Zeroing in on leadership effectiveness: The methodological challenges of benchmarking leadership practices

Business success in the 21st century will be based on the widespread mastery of leadership roles, rather than on the directives of a professional or leadership elite. The first step for systematically enacting a leadership development agenda for our nation is to identify the factors, values or qualities most important to leadership effectiveness. Next, we must improve our understanding of how these guiding ideas and insights translate into what successful leaders do. As we perfect this understanding, we will need to operationally define the best practices of successful leaders. These best practices must then become benchmarks for intensive leadership development efforts.This article considers nine methodological challenges of the first agenda item-identification of the factors, values or qualities most important to leadership effectiveness. To illustrate these challenges, the authors use their own business leadership research as a case study. This research surveys 127 chairmen, chief executive officers, and presidents-a cross section of successful U.S.A. business leaders, including men and women from all parts of the nation who have diverse industry, racial, ethnic and religious backgrounds. The authors identify where methodological improvements are needed to cope with the challenges of leadership research. They suggest important directions for methodological development and propose three minimum standards for future leadership research.     

Community,Family, and Race/Ethnic Differences in Health Status in Rural Areas1

Abstract Many race-specific differences in health outcomes that have been observed in previous research have been attributed to class and racebased group differences which either facilitate or constrain health opportunities and behaviors. These include such variables as different rates of poverty, health insurance coverage, and access to medical care. However, these relationships have been inadequately examined in rural communities where minority status may be even more detrimental to health than in urban areas, due to various constraints on access to health care. We present an analysis that assesses the effects of community, family structure, sociodemographic, and medical care variables on self-reported health status among Hispanics, Mrican Americans, and non-Hispanic whites in six rural communities in Florida. Community structural characteristics had a significant effect on self-reported health, as did some of the measures of how respondents “experience” community. These relationships held even when other sets of variables were added to the models. Family/household characteristics and sociodemographic and medical care variables were less important in explaining self-reported health status. These findings suggest that community continues to be important in explaining differences in health status in rural areas.     

An Interdisciplinary Perspective on Disasters and Stress: The Promise of an Ecological Framework

This integrative literature review examines the sources of the persistent debate over the influence of disasters on individual mental health that characterizes the disaster research literature. Using an interdisciplinary approach, this paper highlights how the connections between individuals and the systems in which they are embedded influence people's varied responses to disaster. Consistent with the emerging emphasis in the social sciences on contextualizing individual behavior, this paper examines how family, community, social structural, cultural, and environmental factors affect the development of stress in disaster populations. It concludes with recommendations for policy, practice, and research related to disaster recovery.     

Calculating the total vote where the district magnitude is greater than one: A test of some algorithms using British local election data

Electoral analysis using aggregate data relies on the availability of accurate voting statistics. One vital piece of information, often missing from official electoral returns, particularly British local government elections, is the total number of valid ballot papers. This figure is essential for the calculation of electoral turnout. When voters have a single vote and official information about the number of ballot papers issued is missing, a figure for the total vote can still be derived. However, local elections in Britain frequently use a system of multiple-member wards, where voters have as many votes as there are seats to be filled. In such cases, calculating the total vote and, hence, the turnout does present a real problem. It cannot be assumed that all voters will use their full quota of votes or that voters will cast a ballot in favour of a single party. This paper develops and tests diff erent algorithms for calculating the total vote in such circumstances. We conclude that the accuracy of an algorithm is closely related to the structure of party competition. The findings of this paper have a number of important implications. First, the difficulties in calculating the turnout in multiple-member wards are identified. This will inform the debate about public participation in the local electoral process. Second, the method for deriving a figure for the total vote has an important bearing on a number of other statistics widely employed in electoral analysis.     

Statistical Methods and Graphical Displays for Analyzing How the Association Between Two Qualitative Variables Differs Among Countries, Among Groups, Or Over Time: A Modified Regression-Type Approach

Many interesting sociological questions pertain to how the association between two variables depends on a third variable. In sociological applications, the third variable often pertains to countries, to subgroups of a population, or to time periods. We propose a regression-type approach that specifies that the log-odds- ratios that describe the two-way association of interest are a linear function of latent scores for the third variable. Additive and multiplicative models currently in use by researchers are special cases of the regression-type model. To illustrate the utility of the regression-type approach, we apply this approach to analyze (1) data on occupational mobility in the United States, Britain, and Japan (comparing mobility in these countries) and (2) data on the association between religion and voting behavior in U.S. presidential elections from 1968 to 1992 (comparing this association in the different elections). We also introduce here graphical displays that can be used to obtain worthwhile information about goodness-of-fit and to aid in substantive interpretation.     

Media Technologies, Images of Drugs, and an Evocative Telepresence

I regard electronic media technologies as framing devices for how viewers perceive issues associated with illegal drugs. Controllers of electronic media technologies produce and disseminate images of illegal drugs and users of such drugs to which viewers respond. People who control the images of electronic media production create an evocative telepresence, or a visual context that relies on appeals to authority and emotion. However, viewers do not merely respond to images of illegal drugs; rather, they actively interpret such images and draw their own conclusions. To demonstrate the complex relationship between electronic stimuli and viewer responses, I report on a classroom experiment comparing those who saw and heard a heroin user with those who only heard this user. I also report findings from student perceptions of and reactions to four drug films. Results of the experiment and the readings of films indicate that viewers, especially those who can see and hear electronic displays, are sophisticated consumers who respond to immediate stimuli while making reference to distal stimuli. In the main, I contend that electronic images of illegal drugs and users in an evocative telepresence are powerful stimuli, but they do not cause viewer perceptions.     

Long-term marriages: A critical review

Research guidelines are proposed for the study of long-term marriages based on a critical review of existing studies. Current problems in the collection and analysis of the data include the lack of agreement about the minimum length of a long-term relationship, the failure to make couple comparisons, or to follow samples longitudinally. In addition, the response rate is uniformly low and the variables studied are not consistent. Future research should gather data about couples, not just individuals, and should utilize standardized measures. It is important to begin to build a comprehensive and comparable data base of long-term marital relationships.     

Blacks, whites, and attitudes towards abortion

This article examines patterns of black and white support forabortion from 1972 to 1980. The findings reveal that black-whitedifferences are present on the abortion issue. Many of the differencesare due to the different demographic characteristics of blacksand whites and the greater degree of religiosity of blacks.     

Social and Economic Motivation at Work

Public Organization Review -