A contribution to the study of the metric and Euclidean structures of dissimilarities

This paper is concerned with the geometric properties of dissimilarity coefficients defined on finite sets and especially with their Euclidean nature. We present several particular transformations which preserve Euclideanarity and we complete, through the study of a one-parameter family, the current knowledge of the metric and Euclidean structure of coefficients based on binary data. These results are directly deduced from two theorems which prove the positive semi-definite status of some quadratic forms which play a large role in some definitions of dissimilarity commonly used.The authors wish to thank B. Fichet for his helpful suggestions, the associate Editor and an anonymous reviewer for comments and highly constructive criticisms on earlier drafts of the paper.     

A multiple-level examination of job activities and employee outcomes

Prior research has investigated relationships between job activities and employee outcomes, but multiple levels of analysis considerations often have been overlooked. In a study of a police organization, three theoretical perspectives were examined, and multiple levels of analysis were considered conceptually and empirically, to better specify and test associations between activities and outcomes. Results from Within and Between Analysis (WABA) suggested that relationships between law enforcement and resource control job activitiesand employee outcomes of attention, latitude, and involvement operated at multiple levels of analysis. The associations were based on differences between individuals, work groups, and job-based collectives (job families). Implications for future research and practice are discussed.     

Initial examination of a multidimensional model of trauma-related guilt: Applications to combat veterans and battered women

Guilt is conceptualized as a multidimensional construct consisting of negative affect and a set of interrelated cognitions. Guilt magnitude is thought to be a function of the magnitudes of six variables posited as primary components of guilt: a negative event, distress, perceptions of responsibility, lack of justification, wrongdoing, and false beliefs about preoutcome knowledge. The model was tested with samples of Vietnam veterans and battered women. Participants rated their reactions to and perceived roles in trauma-related events. Among Vietnam veterans, distress ratings were highly correlated with guilt severity. Cognitive guilt-component variables were significantly correlated with guilt in both groups. In multiple regression, guilt components accounted for 61% of variance in veterans' guilt and 44% of variance in women's guilt. Among veterans, distress ratings were highly correlated with measures of PTSD and depression. In both groups, cognitive guilt-component variables were positively correlated with psychopathology. Results support the view that beliefs about one's role in trauma are important factors in posttrauma adjustment.     

An examination of linkages between personal characteristics and dimensions of transformational leadership

Recent research in organizational behavior has found that transformational leadership can engender improved employee work outcomes in many types of organizations. Personal characteristics of transformational leaders, however, have not been thoroughly investigated. This paper reports the findings of a study that explored relationships between personal characteristics and dimensions of transformational leadership using sales managers as the population of interest. Findings suggest that a reconceptualization of the proposed linkages may be necessary. Potential explanations for the results obtained are presented along with managerial and research implications.The authors gratefully acknowledge the host company for its participation in the study.     

The analytical solution of the additive constant problem

Ifd is a measure of dissimilarity on a finite set withn elements, the smallest positive constantc* such thatd +c has an euclidean representation for allc ≥c* is shown to be the largest eigen-value of a matrix of size 2n.