The Identification of Leadership in Two Texas Communities: A Replication of the Bonjean Technique

The Bonjean reputational technique of identifying community leaders is employed in two small Texas communities differing vastly in demographic and economic characteristics. The rankings of leaders revealed a highly visible power structure in both communities with few concealed leaders (those ranked higher by key influentials than by lower-ranking influentials) and few symbolic leaders (the opposite ranking pattern). High visibility in vastly dissimilar towns is discussed in terms of (low) magni-complexity (Bonjean) and preponderantly horizontal linkages (Warren) found in small communities; this suggests that the Bonjean technique is a more valuable instrument in larger communities.     

Task analysis of healthcare delivery: A case study

Human error and medical error are highly known as contributors to patient safety [Institute of Medicine (IOM), November 1999. To err is human: building a safer health system. Available at: http://www.nap.edu/openbook/0309068371/html/11.html (accessed 05.03.07); Institute of Medicine (IOM), March 2001. Crossing the quality chasm: a new health system for the 21st century. Available at: http://www.nap.edu/openbook/0309072808/html (accessed 05.03.07); Joint Commission on Accreditation of Healthcare Organizations (JCAHO), 2007. Failure mode, effect, and criticality analysis (FMECA) worksheet. Available at: http://www.jcaho.org (accessed 24.06.07)]. A study was performed to identify the process flow affiliated with elder patients transitioning through different continuums of emergency and non-emergency care. This research is part of a larger research effort to develop and implement a web-based healthcare system that enables hospitals and nursing homes to share patient information resulting in increased knowledge of a patient's medical history, decreased errors and enhanced patient safety. Future research efforts for this study are also presented.     

Market‐Implied Spread for Earthquake CAT Bonds: Financial Implications of Engineering Decisions

In the event of natural and man‐made disasters, owners of large‐scale infrastructure facilities (assets) need contingency plans to effectively restore the operations within the acceptable timescales. Traditionally, the insurance sector provides the coverage against potential losses. However, there are many problems associated with this traditional approach to risk transfer including counterparty risk and litigation. Recently, a number of innovative risk mitigation methods, termed alternative risk transfer (ART) methods, have been introduced to address these problems. One of the most important ART methods is catastrophe (CAT) bonds. The objective of this article is to develop an integrative model that links engineering design parameters with financial indicators including spread and bond rating. The developed framework is based on a four‐step structural loss model and transformed survival model to determine expected excess returns. We illustrate the framework for a seismically designed bridge using two unique CAT bond contracts. The results show a nonlinear relationship between engineering design parameters and market‐implied spread.     

Large‐sample tests of extreme‐value dependence for multivariate copulas

Starting from the characterization of extreme‐value copulas based on max‐stability, large‐sample tests of extreme‐value dependence for multivariate copulas are studied. The two key ingredients of the proposed tests are the empirical copula of the data and a multiplier technique for obtaining approximate p‐values for the derived statistics. The asymptotic validity of the multiplier approach is established, and the finite‐sample performance of a large number of candidate test statistics is studied through extensive Monte Carlo experiments for data sets of dimension two to five. In the bivariate case, the rejection rates of the best versions of the tests are compared with those of the test of Ghoudi et al. (1998) recently revisited by Ben Ghorbal et al. (2009). The proposed procedures are illustrated on bivariate financial data and trivariate geological data. The Canadian Journal of Statistics 39: 703–720; 2011. © 2011 Statistical Society of Canada     

Motivating child welfare case managers: An application and extension of feedback information theory

No empirical studies in the child welfare literature have examined how job characteristics impact work motivation. The present study addresses this conspicuous research gap by surveying 419 county-based child welfare case managers across the state of New York. As predicted by feedback information theory, work motivation was enhanced by instrumental feedback and reduced when job complexity was introduced as a moderator. Consistent with the challenge–hindrance stress model, job control positively influenced job complexity's affects on the instrumental feedback–work motivation relationship. Findings advance the child welfare literature by demonstrating that the motivational effects of instrumental feedback are both conditional and dynamic.     

Survival of related individuals: An extension of some fundamental results of heterogeneity analysis

Many ideas in the analysis of heterogeneous mortality are based on the relationship between individual and observed hazard rates. This connection is established with the help of conditional averaging procedure: The observed risk of death at age x is calculated among those who survive this age. The analogy of this result for bivariate survival model with correlated individual hazards is derived. In the case of correlated frailty model the parametric specification of the mean, variance and correlation coefficient of the bivariate frailty distribution among survivors is obtained. The relationship between local association measure and the characteristics of the bivariate frailty distribution among survivors is established.     

Editorial: Speaking in Tongues—Diversity in Mixed Methods Research

Pre‐testing is a standard tool to increase appropriateness and to capture the audience, yet rarely is this technique employed for population surveys. This study aimed to examine parental views on the content and methodology of a population child health survey. Forty‐eight Australian families of children aged 0–12 years were interviewed about the content and proposed data collection methods of the draft Victorian Population Survey of Child Health and Wellbeing. Concerns with instructions and items of several commonly used child health measures were identified. Parents preferred face‐to‐face methods rather than telephone interviews due to survey legitimacy; however, 72% of parents indicated that they would participate in a telephone survey. This study provided new findings about respondent views on child health measures and the conditions under which CATI versus face‐to‐face methods for child health data collection methods would be acceptable.