Warriors in the “new world order”

He writes regularly on matters of strategy. His publications include The Strategic Dimension of Military Manpower;and Paradoxes of Power: The Military Establishment in the Eighties.     

Dimensions of the self-concept: A source of further distinctions in the nature of self-consciousness

This study distinguished between forms of self-consciousness (private self-consciousness and social anxiety) and investigated the effect of self-esteem, vulnerability to criticism, and the tendency to fantasize on each. Utilizing a sample of adolescents (age 12 to 19 years), a structural equation analysis using unobserved variables revealed that, as expected, vulnerability to others' criticism heightened both private self-consciousness and social anxiety. In contrast, the tendency to fantasize in everyday life increased only private self-consciousness, and low self-esteem led directly only to increased social anxiety. Further, results showed that self-esteem had an appreciable indirect effect on both private self-consciousness and social anxiety, as mediated by vulnerability and the tendency to fantasize, indicating that the effect of self-esteem (a primary motivator) was more complex than an analysis of direct effects would indicate. Implications for our understanding of self-consciousness and the self-concept are discussed.My deepest thanks go to Morris Rosenberg, whose insights into the self-concept were indispensable, both in conceptualization and in analysis. I also thank John A. Fleishman and Edward Z. Dager for their constructive comments on early drafts of this article. Any errors remaining are my responsibility.This study was supported by NIMH Grant R01 MH27747-06 awarded to Morris Rosenberg. The data were analyzed using the facilities of the Computer Science Center, University of Maryland, College Park.Professor Elliott received his Ph.D. in sociology at the University of Wisconsin, Madison. His current major interest is in the structure of the self-concept.     

Estimating Dynamic Panel Data Models in Political Science

Panel data are a very valuable resource for finding empiricalsolutions to political science puzzles. Yet numerous publishedstudies in political science that use panel data to estimatemodels with dynamics have failed to take into account importantestimation issues, which calls into question the inferenceswe can make from these analyses. The failure to account explicitlyfor unobserved individual effects in dynamic panel data inducesbias and inconsistency in cross-sectional estimators. The purposeof this paper is to review dynamic panel data estimators thateliminate these problems. I first show how the problems withcross-sectional estimators arise in dynamic models for paneldata. I then show how to correct for these problems using generalizedmethod of moments estimators. Finally, I demonstrate the usefulnessof these methods with replications of analyses in the debateover the dynamics of party identification.     

Collaboration and Leadership for Effective Emergency Management

Collaboration is a necessary foundation for dealing with both natural and technological hazards and disasters and the consequences of terrorism. This analysis describes the structure of the American emergency management system, the charts development of the Federal Emergency Management Agency, and identifies conflicts arising from the creation of the Department of Homeland Security and the attempt to impose a command and control system on a very collaborative organizational culture in a very collaborative sociopolitical and legal context. The importance of collaboration is stressed, and recommendations are offered on how to improve the amount and value of collaborative activities. New leadership strategies are recommended that derive their power from effective strategies and the transformational power of a compelling vision, rather than from hierarchy, rank, or standard operating procedures.     

Who Wants to Work for the Government?

In an era when everyone wants to be a millionaire, governments struggle to attract and retain highly qualified employees, making it more important than ever to understand what attracts people to the public service. Using contingency table analysis and logistic regression on the 1989 and 1998 General Social Surveys, we explore how individuals' demographic characteristics and the importance they place on various job qualities influence their preference for and employment in the public sector. Job security may still be the strongest attraction of government jobs, but high income and the opportunity to be useful to society also attract some Americans to the public service. Minorities, veterans, Democrats, and older Americans preferred public-sector jobs more than whites, nonveterans, Republicans, and younger Americans, who were otherwise similar. Women and college graduates were more likely than comparable men and less-educated respondents to have government jobs, but no more likely to prefer them. Overall, desire for government jobs declined markedly between 1989 and 1998.     

Reducing violence in serious juvenile offenders using intensive treatment

This study reports on the reduction in violent offending in a population of serious and violent juvenile offenders following an intensive institutional treatment program. The treatment group (N=101) is compared to a similar group that was assessed but not treated (N=147). All youth were sent to the program from a juvenile corrections institution where they had received the customary rehabilitation services. The results show a significant reduction in the prevalence of recidivism in the treated group after controlling for time at risk in the community and other covariates. The effects of non-random group assignment were reduced by including a propensity score analysis procedure in the outcome analysis. Untreated comparison youth appeared to be about twice as likely to commit violent offenses as were treated youth (44% vs. 23%). Similarly, treated youth had significantly lower hazard ratios for recidivism in the in the community than the comparison youth, even after accounting for the effects of non-random group assignment.