The Role of Emotional Response during an H1N1 Influenza Pandemic on a College Campus

This study investigates how both positive and negative emotions relate to stakeholders' attributions of crisis responsibility, relational trust, and willingness to engage in crisis-related information seeking from the organization. Structural equation modeling was used to analyze data obtained from a survey of 429 students in a university that experienced a large H1N1 influenza outbreak. Students felt several positive emotions more frequently than negative emotions during a flu pandemic. Crisis responsibility was associated with both negative and positive emotions, and these emotions were significant mediators between crisis responsibility and both relational trust and willingness to seek information from the organization in a crisis. Implications of these findings are discussed.     

DTREE,The Electronic DSM-111-R

A study showing that student internet behavior differed significantly for students with high scores on a test of depression is thought to be the first to consider the relationship between internet use and depression that focuses on patterns of online behavior rather than content. Study findings have the potential for use in the human services as a way to assess and/or promote mental health. Although the data were collected anonymously with Institutional Review Board approval and participants' informed consent, objections have been raised suggesting this type of data collection represents “Big Brother” or the monitoring of individuals' behavior without their awareness as portrayed in George Orwell's famous novel, 1984. The importance of this type of research in furthering our understanding of the impact of Internet use on human behavior is emphasized. Additionally, the role of the university is stressed as a location for conducting ethical research which disseminates findings via publication to inform and spur policymakers to develop appropriate guidelines to prevent misuse of new knowledge and technology.     

Occupational Channels for Mexican Migration: New Destination Formation in a Binational Context

In the 1990s, Mexican immigration dispersed spatially, leading to the emergence of many “new destinations,” in nonmetropolitan areas of the United States. Previous studies constrain the scope of the analysis to the United States, limiting our understanding of how new destinations are formed. We place new destination formation into a binational context and emphasize the role of supply‐side immigration dynamics. We argue that occupations in Mexico provide ready‐made paths, or “channels,” for economic incorporation into the United States and that these channels underlie the formation of many new destinations. Using a unique data set on Mexican migration, we estimate a multivariate model that tests for the presence of occupational channels linking analogous sectors of the U.S. and Mexican economies, focusing especially on the food‐processing sector. The results demonstrate that Mexican migration is strongly channeled along occupational lines. There are occupational channels linking each of the major economic sectors in Mexico and the United States, but the effect of channeling is particularly strong in the food‐processing sector. By empirically identifying the existence of occupational channels, this study uncovers a key explanation of new destination formation in many nonmetropolitan areas.     

An exploration of the robustness of alternative laboratory methodologies: Matching funds and the provision of public goods

The voluntary provision of a pure public good is studied in the presence of an anonymous external donor. New data generated using experimental procedures employing both extra-credit and cash incentives, as well as asynchronous access to real-time decision rounds lasting several days, are compared to previous data generated using traditional cash-only, synchronous-access laboratory procedures. The effect on resource allocations to the public good of introducing external matching funds is examined in two different settings, lump-sum matching and one-to-one matching. The new data confirm the robustness of results previously reported in Baker et al. (2009) to the change in laboratory procedures and incentives. The new data are then used to extend the parameter space in which the two matching mechanisms are studied, including: varying within-round information regarding the current level of public-good allocations and varying group size from four to twenty group members. Allocations in lump-sum matching are no worse, and sometimes better, than one-to-one matching in these new treatments.     

Parameter estimation in a highly non-linear model using simultaneous perturbation stochastic approximation

Often it is necessary to estimate the parameters of a model or unknown system. Various techniques exist to accomplish this task, including Kalman and Wiener filtering, least-mean-square (LMS) algorithms, and the Levenberg-Marquardt(L-M) algorithm. These techniques require an analytic form of the gradient of the function of the parameters to be estimated. A key feature of the simultaneous perturbation stochastic approximation (SPSA) method is that it is a gradient-free optimization technique (Spall; 1992,1998a,b, 1999). In the current problem, the function of parameters to be identified is highly non-linear and of sufficient difficulty that obtaining an analytic form of the gradient is impractical. Therefore, in this paper the

performance of the SPSA algorithm will be examined in terms of parameter selection, data requirements, and convergence performance on this non-linear problem. Results will be reported on both a first-order "standard" implementation of SPSA and on a second-order version of SPSA that tends to enhance convergence.     

FILE MANAGEMENT IN MANAGEMENT INFORMATION SYSTEMS*

The file management requirements of a particular management information system, that used for intelligence operations, are examined and a data storage and retrieval system developed that can be either manual or computer based. Scoring models are used to quantify the value of information. Values are adjusted dynamically so that decisions can be made on which items to add and which existing items to delete. Results of experiments with a police intelligence system are presented.     

Multilevel causal attributions on transboundary risk: Effects on attributions of responsibility,psychological distance,and policy support

This study used two randomized experiments in a prospective design (Study 1 N = 297, Study 2 N = 296) to examine how multilevel causal attribution dimensions (internal vs. external to an individual or a country) shape domestic and foreign policy support to counter transboundary risk. Results from Study 1 and 2 showed that external-country (vs. internal-country) causal attribution reduced perceptions of internal-country attributions of responsibility, which had a cross-lagged effect on support for domestic-industry policies to mitigate the risk. In contrast, perceptions of external-country attributions of responsibility increased support for foreign policies in a 2-week follow up. This study offers theoretical insights into the demarcation of multilevel causal attribution dimensions in studying media framing effects. It also highlights some important causal mechanisms of how media frames shape public support for policies aimed at transboundary risk mitigation.