The poverty of social control: explaining power in the historical sociology of the welfare state

The concept ‘social control’ has been criticised from a variety of quarters in recent years, particularly by historians and historical sociologists. However, it remains in common usage in sociological studies of welfare, deviance and social control. This paper shows, first, how this reliance on the concept of social control is rooted in a wider-ranging argument in social and political theory concerning the liberal-democratic fusion between the state and civil society, and that the lack of resolution of this argument is the foundation of the persistence of the concept social control in other areas of social inquiry, despite its repeated ‘falsification’. Second, the paper highlights the main arguments against the use of ‘social control’ in explaining social order, in particular the misunderstanding of class, culture and power which its use encourages, and the paper will conclude with a discussion of alternative ways of conceptualising the operation of power in contemporary societies.     

MEANINGFUL REGRESSION AND ASSOCIATION MODELS FOR CLUSTERED ORDINAL DATA

Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, the association structure is often of equal interest—for example, temporal association in longitudinal studies and association between responses to similar questions in a survey. We discuss the use, appropriateness, and interpretability of various latent variable and Markov models for the association structure and propose a new structure that exploits the ordinality of the response. The models are illustrated with a study concerning opinions regarding government spending and an analysis of stability and change in teenage marijuana use over time, where we reveal different behavioral patterns for boys and girls through a comprehensive investigation of individual response profiles.     

Goal Ambiguity and Organizational Performance in U.S. Federal Agencies

In spite of numerous observations that government organizationshave high levels of organizational goal ambiguity that exertmajor influences on their other characteristics, few researchershave measured goal ambiguity and tested these frequent assertions.In previous research, we developed measures of four dimensionsof goal ambiguity: mission comprehension ambiguity, directivegoal ambiguity, evaluative goal ambiguity, and priority goalambiguity. Confirming hypotheses developed from the literatureon public organizations, the latter three variables showed relationsto such organizational characteristics as organizational age,financial publicness (proportion of funding from governmentallocations), and regulatory status. This article reports asecond analytical step of examining the relations between thegoal ambiguity dimensions and indicators of organizational performancebased on responses to the 2000 National Partnership for ReinventingGovernment Survey of federal employees. The performance variablesincluded managerial effectiveness, customer service orientation,productivity, and work quality. Regression analyses with numerouscontrol variables found that directive, evaluative, and prioritygoal ambiguity related negatively to managerial effectiveness.All four performance indicators showed significant negativerelationships with evaluative goal ambiguity and directive goalambiguity. The results provide further evidence of the viabilityof the new measures of goal ambiguity, support theory-basedbut previously untested hypotheses, and further indicate thefeasibility and value of analyzing goal ambiguity of governmentorganizations.     

A LOTTO SYSTEMS PROBLEM

A Lotto Systems bet allows the player to nominate n numbers from which (s)he believes the winning six numbers will be drawn, and to bet on all combinations of six of these n numbers. Assume that the winning six numbers come from the nominated n. How many combinations must be entered to guarantee that one combination will include at least five of the winning six numbers? The problem is generalized in this paper, and the method of simulated annealing is used to find solutions for various situations. The case where two supplementary numbers are drawn after the initial six winning numbers is also considered.     

Buying a Dream: Alternative Models of Demand for Lotto

Existing lotto demand models utilize effective price, computed as the face value of a ticket minus the expected value of prize money per ticket, as their primary explanatory variable. By contrast, this article proposes a key role for consumption benefit or "fun" in the demand for gambling in general and lotto demand in particular. It develops an alternative model of lotto demand that focuses on the maximum possible prize. When this is tested against the traditional model using data from the U.K. National Lottery, we find that jackpot considerations exert an influence over and above that of variations in effective price.     

Drug testing laws and employment injuries

Employer use of employee drugscreening procedures is widespread in the U.S. A state-by-state analysis of statutory law applicable to the drug testing issue is combined with state and industry data to isolate how drug testing laws affect workplace injury rates. Based on our data, injury rates are not statistically related to the state’s legal environment.     

Editor's Introduction: Sex in Research

Qualitative Sociology -