PUBLIC ADMINISTRATION EDUCATION AND TRAINING IN THE THIRD WORLD: PROBLEMS AND OPPORTUNITIES

Nations of the Third World are not developing as quickly as their potential suggests they should. This article posits that one of the major reasons for this lack of development is a scarcity of trained public managers. Teaching citizens of developing countries public administration presents a special challenge. The authors point out that the emphasis in training these individuals should be placed on practical learning. In addition, curriculum should not be based solely on the American model, but should recognize the cultural and economic dissimilarities that exist. The authors close the article by suggesting some possible training approaches for developing nations.     

Specification Issues in Proximity Models of Candidate Evaluation (with Issue Importance)

Bryce E. Corrigan Department of Political Science, University of Michigan, 5700 Haven Hall, 505 S. State Street, Ann Arbor, MI 48109-1045 e-mail: becorrig{at}umich.edu e-mail: grynaviski{at}uchicago.edu (corresponding author) The use of the proximity model to represent the relationshipbetween citizens' policy attitudes and the positions of candidateson the issues of the day has considerable appeal because itoffers a bridge between theoretical models of political behaviorand empirical work. However, there is little consensus amongapplied researchers about the appropriate representation ofvoter behavior with respect to the measurement of issue distance,candidate location, or whether to allow heterogeneity in theweight that each individual places on particular issues. Eachof these choices suggests a different, and reasonably complicated,nonlinear relationship between voter utility and candidate andvoter issue positions which may have a meaningful influenceon the substantive conclusions drawn by the researcher. Yet,little attention has been given to the best way to representthe proximity model in applied work. The purpose of this paperis to identify which forms of the proximity model work best,with particular consideration given to the identification offunctional forms that are invariant to the choice of scale forthe independent variables.     

Forensic analysis of bicomponent fibers using infrared chemical imaging

The application of infrared chemical imaging to the analysis of bicomponent fibers was evaluated. Eleven nominally bicomponent fibers were examined either side-on or in cross-section. In six of the 11 samples, infrared chemical imaging was able to spatially resolve two spectroscopically distinct regions when the fibers were examined side-on. As well as yielding characteristic infrared spectra of each component, the technique also provided images that clearly illustrated the side-by-side configuration of these components in the fiber. In one case it was possible to prepare and image a cross-section of the fiber, but in general the preparation of fiber cross-sections proved very difficult. In five of the 11 samples, the infrared spectra could be used to identify the overall chemical composition of the fibers, according to a published classification scheme, but the fiber components could not be spatially resolved. Difficulties that are inherent to conventional "single-point" infrared spectroscopy, such as interference fringing and sloping baselines, particularly when analyzing acrylic type fibers, were also encountered in the infrared chemical image analysis of bicomponent fibers. A number of infrared sampling techniques were investigated to overcome these problems, and recommendations for the best sampling technique are given. Chemical imaging results were compared with those obtained using conventional fiber microscopy techniques.