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.     

Geographic information systems, spatial network analysis, and contraceptive choice

How does family planning accessibility affect contraceptive choice? In this paper we use techniques of spatial analysis to develop measures of family planning accessibility, and evaluate the effects of these geographically derived measures in a multilevel statistical model of temporary method choice in Nang Rong, Thailand. In our analyses we combine spatial data obtained from maps and Global Positioning System (GPS) readings with sociodemographic data from surveys and administrative records. The new measures reveal (1) important travel time effects even when family planning outlets are close by; (2) independent effects of road composition; (3) the relevance of alternative sources of family planning supply; and (4) the importance of the local history of program placement.     

Globalisation and the Politics of Persuasion and Coercion

This paper argues that an economic liberal discourse of globalisation has been pivotal to the policy‐making process in Australia over the past 15 or so years. Both Labor and Coalition Governments have aimed to restrict the electoral fall‐out from the process of restructuring by persuading Australians that the world economy has forced particular policy changes and made alternative economic policy choices unviable. Policy‐makers act to influence conceptions of the appropriate role and responsibilities of the state through persuasion – the rhetoric they speak – and coercion – the policies they make. The pervasiveness of globalisation rhetoric in the public sphere has been essential to the governing process as a complement to and buffer for the coercive impact of economic liberal policy changes. As Australia has shifted from a protectionist to an economically liberal policy structure, the effects of globalisation have become clearer. Liberalisation has intensified pressures from the world political economy and coerced changes in all areas of policy and the economy, as well as in public perceptions about the ‘limits of government’. Globalisation and economic liberalism as persuasion and coercion are the component parts of a restructured system of political and economic governance: a paradigmatic shift away from the economic protectionism of the first 80 years of Australian federalism.     

The militarization of Native America: Historical process and cultural perception

Native Americans have experienced widespread militarization as the result of a number of factors. First, many Mative nations militarized in reaction to the weaponry and threats presented by invading Europeans. Secondly, the Europeans and later the Americans used Native Americans as auxiliaries and allies in their wars against other Native nations. Finally, militarization came to several tribes by way of the U.S. policy of assimilating American Indians into mainstream American society. Militarization, in short, became a way of legitimating Native citizenship. Many Indians, however, look upon their military service in a different way. Native American militarization resembles that of the Nepalese Gurkha veterans of the British Army.     

Small area estimation under random regression coefficient models

Statistical agencies are interested to report precise estimates of linear parameters from small areas. This goal can be achieved by using model-based inference. In this sense, random regression coefficient models provide a flexible way of modelling the relationship between the target and the auxiliary variables. Because of this, empirical best linear unbiased predictor (EBLUP) estimates based on these models are introduced. A closed-formula procedure to estimate the mean-squared error of the EBLUP estimators is also given and empirically studied. Results of several simulation studies are reported as well as an application to the estimation of household normalized net annual incomes in the Spanish Living Conditions Survey.     

Self-weighted recursive estimation of GARCH models

The generalized autoregressive conditional heteroscedasticity (GARCH) processes are frequently used to investigate and model financial returns. They are routinely estimated by computationally complex off-line estimation methods, for example, by the conditional maximum likelihood procedure. However, in many empirical applications (especially in the context of high-frequency financial data), it seems necessary to apply numerically more effective techniques to calibrate and monitor such models. The aims of this contribution are: (i) to review the previously introduced recursive estimation algorithms and to derive self-weighted alternatives applying general recursive identification instruments, and (ii) to examine these methods by means of simulations and an empirical application.