Providing Spatial Data for Secondary Analysis: Issues and Current Practices Relating to Confidentiality

Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis—the data producer, the data archive, and the data user. We report on opportunities and challenges for each of the three players, and then turn to a summary of current thinking about how best to prepare, archive, disseminate, and make use of social science data that have spatially explicit identification. The core issue that runs through the paper is the risk of the disclosure of the identity of respondents. If we know where they live, where they work, or where they own property, it is possible to find out who they are. Those involved in collecting, archiving, and using data need to be aware of the risks of disclosure and become familiar with best practices to avoid disclosures that will be harmful to respondents.

Brief group alcohol interventions with college students: examining motivational components

The utility of brief interventions with at-risk college drinkers would be enhanced if they could also be delivered in group settings without the need for risk prescreening. The current study therefore explored whether components of brief interventions could be effectively administered to mixed groups of drinking and non-drinking students. Specifically, the outcomes of two methods aimed toward increasing motivation for change were compared to controls. One intervention focused on enhancing actual-ideal drinking behavior discrepancy through a structured group discussion, while the other focused on enhancing self-norm drinking behavior discrepancy through the provision and discussion of didactic information. Among at-risk drinkers, significant reductions in heavy drinking episode frequency at four-week follow-up were found for the self-norm (S-N) group only, while reductions in alcohol problems were obtained in both the S-N and control groups. Results suggest that self-norm discrepancy enhancement strategies may be more effective than actual-ideal discrepancy strategies when used with a mixed drinking group.     

Business games and implementation research

This paper reviews some recent research in OR implementation and suggests that a new approach is required, which will take fuller account of the perceptions of managers concerned with the problem. Research games in business settings seem to offer a means for such approach. Some lessons learned from a business game used in this way are described and their implications for modelbuilders are discussed.     

Experience with a multi-year fleet planning model

The fleet planning problem requires determination of the changing airline fleet mix based on existing traffic levels and projected growth, on the existing fleet, various aircraft types available in the future, and other operational and financial considerations. Several applicable mathematical formulations have been reported. One of these has been programmed for the computer and used by the authors for several years. This paper discusses the application of that model to real airline planning situations. Such practical experience has effected changes in the program and the manner it is used in fleet planning studies.     

The Real Walmart

The Walmart Company is one of the favorite punching bags of market critics. They accuse this firm of underpaying employees, dealing unfairly with customers, exploiting suppliers, and bankrupting small competitors. Various political jurisdictions have banned this firm from their environs, either implicitly or explicitly. The present article offers a more nuanced position on the behemoth from Arkansas. Although it has some flaws, there is an overwhelming case to be made in its behalf as an employer, competitor, purchaser, benefactor of customers.     

Developing a corporate planning model for a small company

This article describes the development and implementation of a corporate simulation model for a medium-sized New Zealand firm producing a range of medium density fiberboard products. Problems associated with the design and implementation of a planning model in a relatively young, capital-intensive company are highlighted in terms of changing objectives and model requirements. An assessment of costs and benefits is included.     

Methods for eliciting aetiological clues from geographically clustered cases of disease, with application to leukaemia–lymphoma data

The nearest neighbour analysis method has been developed to determine whether a disease case may be regarded as being unusually close to other neighbouring cases of the same disease. Using this method, each disease case is classified as spatially 'clustered' or 'non-clustered'. The method is also used to provide a test for global clustering. 'Clusters' are constructed by amalgamating geographically neighbouring clustered cases into one contiguous 'cluster area'. This paper describes a method for studying differences between clustered and non-clustered cases, in terms of case 'attributes'. These attributes may be person related, such as age and sex, or area based, such as geographical isolation. The area-based variables are subject to geographical correlation. The comparison of clustered and non-clustered cases may reveal similarities or differences, which may, in turn, give clues to disease aetiology. A method for studying 'linkage' or similarities in attributes between cases that occur in the same clusters is also described. The methods are illustrated by application to incidence data for leukaemias and lymphomas.     

Cohabiting couples’ economic circumstances and union transitions: a re-examination using multiple imputation techniques

This study examines how sample attrition and missing partner data influence studies of cohabitors’ union transitions. We rely on data from both waves of the National Survey of Families and Households (NSFH). Cohabitors with missing partner information or who were lost-to-follow-up have significantly fewer years of schooling and lower yearly earnings than cohabitors with complete data. Multiple imputation techniques are used to construct missing partner information and outcomes. Relying on prospective data from both waves of the NSFH that has not been corrected for selective data loss misrepresents cohabiting couple’s outcomes by: (1) overstating the extent to which cohabiting couples marry; (2) underestimating the amount of time spent in cohabiting unions; and (3) misrepresenting the effects of men’s economic characteristics on union transitions. Our results suggest that theories regarding how economic characteristics shape marriage transitions among singles may not be appropriate for those already living together.     

Hard and soft constraints in linear programming

The linear programme and its constraints are split into two parts. The first consists of the traditional structure, the second being akin to goal programming. SOFT constraints are weighted relative to each other and then approximately weighted relative to the HARD constraints. The LP is run four times giving different emphasis to the SOFT and HARD constraints. The manager requesting the LP has then to decide which gives the most appropriate solution.