Epidemiology of homicide-suicide events: Oklahoma, 1994-2001

In Oklahoma, all nonnatural deaths must be reported to the Office of the Chief Medical Examiner (ME), whose trained investigators report cause of death using a centralized, statewide, standardized reporting system. The purpose of this study was to determine temporal trends of Oklahoma homicide-suicide events and characterize the epidemiology of these events. By reviewing all ME reports of homicides and suicides from 1994 through 2001, we identified 73 homicide-suicide events resulting in 73 suicides and 89 homicides. Suicidal perpetrators of homicide-suicide events were most often white men aged >or=30 years who killed a current or ex-spouse or intimate partner. Homicide victims tended to be younger women the same race as their killer. Firearms were the predominant method of death in both homicides and suicides, with handguns used most frequently. Divorce/estrangement was the main contributing factor to these events, and the most common relationship type was possessive. The existence of a statewide, centralized, and computerized ME system and the ability to access the detailed information in the ME narratives were critical to identifying homicide-suicide events and obtaining the type of detailed information necessary to fully investigate these events.     

Jail drug and alcohol treatment program reduces recidivism in nonviolent offenders: a longitudinal study of Monroe County, New York's, Jail Treatment Drug and Alcohol Program

Substance abuse treatment has become the new fashion for reducing recidivism among inmates. But the question is, does this work? Various studies have been done tracking the same cohort of inmates over time to assess the validity of treatment. This study assesses one treatment program's success over 5 years to determine if drug and alcohol treatment reduces recidivism among nonviolent, short-term (sentence of less than a year) inmates. Monroe County's drug treatment program demonstrates that for 1 year after receiving the treatment, three different cohorts of nonviolent, short-term inmates (1995, 1998, and 2000) were found to be substantially less likely to be recidivists than control group inmates.     

What's looks got to do with it? Instructor appearance and student evaluations of teaching

Some studies suggest that instructors' looks are important determinants of their Student Evaluations of Teaching (SET) results. Yet the studies examining this proposition leave out many independent variables that have been found to be important determinants of SETs in the SET literature. This study adds in most such factors and finds that, controlling for these other factors, attractiveness has no effect in our data. We conclude that earlier findings indicating that instructor appearance is important are likely due to omitted variable bias. © 2005 by the Association for Public Policy Analysis and Management     

Will working from home become the ‘new normal’ in the public sector?

The COVID-19 pandemic compelled large sections of the workforce out of their workplaces and into their homes to work. Many commentators suggest this has forever changed how and where we work. This article analyses how Australia's biggest employers – state and federal governments – approached the transitions to working from home, and back into regular workplaces. It considers the timing of policy responses to the pandemic as one indicator of resistance to, or acceptance of, widespread working from home. The article also demonstrates previous resistance to working from home for public servants, and questions widespread conjecture that it will become the ‘new normal’.     

Challenges and lessons learnt from a sanitation project in rural Bolivia

The University of Arizona chapter of Engineers Without Borders USA has faced multiple challenges involving community participation in rural development, in the Andean community of Marquirivi, Bolivia, both in rural design and in community participation. Despite successful construction of a shower house in 2014, the EWB-USA UA team experience with community participation revealed the numerous complexities involved in engaging successfully with communities. The importance of previous aid in a community with development projects also emerged as critical in shaping actions. This article discusses lessons learnt and recommendations for rural infrastructure projects, as well as the EWB-USA model of sustainable development.     

Strategic drift in international non‐governmental development organizations—putting strategy in the background of organizational change

Although the use of strategic planning has become widespread in INGDOs they have often been accused of strategic drift—continuous change in their strategic directions with plans only loosely coupled to their activities. However, the way that they prioritize their activities, and the reasons why strategic drift occurs has generally escaped in‐depth research. This article draws on detailed, qualitative research of strategic planning meetings at the executive levels in a major INGDO, carried out between July 2006 and December 2007 to identify the reasons why strategic drift occurs and the role of strategic planning. It was found that by deliberately crafting multiple, ambiguous, and ambitious strategies, managers were able to effect organizational change, not by literal strategy implementation, but by using these strategies as metaphors to harness consensus and legitimacy in key stakeholder groups. Senior managers utilize the symbols, language and deliberative arenas of formal strategic planning to effect organizational change; however, strategy, in rational terms, needs to be located in the background for its role to be properly understood. The research unpacks complex decision‐making processes in an INGDO and, contrary to normative literature, recommends that, in order to avoid inflationary planning, managers should not take their strategy literally. Copyright © 2009 John Wiley & Sons, Ltd.     

Examining the Nature and Significance of Leadership in Government Organizations

Though the mainstream organizational literature has advanced in the last 20 years with the integration of transformational and distributed leadership theories, as well as genuine attempts at comprehensive models, the public sector literature has lagged, especially in utilizing large‐scale empirical studies. This study takes advantage of a very large government data set to test the utility of one of the best known theories, the “full range” leadership theory of Bernard Bass. It addresses three important research questions: How inclusive is Bass’s operational definition of leadership? How much of an impact do Bass’s leadership competencies have on follower satisfaction? Finally, how important is transformational leadership compared to transactional leadership in government settings? The results indicate that Bass’s broad definition of leadership comes quite close to capturing what federal employees perceive to be effective leadership. The relationship between good leadership in an organization and follower satisfaction is also presented as an important outcome in the federal government. Finally, both transactional and transformational leadership are perceived as important in the federal government, although transformational leadership is considered slightly more important even after shifting one important factor, individualized consideration, back to the transactional model.     

How Conditioning on Posttreatment Variables Can Ruin Your Experiment and What to Do about It

In principle, experiments offer a straightforward method for social scientists to accurately estimate causal effects. However, scholars often unwittingly distort treatment effect estimates by conditioning on variables that could be affected by their experimental manipulation. Typical examples include controlling for posttreatment variables in statistical models, eliminating observations based on posttreatment criteria, or subsetting the data based on posttreatment variables. Though these modeling choices are intended to address common problems encountered when conducting experiments, they can bias estimates of causal effects. Moreover, problems associated with conditioning on posttreatment variables remain largely unrecognized in the field, which we show frequently publishes experimental studies using these practices in our discipline's most prestigious journals. We demonstrate the severity of experimental posttreatment bias analytically and document the magnitude of the potential distortions it induces using visualizations and reanalyses of real‐world data. We conclude by providing applied researchers with recommendations for best practice.