Measuring the affective quality of life of university students: The validation of an instrument

The purpose of this study is to develop an instrument for measuring the quality of life of university students, and to report its validity and reliability. The study used a representative sample of undergraduate and graduate students in the faculty of education at a major Canadian university. The construct validity of the scales was assessed by Piazza's technique for the analysis of attitude items. The findings supported conceptualizing the quality of life of university students in four dimensions including Positive Affect, Interaction with Students, Interaction with Professors, and Negative Affect. The alpha reliabilities of these scales ranged from 0.75 to 0.93. Some potential applications of this instrument for understanding educational attainment, as well as for the evaluation of university departments and faculties, are mentioned.     

A Hitchhiker's Guide to caring for an older person before and during coronavirus‐19

Coronavirus‐19 (COVID‐19) has reconfigured working lives with astonishing velocity. Older people have suffered the worst effects of the pandemic, with governments marginalizing or overlooking their needs. Women perform the majority of care for older people, often compromising their working lives and health. Yet in academic articles their voices are often filtered or aggregated in quantitative studies. Based on a weave of personal experiences and secondary research, the article traces a path through UK forms of care and shows how the inadequate response to COVID‐19 stemmed from existing policies embedded in health and social care. COVID‐19 has severed important informal care work, rendering the vulnerable yet more exposed and carers anxious and bereft. Longitudinal research capturing the trajectory of care from the perspective of older people and their carers would lead to improved support hence gender equality.     

Child Poverty Measurement in the UK: Assessing Support for the Downgrading of Income-Based Poverty Measures

Social Indicators Research - In 2016 the UK’s Conservative Government radically changed the official approach to child poverty measurement, scrapping targets for income poverty and material...     

Topics in Microbial Risk Assessment: Dynamic Flow Tree Process

Microbial risk assessment is emerging as a new discipline in risk assessment. A systematic approach to microbial risk assessment is presented that employs data analysis for developing parsimonious models and accounts formally for the variability and uncertainty of model inputs using analysis of variance and Monte Carlo simulation. The purpose of the paper is to raise and examine issues in conducting microbial risk assessments. The enteric pathogen Escherichia coli O157:H7 was selected as an example for this study due to its significance to public health. The framework for our work is consistent with the risk assessment components described by the National Research Council in 1983 (hazard identification; exposure assessment; dose-response assessment; and risk characterization). Exposure assessment focuses on hamburgers, cooked a range of temperatures from rare to well done, the latter typical for fast food restaurants. Features of the model include predictive microbiology components that account for random stochastic growth and death of organisms in hamburger. For dose-response modeling, Shigella data from human feeding studies were used as a surrogate for E. coli O157:H7. Risks were calculated using a threshold model and an alternative nonthreshold model. The 95% probability intervals for risk of illness for product cooked to a given internal temperature spanned five orders of magnitude for these models. The existence of even a small threshold has a dramatic impact on the estimated risk.     

Convergence of Slice Sampler Markov Chains

We analyse theoretical properties of the slice sampler. We find that the algorithm has extremely robust geometric ergodicity properties. For the case of just one auxiliary variable, we demonstrate that the algorithm is stochastically monotone, and we deduce analytic bounds on the total variation distance from stationarity of the method by using Foster–Lyapunov drift condition methodology.     

Time as a limited resource: Communication strategy in mobile phone networks

We used a large database of 9 billion calls from 20 million mobile users to examine the relationships between aggregated time spent on the phone, personal network size, tie strength and the way in which users distributed their limited time across their network (disparity). Compared to those with smaller networks, those with large networks did not devote proportionally more time to communication and had on average weaker ties (as measured by time spent communicating). Further, there were not substantially different levels of disparity between individuals, in that mobile users tend to distribute their time very unevenly across their network, with a large proportion of calls going to a small number of individuals. Together, these results suggest that there are time constraints which limit tie strength in large personal networks, and that even high levels of mobile communication do not fundamentally alter the disparity of time allocation across networks.