The Problems with Social Indicators

Researchers often use social indicators in their analysis of community problems and the subsequent proposals. However these researchers rarely consider the constraints placed on these indicators by construction and measurement problems. Some of these indicators are reviewed with particular reference to conceptualization of social phenomena and the intrusion of values. In the latter regard comment is made on the use of social indicators by political decision makers and policy planners.     

Beyond anonymity: temporality and the production of knowledge in a qualitative longitudinal study

Anonymisation processes are an embedded, if contested, element of ethical research practice. Current debates, highlighting various challenges to anonymity, suggest the importance of situated ethics and negotiated solutions. However, the strategies adopted are necessarily mediated by the researcher’s epistemological positions. Longitudinal studies with their extended timeframes and intensive research relationships tend to amplify ethical dilemmas and highlight the contingency and fluidity of ethical processes. Here we explore how temporality intersects with epistemology in a qualitative longitudinal (QL) study of organisations located in a contemporary policy context. We reflect on the confidentiality and anonymity dilemmas that develop and change over time, the strategies adopted and the implications of these for the type of knowledge produced. We suggest that QL studies entail flexibility within epistemological frameworks. These issues have particular resonance and consequences for researchers in light of contemporary pressures around public scrutiny of academic performance and wider debates around public sociology.     

What Do Urban Black Mothers Tell Their Adolescents About Alcohol and Other Drugs?

This study utilized qualitative content analysis to examine messages conveyed about alcohol and other drugs by urban Black mothers (N = 130) with a personal, familial, or personal and familial history of problematic substance use to younger and older adolescents (M = 15.2 years). Data from a two‐cohort longitudinal sample revealed considerable similarity in themes across the younger and older cohorts. Results suggest Black mothers offer more messages of information and advice to younger adolescents, while communicating directives related to use to older adolescents.     

Children and safety in Australian policy: Implications for organisations and practitioners

Child safety is now a national policy priority in Australia. Extensive enquiries and reviews have escalated legislative and policy responses focused on developing, maintaining and monitoring “child safe” organisations. The recommendations of the Royal Commission into Institutional Responses to Child Sexual Abuse point to the importance of cultural conditions within organisations in supporting child safety and the need for responsive change in some organisations. Drawing on a recent policy analysis, undertaken as part of a larger Australian Research Council Discovery Project, this article examines how children and safety are constructed, within and across relevant state and federal government policies in Australia, and the implications of this. Distinctions are drawn between conceptualisations of children within the broader education policy context and two specific policy contexts in which children are considered particularly vulnerable to abuse – out‐of‐home care and disability. The findings indicate that policy discourses of “child safe” potentially foster different emphases and approaches in organisations. These have implications for the way children are positioned in relation to their safety, how their rights are recognised and implemented, and what is required to foster cultural conditions within organisations to best support children’s safety and wellbeing.     

Academic mothers,professional identity and COVID-19: Feminist reflections on career cycles,progression and practice

Based on a collection of auto-ethnographic narratives that reflect our experiences as academic mothers at an Australian university, this paper seeks to illustrate the impact of COVID-19 on our career cycles in order to explore alternative feminist models of progression and practice in Higher Education. Collectively, we span multiple disciplines, parenting profiles, and racial/ethnic backgrounds. Our narratives (initiated in 2019) explicate four focal points in our careers as a foundation for analyzing self-definitions of professional identity: pre- and post-maternity career break; and pre- and post-COVID-19 career. We have modeled this research on a collective feminist research practice that is generative and empowering in terms of self-reflective models of collaborative research. Considering this practice and these narratives, we argue for a de-centering of masculinized career cycle patterns and progression pathways both now and beyond COVID-19. This represents both a challenge to neo-liberal norms of academic productivity, as well as a call to radically enhance institutional gender equality policies and practice.     

