Neuro Linguistic Programming and Listening Behavior

Neuro Linguistic Programming (NLP) was employed in this study to determine whether its application would enhance the listening skills of subjects. Messages based on NLP were presented to the subjects. The messages that were presented in the auditory format proved to be most persuasive for the recipients. These results supported the recommendations of previous research. Implications for further research are presented.     

Examining the Relationship between Criminal Victimization and Accidents: A Routine Activities Approach*

Gottfredson et Hirschi ont avancé la théorie que la probabilité d'être victime d'un accident est plus élevée chez le criminel que chez le non-criminel. D'autres chercheurs, dont Jensen et Brownfield, ont mis en corrélation activité criminelle et éventualité de subir un accident. En procédant à une sous-analyse de résultats obtenus dans un échantillonnage pancanadien, les auteurs se penchent ici sur les victimes de délit et la probabilité qu'elles soient victimes d'un accident. Le recours à l'analyse de régresssion logistique et aux méthodes de calcul Tobit permettent ensuite aux auteurs de démontrer l'importance de facteurs démographiques et du mode de vie dans le calcul du taux d'accidents et de criminalité. Gottfredson and Hirschi have suggested that criminal offenders are more likely than non-offenders to be involved in accidents. Other researchers, such as Jensen and Brownfield, have identified an association between offending and victimization. Conducting secondary analysis on data from a national Canadian sample, this article investigates the relationship between criminal victimization and accidents. After analysing the data with logistic regression and tobit procedures, the authors point to the importance of demographic and lifestyle characteristics as predictors of both accidents and criminal victimizations.     

The Minimax,the Minimin,and the Hurwicz Adjustment Principle

In this paper the Hurwicz decision rule is applied to an adjustment problem concerning the decision whether a given action should be improved in the light of some knowledge on the states of nature or on other actors' behaviour. In comparison with the minimax and the minimin adjustment principles the general Hurwicz rule reduces to these specific classes whenever the underlying loss function is quadratic and knowledge is given by an ellipsoidal set. In the framework of the adjustment model discussed in this paper Hurwicz's optimism index can be interpreted as a mobility index representing the actor's attitude towards new external information. Examples are given that serve to illustrate the theoretical findings.     

Employer-initiated elections, 1968–1992

In 1968, employers filed 1,091 petitions resulting in 377 elections, 42.4 percent of which unions won. In 1992, the most recent year for which data are available, employers filed 247 petitions, 66 elections were held, and the union victory rate was less than 25 percent. This research examines both the legal environment and the activity levels of employer-initiated (RM) elections over the past 25 years.     

In memoriam Eckart Pankoke (24.6.1939–14.7.2007)

Ohne Zusammenfassung     

Conditional Studentized Survival Tests for Randomly Censored Models

It is shown that in the case of heterogenous censoring distributions Studentized survival tests can be carried out as conditional permutation tests given the order statistics and their censoring status. The result is based on a conditional central limit theorem for permutation statistics. It holds for linear test statistics as well as for sup-statistics. The procedure works under one of the following general circumstances for the two-sample problem: the unbalanced sample size case, highly censored data, certain non-convergent weight functions or under alternatives. For instance, the two-sample log rank test can be carried out asymptotically as a conditional test if the relative amount of uncensored observations vanishes asymptotically as long as the number of uncensored observations becomes infinite. Similar results hold whenever the sample sizes and are unbalanced in the sense that and hold.     

On some properties of bivariate weighted distributions

Let X^w and Y^w be weighted random variables arising from the distribution of (X,Y). We explore implications of independence of X and Y on the dependence structure of (X^w, Y^w). We also show that when X and Y are independent and the weight function is symmetric, identical distribution of X^w and Y^w implies that of X and Y. We discuss application of these results to the study of a renewal process.