The Handbook of Community Practice

Do not let the title of this volume fool you! ‘The Handbookof Community Practice’ is not something that fits intoa purse or back pocket. It is in fact, a tome: an encyclopedicsurvey of a powerful, but often submerged tradition within thefield of social work. To many US Americans, social work has two primary (and contradictory)images. On the one hand, there is the good     

A comparison of various approaches to the exponential random graph model: A reanalysis of 102 student networks in school classes

This paper describes an empirical comparison of four specifications of the exponential family of random graph models (ERGM), distinguished by model specification (dyadic independence, Markov, partial conditional dependence) and, for the Markov model, by estimation method (Maximum Pseudolikelihood, Maximum Likelihood). This was done by reanalyzing 102 student networks in 57 junior high school classes. At the level of all classes combined, earlier substantive conclusions were supported by all specifications. However, the different specifications led to different conclusions for individual classes. PL produced unreliable estimates (when ML is regarded as the standard) and had more convergence problems than ML. Furthermore, the estimates of covariate effects were affected considerably by controlling for network structure, although the precise specification of the structural part (Markov or partial conditional dependence) mattered less.     

Settings in Social Networks: A Measurement Model

A class of statistical models is proposed that aims to recover latent settings structures in social networks. Settings may be regarded as clusters of vertices. The measurement model is based on two assumptions. (1) The observed network is generated by hierarchically nested latent transitive structures, expressed by ultrametrics, and (2) the expected tie strength decreases with ultrametric distance. The approach could be described as model–based clustering with an ultrametric space as the underlying metric to capture the dependence in the observations. Bayesian methods as well as maximum–likelihood methods are applied for statistical inference. Both approaches are implemented using Markov chain Monte Carlo methods.     

Disabled people's self-organisation: a new social movement?

This article will examine the ways in which disabled people, world-wide but especially in the USA and Britain, have emerged as a coherent political force in the last 20 years. Furthermore, in looking at disability from the perspective afforded by new social movement arguments, I wish to explore the implications of this development: the fact that disabled people in the 1990s are 'doing it for themselves', and to develop comparisons between the disabled people's movement and the movements of black people, women, and gays and lesbians, for autonomy, recognition and resources. I will suggest that new social movement theory, while useful in the analysis of environmentalism, post-materialism, and some varieties of nationalism, cannot fully grasp the essence of liberation politics.     

Evaluating organizational-level work stress interventions: Beyond traditional methods

Since the early 1990s, there has been a growing literature on organizational-level interventions for work-related stress, and associated calls for such interventions to be evaluated. At the same time, doubts have been expressed about the adequacy of traditional scientific research methods in applied psychology (the natural science paradigm) in providing an effective framework for such evaluations. This paper considers some of the philosophical and methodological issues raised by evaluation research in relation to organizational-level interventions for work-related stress. Four key issues are discussed: the concept of a study being “fit for purpose” in relation to research designs and the nature of acceptable evidence; the issue of control of research conditions in real-world studies; the need to evaluate process as well as outcome, including the interrelated nature of process and outcome; and the interpretation of imperfect evidence sets. The starting point of this paper is the reality of organizational life, which is complex and continually changing. Its main objective is not to offer an alternative to a scientific approach but to argue for a more broadly conceived and eclectic framework for evaluation that acknowledges the limitations of the traditional approach. It espouses an approach that is reflective of the reality of organizational life and in which the methods used for evaluating an intervention are fit for purpose. The paper concludes by offering an outline framework for this broader approach to the evaluation of interventions.