Postmodern feminism: a theoretical framework for a field unit with women in jail

This article presents a postmodern, feminist framework as a foundation for a social work student field unit with women inmates in the corrections system. Feminist pedagogical methods were developed and implemented for this field unit and, once trained, the students utilized feminist social work skills within the jail environment. The case study illustrates the field unit design, student learning processes, and examples of student interventions. In addition to becoming skillful clinicians, student interns became social change agents within the corrections system. Implications for micro, meso, and macro levels of social work practice are discussed.     

Mein Weg zur Gruppendynamik

Zusammenfassung Als Nestor der Gruppendynamiker in Deutschland schildert der Autor seinen gruppenbezogenen Lebensweg, angefangen bei Dispositionen in Elternhaus und Schule, über Erfahrungen als Schweizer Jugendführer und Deutscher Fliegeroffizier bis hin zur Etablierung institutionalisierter Gruppendynamik, die der Ausbildung eines Trainerkontingents und entsprechender Forschung diente.

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Considered to be the „Nestor“ of group dynamic experts in Germany, the author relates his group-related biography. This begins with the nature of his childhood at home and at school and moves on to the experiences made as a Swiss youth leader and German flight officer. The establishment of institutionalized group dynamics led to the training of a number of apecialized trainers serving the interests of relevant resaearch.

     

Can Target Costing and Whole Life Costing be Applied in the Construction Industry?: Evidence from Two Case Studies

Building on the results of a far‐reaching action research project we discuss an attempt to introduce target costing in the UK construction industry. After examining some of the issues facing the UK construction industry, we examine the case for using target costing as a way of supporting supply‐chain integration in view of an improvement of the level of profitability and quality of the industry. After presenting evidence from two pilot projects we propose some considerations on target costing and its applicability to the UK construction sector and derive directions for future research.     

THE EQUALITY MULTIPLIER: HOW WAGE COMPRESSION AND WELFARE EMPOWERMENT INTERACT

We explore how more wage equality fuels the generosity of the welfare state via political competition in elections, and how a more generous welfare state fuels wage equality via empowerment of weak groups in the labor market. Together the two mechanisms may generate a cumulative process that explains how equality multiplies, and why countries with more equal distributions of market outcomes also have stronger welfare states. The complementarity between wage setting and welfare spending can explain why almost equally rich countries differ so much in economic and social equality among their citizens. (JEL: H53, I31, J31)     

A note on determinants of household saving behavior

By using cross-sectional interview data form 429 randomly selected households, four different saving estimates, namely reported bank savings, repayments of debts, total savings and a liquidity estimate, are computed and analyzed separately. Both socioeconomic characteristics and “softer” variables, such as attitudes and expectations, are used as explanatory variables.In a regression analysis the predictors used, fail to explain bank savings, while the traditional socioeconomic variables are found to influence the debt measure. The behavioral predictors are more successful in explaining the liquidity measure. When the regression result with the liquidity measure as the dependant variable (with the highest R² value) is decomposed using a hypothetical causal model and path analysis, it appears that the effects of household income and educational level of the family head are substantial. However, the intervening behavioral variables are still significant.     

Multi-professional vocational rehabilitation group meetings with female clients: a qualitative study

Many women require vocational rehabilitation before they can return to work. The objective with the present study was to describe female clients' situation during the rehabilitation process, as it became apparent during the rehabilitation meetings with the various actors involved. The clients' diagnoses varied, but the majority was affected with musculoskeletal disorders. The meetings were audio-taped and transcribed verbatim, after which they were analysed by qualitative content analysis. The following themes emerged: Adaptation to the rehabilitation group; client's health status; the workplace's significance for rehabilitation; and the client's decision-point. Conflict between health and work was immensely important for rehabilitation. Differences in attitude were apparent during the rehabilitation meetings, as some clients were passive and exercised less influence on the planning, than the other more active clients did.     

Finite mixtures of quantile and M-quantile regression models

In this paper we define a finite mixture of quantile and M-quantile regression models for heterogeneous and /or for dependent/clustered data. Components of the finite mixture represent clusters of individuals with homogeneous values of model parameters. For its flexibility and ease of estimation, the proposed approaches can be extended to random coefficients with a higher dimension than the simple random intercept case. Estimation of model parameters is obtained through maximum likelihood, by implementing an EM-type algorithm. The standard error estimates for model parameters are obtained using the inverse of the observed information matrix, derived through the Oakes (J R Stat Soc Ser B 61:479–482, 1999) formula in the M-quantile setting, and through nonparametric bootstrap in the quantile case. We present a large scale simulation study to analyse the practical behaviour of the proposed model and to evaluate the empirical performance of the proposed standard error estimates for model parameters. We considered a variety of empirical settings in both the random intercept and the random coefficient case. The proposed modelling approaches are also applied to two well-known datasets which give further insights on their empirical behaviour.     

Random coefficient models for binary longitudinal responses with attrition

We extend the approach introduced by Aitkin and Alfò (1998, Statistics and Computing, 4, pp. 289–307) to the general framework of random coefficient models and propose a class of conditional models to deal with binary longitudinal responses, including unknown sources of heterogeneity in the regression parameters as well as serial dependence of Markovian form.Furthermore, we discuss the extension of the proposed approach to the analysis of informative drop-outs, which represent a central problem in longitudinal studies, and define, as suggested by Follmann and Wu (1995, Biometrics, 51, pp. 151–168), a conditional specification of the full shared parameter model for the primary response and the missingness indicator. The model is applied to a dataset from a methadone maintenance treatment programme held in Sydney in 1986 and previously analysed by Chan et al. (1998, Australian & New Zealand Journal of Statistics, 40, pp. 1–10).All of the proposed models are estimated by means of an EM algorithm for nonparametric maximum likelihood, without assuming any specific parametric distribution for the random coefficients and for the drop-out process.A small scale simulation work is described to explore the behaviour of the extended approach in a number of different situations where informative drop-outs are present.