Evaluation of Measurement Comparisons Using Generalized Least Squares: the Role of Participants’ Estimates of Systematic Error

We consider the evaluation of laboratory practice through the comparison of measurements made by participating metrology laboratories when the measurement procedures are considered to have both fixed effects (the residual error due to unrecognised sources of error) and random effects (drawn from a distribution of known variance after correction for all known systematic errors). We show that, when estimating the participant fixed effects, the random effects described can be ignored. We also derive the adjustment to the variance estimates of the participant fixed effects due to these random effects.     

Beyond the Activist Ghetto: A Deductive Blockmodelling Approach to Understanding the Relationship between Contact with Environmental Organisations and Public Attitudes and Behaviour

Current research on the behavioural impacts of social movements tends to focus on their influence on those most intensely involved. Consequently it overlooks the impacts that social movement organisations might have on those outside the activist ghetto. To begin to address this gap in the literature, this article examines the relationship between contact with environmental organisations and public attitudes and behaviour. Monitoring the electricity use of 72 households has facilitated analysis of its association with their environmental attitudes and contact with environmental organisations. Although standard statistical approaches fail to uncover a relationship between contact with environmental organisations and attitudes and behaviour, a deductive blockmodelling approach tells a different story. Low household electricity use is associated with households sharing pro-environmental attitudes and contact with environmental organisations. High energy use is associated with households not sharing any of these; and moderate energy use is associated with a moderate degree of sharing. Our findings reveal the need for systematic studies of environmental movement organisations' impact on the public's pro-environmental behaviours.     

Teaching examples for the design of experiments: geographical sensitivity and the self‐fulfilling prophecy

Many scientists believe that small experiments, guided by scientific intuition, are simpler and more efficient than design of experiments. This belief is strong and persists even in the face of data demonstrating that it is clearly wrong. In this paper, we present two powerful teaching examples illustrating the dangers of small experiments guided by scientific intuition. We describe two, simple, two‐dimensional spaces. These two spaces give rise to, and at the same time appear to generate supporting data for, scientific intuitions that are deeply flawed or wholly incorrect. We find these spaces useful in unfreezing scientific thinking and challenging the misplaced confidence in scientific intuition. Copyright © 2015 John Wiley & Sons, Ltd.     

After Atos Healthcare: is the Employment and Support Allowance fit for purpose and does the Work Capability Assessment have a future?

In June 2014 the BBC reported that it had seen a number of UK Department for Work and Pensions documents relating to the Employment and Support Allowance (ESA). These documents, which included six memos written by civil servants and government advisers, tell us very little that we did not know already; namely that the ESA is in crisis, and that waiting lists for assessment and appeals are unacceptable. However, what is significant is that these concerns are being raised within the Department for Work and Pensions itself. The underlying drift is that the question of whether the current model of ESA and Work Capability Assessment is sustainable is now firmly on the UK government’s radar.     

Perspectives of Young People in Care About their School-to-Work Transition

Abstract

Achieving in education and employment has long-term effects on quality of life. With below-average levels of educational attainment, many young people in care are ill-equipped for the transition from school to further education and work. This paper presents findings from a qualitative study that explored the school to work transition experiences of young people currently or previously in care, and their ideas about future employment. A range of personal and contextual factors that influence study and work goals were identified. Young people spoke about the importance of personal confidence and determination, supportive relationships, someone to believe in them and encourage them, opportunities to pursue their goals, avenues to gain information about how to get desired jobs, positive school experiences, and the need for stability in their lives. The study suggests widening the agenda for case planning, transition from care and after-care support, to include career planning and vocational assistance.     

A comparison of the NZDep and New Zealand IMD indexes of socioeconomic deprivation

ABSTRACT

The aims of this study were to compare the NZ Indices of Multiple Deprivation (IMD) with the NZDep index of socioeconomic deprivation in terms of their: (1) theoretical and methodological approaches; (2) use of small areas; (3) rankings of small areas; and (4) relationships with various health and social outcomes. Literature sources were reviewed for aim 1. The data sources for aims 2–4, all contained within Statistics New Zealand’s Integrated Data Infrastructure, were: (1) 2013 Census, (2) health data sets, (3) Police database, and (4) 2014 General Social Survey. Outcomes were smoking, mortality, respiratory disease, crime, self-assessed health status. Spearman’s rho was used as a measure of correlation. Deciles were treated as categorical in the stepwise logistic regressions. The key finding is that there is a range of theoretical and methodological differences between the indexes. Despite these differences, the indexes behave in a similar, but not identical, manner in their ranking of small areas and in their associations with health and social outcomes. In conclusion, for practical purposes for many applications the two indexes give similar results when analysing very large data sets, although there are some important caveats related to this conclusion for both large and small data sets.