Leader behaviors and career derailment potential: A multi-analytic method examination of rating source and self–other agreement

Based on extensive research that views leadership as a multi-faceted phenomenon, we examined how the relationships between task-oriented and relationship-oriented leader behaviors and career derailment potential vary by observer perspective. We present findings using three different analytical techniques: random coefficient modeling (RCM), relative weight analysis (RWA), and polynomial regression (PR). RCM findings suggest that self-, direct report, peer, and supervisor ratings of leader behaviors differ and are associated with career derailment potential. RWA results indicate that self-ratings matter the least, whereas peer ratings of leader behaviors typically matter the most in predicting career derailment potential. PR analyses indicate that career derailment potential is lowest when self-ratings are lower than other ratings of leader behaviors and/or when self–other ratings converge on higher, rather than lower, ratings of leader behaviors. Implications for leadership and self–other agreement research and professional practice are discussed.     

Harassment at the Workplace: A Practical Review of the Laws in the United Kingdom and the United States of America

Harassment is a major deterrent for productivity, loyalty, and commitment to one’s job and organization. Unfortunately, many employees tend to experience various forms of harassment in the workplace. The focus in this article is to understand the extent to which the law protects a person from harassment, first based on the explication and application laws in the United Kingdom. The article then provides comparative discussion of laws and practices against workplace harassment in the United States. A major objective of this article is to help employers and managers become more expert in preventing and correcting harassment.     

Community councils as a medium for public participation: a case study in Grampian region

Planning authorities in Scotland are obliged to consult the public before finalising policies and proposals to be included in their development plans. Community councils are intended to operate as ‘the voice of a neighbourhood’ and this paper analyses an attempt by a regional planning authority to use community councils as a vehicle for consulting the public in the preparation of a structure plan for a rural area. The paper concludes that the attempt was unsuccessful because the community councils were not clear about the role they were expected to play; nor were they adequately prepared for their role. The authors believe, however, that the involvement of community councils has potential for promoting greater public participation in the preparation of development plans.     

Using the EM-algorithm for survival data with incomplete categorical covariates

Incomplete covariate data is a common occurrence in many studies in which the outcome is survival time. With generalized linear models, when the missing covariates are categorical, a useful technique for obtaining parameter estimates is the EM by the method of weights proposed in Ibrahim (1990). In this article, we extend the EM by the method of weights to survival outcomes whose distributions may not fall in the class of generalized linear models. This method requires the estimation of the parameters of the distribution of the covariates. We present a clinical trials example with five covariates, four of which have some missing values.     

Modelling the management of underground water assets

Central to the activities of any industry is the modernization of its assets. This paper describes the application of statistical methods to the asset management plan of a large water company. A model for the underground assets is given in detail, and the extensive computations required are illustrated. A Bayesian model shows the consequences of various policy options and provides realistic measures of the uncertainty connected with them.     

Analysing partial ranks by using smoothed paired comparison methods: an investigation of value orientation in Europe

Summary. This paper introduces the paired comparison model as a suitable approach for the analysis of partially ranked data. For example, the Inglehart index, collected in international social surveys to examine shifts in post-materialistic values, generates such data on a set of attitude items. However, current analysis methods have failed to account for the complex shifts in individual item values, or to incorporate subject covariates. The paired comparison model is thus developed to allow for covariate subject effects at the individual level, and a reparameterization allows the inclusion of smooth non-linear effects of continuous covariates. The Inglehart index collected in the 1993 International Social Science Programme survey is analysed, and complex non-linear changes of item values with age, level of education and religion are identified. The model proposed provides a powerful tool for social scientists.