Efficient computation of nonparametric survival functions via a hierarchical mixture formulation

We propose a new algorithm for computing the maximum likelihood estimate of a nonparametric survival function for interval-censored data, by extending the recently-proposed constrained Newton method in a hierarchical fashion. The new algorithm makes use of the fact that a mixture distribution can be recursively written as a mixture of mixtures, and takes a divide-and-conquer approach to break down a large-scale constrained optimization problem into many small-scale ones, which can be solved rapidly. During the course of optimization, the new algorithm, which we call the hierarchical constrained Newton method, can efficiently reallocate the probability mass, both locally and globally, among potential support intervals. Its convergence is theoretically established based on an equilibrium analysis. Numerical study results suggest that the new algorithm is the best choice for data sets of any size and for solutions with any number of support intervals.     

Stochastic models of geriatric patient bed occupancy behaviour

This paper considers a census approach to the modelling of the time that geriatric patients spend in hospital and subsequently in the community by using a stochastic compartmental Markov model. A selection process is developed using maximum likelihood estimation to fit the model to daily census data on the duration spent in the hospital or the community. Census data are used as they are easy to collect and therefore maximize the usability of the model. The model is fitted to an extensive 16-year data-set and shown to provide realistic estimates of movements of patients by using only a single day's census result.     

Climate Change Beliefs and Perceptions of Weather‐Related Changes in the United Kingdom

Public perception research in different countries has suggested that real and perceived periods of high temperature strengthen people's climate change beliefs. Such findings raise questions about the climate change beliefs of people in regions with moderate climates. Relatively little is known about whether public concerns about climate change may also be associated with perceived changes in other weather‐related events, such as precipitation or flooding. We examine the relationship between perceived changes in weather‐related events and climate change beliefs among U.K. residents at a time of below‐average winter temperatures and recent flooding. National survey data (n = 1,848) revealed that heat waves and hot summers were perceived to have become less common during respondents’ lifetimes, while flooding, periods of heavy rainfall, coastal erosions, and mild winters were perceived to have increased in frequency and cold winters were perceived to be unchanged. Although perceived changes in hot‐weather‐related events were positively associated with climate change beliefs, perceived changes in wet‐weather‐related events were found to be an even stronger predictor. Self‐reported experience of “flooding in own area” and “heat‐wave discomfort” also significantly contributed to climate change beliefs. These findings highlight the importance of salient weather‐related events and experiences in the formation of beliefs about climate change. We link our findings to research in judgment and decision making, and propose that those wishing to engage with the public on the issue of climate change should not limit their focus to heat.     

The contribution of measurement and information infrastructure to TQM success

There is currently some debate about which TQM practices contribute most to superior performance outcomes. Several proponents argue that softer TQM practices such as leadership, human resource management, and customer focus have more impact than benchmarking, process analysis or performance measurement. The evidence for which TQM factors contribute most to improved performance is not yet conclusive, and sometimes contradictory. Using data from a longitudinal study of 67 TQM firms we contribute to this debate. Our central hypothesis is that measurement of key TQM practices and performance outcomes is essential for TQM success. We examine the measurement practices of this cohort of firms, and report on the changes in their measurement behavior over time. Specifically, we analyze seven dimensions of measurement relating to customer satisfaction, employee satisfaction, process performance, impact of TQM on costs, impact of TQM on sales, self-assessment, and benchmarking. We calculate a measurement-intensity score for each firm, based on how many of these seven parameters were being measured, and we show that increased measurement intensity is strongly associated with perceived TQM success. Finally, using multivariate discriminant analysis, we identify eight variables that explain the level of TQM success with a classification accuracy of almost 90%. We conclude that to attain the highest levels of TQM success, firms need to engage in the measurement practices of self-assessment and benchmarking, but our data suggest that an appropriate measurement framework needs to be in place beforehand.     

A HEURISTIC PROCEDURE FOR DETERMINING IN-PROCESS INVENTORIES

Most prior studies that examine in-process inventory requirements associated with a manufacturing facility employ an optimizing algorithm; this article proposes a heuristic procedure for determining such requirements. A procedure is given for determining “active” and “banked” work-in-process requirements. The two are combined to give total in-process requirements. A key factor presented in the paper is the relationship between in-process inventory requirements and the “balancing” of a production facility. Most prior researchers examine these problems independently. It will be shown that both problems can be resolved concurrently. The concepts are applicable to both an existing as well as a new manufacturing facility.