Investigating the effects of physical and cognitive demands on the quality of performance under different pacing levels

The study was undertaken to investigate the effects of pacing on aspects of performance at an assembly task and on the operators' responses related to work behaviour, perceived workload and perceived stress. A particular objective of the study was to investigate whether physical and cognitive demands may interact in their influences on these effects. An assembly task was simulated in the laboratory and the level of pacing imposed, work height and memory load within the task were all varied. The results showed that the type of pacing commonly imposed (as is common with a lean manufacturing Takt time system in industry) can significantly affect both performance and perceived workload and stress. Physical demands (through work height affecting posture) and mental demand (through memory load) were also found to have significant effects, as would be expected from the many studies of these in the literature. More importantly, some interactions were found between pacing and work height in their effects on quality of assembly and the operator's own rating of performance, and between work height and memory load in their effects on errors. These findings will need to be taken into account by companies when implementing Takt time systems.     

Ross B., Segal C., (2021) Making the Ask: The Artful Science of High-Value Fundraising. Practical Inspiration Publishing

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Policy Science and Social Policy

This paper briefly traces the evolution of the policy sciences. It views policy science as a technical policy development discipline. The impediments to successful integration of policy science content into social policy curriculum are analyzed and suggestions to improve utilization are made. The paper suggests that critical analysis and constructive utilization of the techniques of the policy sciences will evolve once social workers develop technical skills. It also recommends that schools of social work teach policy as a method. It goes on to articulate curriculum recommendations necessary for the effective teaching of social policy as a method.     

Democratically Elected Aristocracies

The article suggests a formal model of a two-tier voting procedure, which unlike traditional voting systems does not presuppose that every vote counts the same. In deciding a particular issue voters are called in the first round to assign categories of their fellow-citizens with differential voting power (or weights) according to the special position or concern individuals are perceived to have with regard to that issue. In the second stage, voters vote on the issue itself according to their substantive view and their votes are counted in the light of the differential weights assigned in the first round. We analyze formal and philosophical reasons that support the model.     

Dependence Estimation for Marginal Models of Multivariate Survival Data

We have previously(Segal and Neuhaus, 1993) devised methods for obtaining marginal regression coefficients and associated variance estimates for multivariate survival data, using a synthesis of the Poisson regression formulation for univariate censored survival analysis and generalized estimating equations (GEE's). The method is parametric in that a baseline survival distribution is specified. Analogous semiparametric models, with unspecified baseline survival, have also been developed (Wei, Lin and Weissfeld, 1989; Lin, 1994).Common to both these approaches is the provision of robust variances for the regression parameters. However, none of this work has addressed the more difficult area of dependence estimation. While GEE approaches ostensibly provide such estimates, we show that there are problems adopting these with multivariate survival data. Further, we demonstrate that these problems can affect estimation of the regression coefficients themselves. An alternate, ad hoc approach to dependence estimation, based on design effects, is proposed and evaluated via simulation and illustrative examples. This revised version was published online in July 2006 with corrections to the Cover Date.     

The mental health status of Latino children in the public child welfare system: a look at the role of generation and origin

As the number of Latino children in public child welfare continues to grow, it is necessary to understand how their mental health is faring. The paper examines emotional and behavioural needs among Latino children who had contact with the public child welfare system. The purpose of this longitudinal study was twofold: to examine the severity of emotional and behavioural problems, and to assess the predictive role of generation status and Latino origin. Latent growth models were completed using the National Survey on Children and Adolescent Well‐Being. The predictive model for the externalizing CBCL scale revealed that generation status and Latino origin were significant predictors. At baseline, Puerto Rican children exhibited higher rates of externalizing problems compared with Mexican children. Over time children who were first/second generation tended to have lower scores compared with the third‐plus generation children. Implications for practise are discussed.