Social status and friendship in peer victimization trajectories

Background/Objective: Most studies have evaluated victimization at a single time point, making it difficult to determine the impact of the time during which an individual is victimized. This longitudinal study aims to examine the differences in the levels of social status (social preference and perceived popularity) and friendship in peer victimization trajectories, and to analyse if there were changes over time in the levels of social status and friendship in each trajectory. Method: The final sample was composed of 1,239 students (49% girls) with ages between 9 and 18 (M = 12.23, SD = 1.73), from 22 schools in southern Spain. Peer nominations were collected. Results: The General Linear Model results associated the highest levels of social preference, perceived popularity and friendship with the sporadic victimization profile and the lowest levels of these dimensions with the stable profile. Conclusions:The results are discussed based on important personal aspects of stable victimization that confirms social rejection, unpopularity, and the low social support that victimization causes. This contribution is discussed in terms of health and social welfare in adolescence.     

An empirical typology of violent incidents reported by prison inmates with convictions for violence

Forty-four male prison inmates convicted for violent offences were interviewed, and details of current offence, previous convictions for violence, prison incidents, and violent situations outside of prison were obtained from each offender. Information on victim, circumstances, precipitating events, type of violence, emotions at the time, and the like, was derived for 246 violent incidents. Cluster analysis revealed eight clusters: “criminal” violence to familiar victims, peer violence within prison, domestic violence, peer violence in pubs, gang violence, violence to staff in prison, “criminal” violence to unknown victims with accomplices, and public violence against younger victims. Results were discussed in terms of treatment of violent offenders, with special emphasis on Social Skills Training.     

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.     

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.     

Dynamic multi-criteria decision making

Most medium-and long-term decision making in industry and government can be viewed as dynamic multi-criteria decision making (MCDM), in which the decision makers are free to alter the emphasis placed on each objective in the light of developing circumstances. In this paper the problem of time-dependent weights in MCDM is discussed and an analysis of empirical data associated with dynamic decision making is presented.     

An information - expectation framework for decisions under uncertainty

Despite being in existence for many decades, normative decision theory has not become a commonly used tool for real-world decisions. This paper considers the reasons for this situation and suggestions for circumventing them. The main suggestion involves a two-stage framework in terms of the information available to the decision maker and his/her expectations under the available acts. This framework is well suited for decisions with incomplete structure, which is typical of real decision situations. Within this framework a specific multiplicative model is also discussed.     

A multi-objective mathematical programming problem with fuzzy relation constraints

In this study we discuss the problem of multi-objective mathematical programming with constraints defined by ‘max-min’ composite fuzzy relation equations. Since the feasible region is normally non-convex, the properties of the efficient points of a non-convex feasible region under multi-objectives are investigated and illustrated by examples. The necessary and sufficient conditions are proposed and proved. To facilitate decisions, a procedure that transforms these efficient points of an interval-valued decision space into a constant-valued decision space is proposed when the level of confidence is given by a decision maker. Then the transformed problem becomes a multi-attribute decision problem that can be evaluated by Yager's method to find the optimal alternative.     

Refugee students' perspectives on inclusive and exclusive school experiences in Austria

This paper examines refugee students' experiences in the Austrian mainstream school system. It highlights four areas: school connectedness, social exclusion, support systems and friendships. In the study, 55 refugee students between 8 and 21 years old enrolled in primary and secondary education participated in a semi-structured interview. Data were analysed with directed qualitative content analysis, whereby codes were created deductively and inductively. Students stressed the importance of schooling in order to prosper in the future, particularly through language acquisition. Peers and bilingual teachers played an important role in their efforts to learn German and develop feelings of belonging in the school system. While language acquisition was important for the students, they indicated that other support measures (i.e., remedial education) were largely absent. Further, half of the students reported bullying experiences (verbal, social and physical) associated with their refugee status, language proficiency and religious affiliation. This study has implications for school professionals. The scope of support refugee students receive at school must be broadened, forced migration should be addressed in school in order to counteract negative effects of bullying students receive due to their refugee status and school connectedness can be promoted by hiring staff from diverse cultural backgrounds.