationally, but they tend to vary in a roughly predictable way that can be derived from a revised version of modernization theory.     

DETECT

DETECT is an inexpensive, easy to use, general-purpose, Monte Carlo simulation program for IBM and compatible personal computers. It can be used to quickly analyze fault trees or functions of random variables. DETECT provides a wide variety of input distributions to choose from and a dependency (correlation) option. The result of the analysis is a probability distribution over the variable of interest. We look forward to further improvements (e.g., graphics, full-screen editing, ability to inspect intermediate results) that will make DETECT even more useful and attractive.