Perceptions of Board Chair Leadership Effectiveness in Nonprofit and Voluntary Sector Organizations

This article reports on the results of a multi-year, multi-phase international quantitative research investigation into perceptions of board chair leadership impact in nonprofit and voluntary organizations in Canada, the United States, and the United Kingdom. Specifically, this research tests four hypotheses and a hypothesized model derived from theoretical perspectives on chair leadership effectiveness that emerged when the results of a prior grounded theory research investigation were reviewed ex post facto through the lens of leadership literature (see Harrison and Murray, NPML, accepted). The purpose of this phase of the research is to determine: (a) whether there is empirical support for the theoretical perspectives advanced; and (b) which perspective offers the best explanation for why some board chairs are perceived as having more impact in the role than others. The results suggest chair leadership effectiveness is best understood as a multi-dimensional theoretical construct explained by more than one leadership theory. The article concludes with a discussion of the findings and directions for further research.     

Evaluating Social Service Agencies: Fuzzy Pictures of Organizational Effectiveness

This article presents a case study of how members of three funding organizations evaluated the same two agencies in Canada. The research on which the article is based sheds light on the organizational effectiveness construct, on the ways in which the evaluators use it to reach conclusions on agency effectiveness, and the relation between these conclusions and funders' decisions on agency funding. The authors describe a framework for understanding evaluation processes, describe three funders in terms of this framework, set out predominant patterns in evaluation processes the funders used, and show the effects of these patterns from the agency's perspective. They then discuss the implications of the findings for agency managers and how the findings relate to theories of organization.     

The interactive effects of political skill and future time perspective on career and community networking behavior

Scholars have suggested that skill (Ferris et al., 2007) and motivation (Forret and Dougherty, 2001) need to be considered in predicting the direction and intensity of networking behaviors. Congruently, the present study argues that skill and motivation operate interactively and assesses the interactive impact of political skill (i.e., the ability to interact effectively with others) and future time perspective on differentially predicting community-based and career-based networking behavior. Results from a sample of managers from a national retail chain (n = 291) indicated that politically skilled individuals who possessed a deep future time perspective were more involved in career-related networking than politically skilled individuals who perceived a shallow future time perspective. Additionally, politically skilled respondents with shallow organizational time perspectives engaged in higher levels of community-based networking than did their counterparts with deeper organizational time perspectives. The implications of these findings are discussed in terms of political skill, social networks, and socioemotional selectivity theory.     

Older women who experience mistreatment:circumstances and outcomes

Data from Virginia Adult Protective Services (APS) case files of 95 abused women aged 60 years and older were assessed to establish demographic trends; ability to care for self; type, pattern, and place of abuse; information on witnesses and alleged offenders; and case resolution and outcomes. The most common types of mistreatment reported were neglect, exploitation, and physical abuse. The women typically had several functional limitations and were dependent upon their family members for care. Most cases were not prosecuted, and the majority of women remain at risk for further abuse. Implications of these data for future research and practice are discussed.     

Poverty in Russia

This article concentrates on poverty debates during the last few years of the Soviet Union under Gorbachev and in Russia today under Yeltsin. Some references to previous years are made in order to provide some historical context for these debates. The article is divided into two parts: the first examines debates on the definitions of poverty, while the second looks at its depth and extent. The discussion will provide one more illustration of the now generally accepted thesis that the way poverty is defined inevitably affects the extent of measured poverty and the policy measures for its amelioration.     

Some bivariate uniform distributions

Bivariate uniform distributions with dependent components are readily derived by distribution function transformations of the components of non-uniform dependent continuous bivariate random variables (X,Y). Contour plots of joint density functions show the various, and varying, forms of dependence which can arise from different distributional forms for (X,Y) and aids the choice of bivariate uniform distributions as empirical models.     

Best linear unbiased estimates in ranked-set sampling with particular reference to imperfect ordering

SUMMARY Ranked-set sampling is a widely used sampling procedure when sample observations are expensive or difficult to obtain. It departs from simple random sampling by seeking to spread the observations in the sample widely over the distribution or population. This is achieved by ranking methods which may need to employ concomitant information. The ranked-set sample mean is known to be more efficient than the corresponding simple random sample mean. Instead of the ranked-set sample mean, this paper considers the corresponding optimal estimator: the ranked-set best linear unbiased estimator. This is shown to be more efficient, even for normal data, but particularly for skew data, such as from an exponential distribution. The corresponding forms of the estimators are quite distinct from the ranked-set sample mean. Improvement holds where the ordering is perfect or imperfect, with this prospect of improper ordering being explored through the use of concomitants. In addition, the corresponding optimal linear estimator of a scale parameter is also discussed. The results are applied to a biological problem that involves the estimation of root weights for experimental plants, where the expense of measurement implies the need to minimize the number of observations taken.