Evolution and the nonlegal equivalent of aggressive criminal behavior

Within the framework of modern evolutionary theory, arguments are reviewed that the nonlegal equivalent of aggressive criminal behavior may have evolved by natural selection among mammals, particularly primates, as part of their overall approach to reproduction. If so, the commission of aggressive crimes (or their nonlegal equivalent) by humans, and even efforts to prevent fellow social group members from being victimized by aggressive crimes, may also be partially explainable in natural selection terms. The plausibility of this deduction was explored, first, by specifying the three elements that a human act must have to be regarded as an aggressive crime. Summarily, these were that (1) injury to a victim must be a likely result of the act, (2) the act must be intended, and (3) the act must elicit negative responses from those witnessing it. The primate behavior literature was examined for evidence that some behavior of nonhumans met all three conditions. Affirmative results were obtained. Therefore, while further research is in order, human aggressive criminal behavior, as well as human efforts to control it, seem to have close parallels in other primates. This would be consistent with the notion that aggressive criminal behavior (along with its condemnation by fellow group members) is part of a social system produced and sustained by natural selection.     

Selecting a new technology strategy using multiattribute,multilevel decision trees

Research indicates that selecting a strategy to best exploit a new technology is a complex decision-making process. The task involves making a series of decisions with multiple alternatives, each to be evaluated by multiple criteria whose values have high levels of uncertainty. This paper presents a methodology for modelling a new technology decision using decision trees and an optimizing algorithm. A problem of a mining company considering the adoption of new technology is used to illustrate the decision-making task and modelling methodology. A numerical solution to the case demonstrates the potential of the optimizing technique in strategy selection.     

Preference structures and threshold models

Preferences are often represented in terms of a function, in the deterministic case as well as in the probabilistic case. In the present paper we develop a new numerical representation of preference structures for which the strict preference relation (P) is without circuit but not necessarily transitive. Moreover, we investigate the consequences of the representation for the usual preference structures. In particular, we propose new formulations for the numerical representation of the interval order structure.     

Why do aggressive movies make people aggressive? an attempt to explain short-term effects of the depiction of violence on the observer

An explanation-approach within the frame of a universal and integrating theory of aggression is favored for understanding the effects of exposure to violence. Kornadt's Motivation Theory of Aggression is used to generate several hypotheses concerning the effects of aggressive movies on a viewer's expectancy-value-cognitions and these are tested in an experiment. The experiment suggests that aggressive stimulation is able to change aggression-related expectancy-value-cognitions in an aggression-facilitating direction. Based on these results, an attempt is made to explain increases in the aggression of viewers in terms of the Motivation Theory of Aggression. © 1993 Wiley-Liss, Inc.     

Decomposition of multivariate utility functions in non-additive expected utility theory

In expected utility many results have been derived that give necessary and/or sufficient conditions for a multivariate utility function to be decomposable into lower-dimensional functions. In particular, multilinear, multiplicative and additive decompositions have been widely discussed. These utility functions can be more easily assessed in practical situations. In this paper we present a theory of decomposition in the context of nonadditive expected utility such as anticipated utility or Choquet expected utility. We show that many of the results used in conventional expected utility carry over to these more general frameworks. If preferences over lotteries depend only on the marginal probability distributions, then in expected utility the utility function is additively decomposable. We show that in anticipated utility the marginality condition implies not only that the utility function is additively decomposable but also that the distortion function is the identity function. We further demonstrate that a decision maker who is bivariate risk neutral has a utility function that is additively decomposable and a distortion function q for which q(½) = ½.     

Delineating the Structural Precursors and Cognitive Consequences of Personal Powerlessness: the Filipino Woman's Experience

Adopting a structural-cognitive perspective and path analysis, this study demonstrates that personal powerlessness generates sequelae of maladaptive cognitions, namely, low self-esteem, low success expectancies and a weak motivation for self-improvement. Despite adverse structural and natural forces, Bicolano women exhibited self-efficacy, high self-esteem, and strong propensity for self-improvement, albeit expressing low success expectancies. These constructive cognitions can be attributed to the women's strong achievement ethic, high educational attainment, and supportive kinship system. These factors also compensate for the depressive effects of low success expectancies on the motivation for self-improvement. Implications for empowerment strategies and cognitive literature are discussed.     

