An attributional examination of retributive versus utilitarian philosophies of punishment

Two basic goals of punishment—retribution and utility—and the means to those goals, including isolation, rehabilitation, and the creation of fear, were first examined. The objectives of punishment were then related to attributions regarding the cause of a transgression. It was documented that punishment goals are mediated by the expectancies and affects that are elicited by causal beliefs. It also was argued that the purposes of punishment are more state-like than trait-like, for they change as a function of the reason for a transgression. Data from three laboratory experiments, as well as a field study regarding reactions to O. J. Simpson for his alleged crimes, were presented in support of the above beliefs. In addition, the morality of retribution versus utilitarianism was discussed in the context of the caning of Michael Fay in Singapore. It is suggested that rehabilitation may be the most moral of the punishment means.     

Rhetoric and rationality: A study of democratization in the Soviet Union

Can political actors use rational strategies for political conflict when established institutions are unavailable to structure political choices because the institutions are themselves among the contested issues? In Soviet politics from 1985 to 1991, cross-cutting cleavages placed in question the possibility of any stable outcome. We argue that a multi-dimensional issue space was reduced to a single dimension, along which Mikhail Gorbachev could temporarily occupy a median, by the interaction between Gorbachev's own rhetoric and rhetorical tactics used by leaders of his nomenklatura opposition, by Boris Yeltsin as the leader of the democratic opposition, and by single-issue groups called neformaly. The match between these four players' rhetorics and the four strategic options identified by a simple spatial model offers empirical evidence that rational strategies were available despite institutional flux.     

Juvenile offenders

LL.B., Leeds University 1955; LL.M., University of Singapore 1963.     

Measuring technology transfer performance: A case study

The debate continues on how to measure results of technology transfer. New and revised models are being conceived and tested in various economic settings. This paper addresses the performance measures that are being derived from the Huntsville/Madison County Chamber of Commerce technology transfer program.     

Distinguishing between the effects of swing ratio and bias on outcomes in the US Electoral College, 1900–1992

We review a number of different statistical techniques for creating seats-votes curves and apply the most reliable of these to estimate seats-votes relationships in the US electoral college 1900–1992. We consider the now rejected claim, once firmly established as part of the common journalistic and even academic wisdom, that the US Electoral College has recently been strongly biased in favor of Republicans, and show that this claim was based largely on a confusion between bias (asymmetry in the electoral college gains earned by the votes received by different parties or candidates) and swing ratio (responsiveness of change in electoral college seat share to change in popular vote). Although there has been substantial bias during this century in the way the electoral college translates Democratic and Republican votes into electoral college seats, and for the earlier party of this century (from 1900 to 1940) that bias has been in favor of Republicans, to explain why many recent electoral college majorities have been so lopsided we must look not at bias but at swing ratio.We show that the swing ratio in the electoral college has generally been increasing since 1900, rising from an average value (1900–1924) around three to an average value (1976–1992) ranging from about five to about eight, depending upon which of the various statistical estimation techniques we use. Thus, for every one point vote share gain above 50 per cent, a winning presidential candidate in a two-candidate competition can now expect to pick up somewhere between a 5 percentage point and an 8 percentage point increase in electoral college seats—giving the illusion of mandate even for relatively close contests and frequently creating apparent landslides. We show that this historical rise in swing ratio in presidential elections is due almost entirely to changes in the responsiveness of outcomes in the US South as the influence of the Civil War slowly (very slowly) erodes. Drawing on the analysis of the determinants of bias and of swing ratio in the House of Representatives in Brady and Grofman (1991b), we show that the increases in electoral college swing can be accounted for by the nationalization of presidential competition as signaled by the decrease over time in the standard deviation of Democratic share of the two-party vote across states, and that changes in bias can be linked to changes in the magnitude of differences between the mean and the median of that distribution.     

Conceptualizing voter choice for directional and discounting models of two-candidate spatial competition in terms of shadow candidates

In contrast to the traditional modeling of voter choice based on proximity, under directional models, selection of candidates is based on the direction and/or intensity of change from a status quo or neutral point. Voter choice can also be modeled as representing both approaches, e.g., as a directional model with proximity restraint, or alternatively, in terms of proximity to discounted positions. We provide a unified perspective for these seemingly disparate models in terms of what we call “shadow” positions. We demonstrate that voter choice in a variety of spatial models including directional components can be viewed as proximity-based choices. Voters choose the candidate whose shadow is nearer, where shadow locations are defined by a simple transformation. We apply this approach to equilibrium analysis, showing that results for a discounted proximity model can be carried over – via shadows – to a variety of directional models.     

Optimizing group judgmental accuracy in the presence of interdependencies

Consider a group of people confronted with a dichotomous choice (for example, a yes or no decision). Assume that we can characterize each person by a probability, p _i, of making the ‘better’ of the two choices open to the group, such that we define ‘better’ in terms of some linear ordering of the alternatives. If individual choices are independent, and if the a priori likelihood that either of the two choices is correct is one half, we show that the group decision procedure that maximizes the likelihood that the group will make the better of the two choices open to it is a weighted voting rule that assigns weights, w _i, such that $$w_i \propto \log \frac{{p_i }} {{1 - p_i }}.$$ We then examine the implications for optimal group choice of interdependencies among individual choices.