Unintended consequences of Immigration Reform: Discrimination and hispanic employment

The record-keeping requirements of the Immigration Reform and Control Act(IRCA), and fines for illegal employment, may induce employers to discriminate against foreign-appearing workers. The General Accounting Office (GAO) reported widespread IRCA-related discrimination but did not link reported discriminatory practices to discriminatory employment behavior. We analyze the GAO’s random survey and, controlling for selectivity effects, demonstrate that employers who report discriminatory practices actually employ fewer Hispanics. Although the measured reduction of Hispanic employment due to IRCA is fairly small, this finding parallels research alerting us to adverse consequences of a law that so far has achieved few of its intended effects.     

Strength in Process: Using Concept Mapping to Inform Community Coalition Development

This study reports on the use of Concept Mapping to delineate a conceptual framework germane to the planning and initial formation of tri-county rural diabetes coalition in a southeast US community. The focus of the tricounty coalition is to reduce diabetes-related inequalities in vulnerable populations. After a review of pertinent literature on community coalitions, this article explicates Concept Mapping processes utilized to plan and organize the formation of a coalition, offers analyses of the results, and discusses implications for current and future practices pertaining to community coalition work.     

Business Education: Real Time or Semester Time?

Both the context and content of management education are changing as new providers compete for market share. As education goes increasingly online and offcampus, many traditional universities will feel the effects of consolidation within their own ranks. Business schools will face additional pressure as corporate universities and Internet universities offer an economical and effective means of professional education. Unless MBA programs seize opportunities for creative collaboration, today’s potential partners will become tomorrow’s predators. This revised version was published online in July 2006 with corrections to the Cover Date.     

Competing Failure Risk Analysis Using Evidence Theory

Safety systems are important components of high-consequence systems that are intended to prevent the unintended operation of the system and thus the potentially significant negative consequences that could result from such an operation. This presentation investigates and illustrates formal procedures for assessing the uncertainty in the probability that a safety system will fail to operate as intended in an accident environment. Probability theory and evidence theory are introduced as possible mathematical structures for the representation of the epistemic uncertainty associated with the performance of safety systems, and a representation of this type is illustrated with a hypothetical safety system involving one weak link and one strong link that is exposed to a high temperature fire environment. Topics considered include (1) the nature of diffuse uncertainty information involving a system and its environment, (2) the conversion of diffuse uncertainty information into the mathematical structures associated with probability theory and evidence theory, and (3) the propagation of these uncertainty structures through a model for a safety system to obtain representations in the context of probability theory and evidence theory of the uncertainty in the probability that the safety system will fail to operate as intended. The results suggest that evidence theory provides a potentially valuable representational tool for the display of the implications of significant epistemic uncertainty in inputs to complex analyses.     

Qualitative variance,entropy, and correlation ratios for nominal dependent variables

In this paper we derive a measure of dispersion for a nominal variable having k ? 2 categories and compare it with ordinary quantitative variance and with entropy. We then develop two qualitative analogs to the R² statistic, one based on qualitative variance, the other on entropy. For concreteness, data from the study of The American Soldier by S. A. Stouffér, E. A. Suchman, L. C. Devinney, S. A. Star, and R. M. Williams, Jr. (1949, Princeton Univ. Press, Princeton, N.J.) are used to illustrate the computations and compare these two correlation ratios for a variety of logit models. It is shown that both measures are reasonable measures of the proportion of variation of one or more qualitative dependent variables explainable by any mixture of qualitative and quantitative predictor variables. They can be used with logit, probit, dummy variable regression models, or probability models of some other type.     

THE NEW MEDIA AND OUR POLITICAL COMMUNICATION DISCONTENTS: DEMOCRATIZING CYBERSPACE

This article argues that the new interactive media have a 'vulnerable potential' to enhance public communications and enrich democracy, which can be realized only through appropriate policy support and imaginative institution building. After outlining the main shortcomings of the prevailing political communication system, certain elements of redemptive potential, inherent in distinctive features of the Internet, are identified. The policy implications of this analysis are then drawn for the public-service obligations of mainstream media, to ensure open access to new media platforms, and to create a 'civic commons' in cyberspace.     

Modeling Repeatable Events Using Discrete‐Time Data: Predicting Marital Dissolution

I join two methodologies by illustrating the application of multilevel modeling principles to hazard‐rate models with an emphasis on procedures for discrete‐time data that contain repeatable events. I demonstrate this application using data taken from the 1995 National Survey of Family Growth (NSFG) to ascertain the relationship between multiple covariates and risk of subsequent marital dissolution. I consider both fixed‐ and random‐effects versions of the multilevel model, as well as a Generalized Estimating Equation alternative to estimating random effects. I compare results obtained from the various estimators, noting why differences occur, and recommend when to choose the various alternatives. I also provide a set of SAS and STATA programs that can be used to analyze the NSFG data.     

BSW Program Administration: Directors' Perceptions of Their Power to Manage

Abstract

A national survey of 299 bachelor of social work (BSW) program directors was conducted to identify management functions of director positions and perceptions of power to influence these functions. Sources of personal, structural, and institutional power were found to be important predictors of power for middle managers in academic settings. Findings indicated that BSW directors have varying perceptions of power to direct their programs and manage resources associated with departmental administration in higher education. This study supports the complexity of academic management and emphasizes the need to broaden social work education to help provide a foundation for administration in academic settings.     

Reviews

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