Termination of information evaluation in auditing

A screening decision is about whether a candidate fails to meet a decision maker's criteria and must be rejected, or whether it meets the criteria and can be accepted. Image theory contends that screening decisions are based on a simple, noncompensatory process that focuses solely upon the candidate's negative attributes. This contention has received empirical support in a job screening context in which students role-played a hypothetical person seeking a job. But how robust is image theory's prediction? The present work was done in the context of professional auditors screening prospective clients. The client screening context is a particularly interesting setting to test the implications of image theory. If auditors reject clients with negative attributes, as predicted by image theory, this will indicate that some clients are being denied access to a socially useful service. Further, auditors can accept prospective clients with negative attributes and simply adjust the audit plan and fees to compensate for the client's riskiness. Thus, it is not clear that the preliminary findings obtained in a job screening context will generalize to the audit context. On the other hand, results consistent with the image theory prediction would suggest a robust theory. Even in the client screening context, where auditors used their own criteria to screen prospective clients, we found overwhelming support for image theory's view of screening. The results indicate the potential payoffs of image theory as a robust framework to address audit and other substantive problems. Implications of a noncompensatory, negative oriented, client screening strategy are discussed.     

Hubert's multi-rater kappa revisited

There is a frequent need to measure the degree of agreement among R observers who independently classify n subjects within K nominal or ordinal categories. The most popular methods are usually kappa-type measurements. When R = 2, Cohen's kappa coefficient (weighted or not) is well known. When defined in the ordinal case while assuming quadratic weights, Cohen's kappa has the advantage of coinciding with the intraclass and concordance correlation coefficients. When R > 2, there are more discrepancies because the definition of the kappa coefficient depends on how the phrase ‘an agreement has occurred’ is interpreted. In this paper, Hubert's interpretation, that ‘an agreement occurs if and only if all raters agree on the categorization of an object’, is used, which leads to Hubert's (nominal) and Schuster and Smith's (ordinal) kappa coefficients. Formulae for the large-sample variances for the estimators of all these coefficients are given, allowing the latter to illustrate the different ways of carrying out inference and, with the use of simulation, to select the optimal procedure. In addition, it is shown that Schuster and Smith's kappa coefficient coincides with the intraclass and concordance correlation coefficients if the first coefficient is also defined assuming quadratic weights.     

Testing two variances for superiority/non-inferiority and equivalence: Using the exhaustion algorithm for sample size allocation with cost

The equality of two group variances is frequently tested in experiments. However, criticisms of null hypothesis statistical testing on means have recently arisen and there is interest in other types of statistical tests of hypotheses, such as superiority/non-inferiority and equivalence. Although these tests have become more common in psychology and social sciences, the corresponding sample size estimation for these tests is rarely discussed, especially when the sampling unit costs are unequal or group sizes are unequal for two groups. Thus, for finding optimal sample size, the present study derived an initial allocation by approximating the percentiles of an F distribution with the percentiles of the standard normal distribution and used the exhaustion algorithm to select the best combination of group sizes, thereby ensuring the resulting power reaches the designated level and is maximal with a minimal total cost. In this manner, optimization of sample size planning is achieved. The proposed sample size determination has a wide range of applications and is efficient in terms of Type I errors and statistical power in simulations. Finally, an illustrative example from a report by the Health Survey for England, 1995–1997, is presented using hypertension data. For ease of application, four R Shiny apps are provided and benchmarks for setting equivalence margins are suggested.     

What a drag it is being relational: Developing planetary identities

Feminists scholars, among others, have long argued for a relational understanding of identity and the self. More recently queer theory and the new materialisms have taken that understanding and placed it within an evolutionary and planetary perspective. As most modern, western understandings of law, politics, and ethics take the individual as the base unit for reflection, what might this relational, planetary identity mean in terms of ethics? This brief essay explores some of the religious and theoretical supports for a relational, planetary self, and then develops a type of ethic that is based upon a critical romanticism for the planet.