Changes in active ageing in a Nordic regional context: Results based on the GERDA study in 2005 and 2016

The study examined changes in active ageing among 65/66- and 75/76-year-olds in northern Sweden and western Finland. Data were retrieved from a repeated cross-sectional survey conducted in 2005 and 2016. Logistic regression was used to estimate the probability of ageing actively in terms of employment, social and political participation, confidence in healthcare, economic situation, self-rated health and social contacts. The results showed no significant changes in employment, social participation or economic situation. However, the level of political participation and self-rated good health was significantly higher in 2016 compared with 2005, whereas confidence in healthcare and social contacts was lower. Considering that the implementation of active ageing policies relies heavily on municipal and/or regional level in our study region, our results could be used as a framework for regional policymaking.     

Founding the New‘Family Studies’

By developing the concept of Multidimensional Developmental Pathways, the potential social policy consequences of such theorising are explored. In moving towards conceptualising the actual needs of people and the unity of their lives we can consciously (rather than unconsciously) contribute proposals for rebuilding social policy. With a view to generating further interest in alternative theoretical approaches to the analysis of ‘family life’, three theorems are then proposed. These three theorems constitute the first step in founding the New‘Family Studies’.     

Voices in Transition: Lessons on Career Adaptability

Occupational problems have negative consequences across life domains, yet relatively little research addresses the psychological resources necessary for the adult career transition. Considering Super's concept of career adaptability (D. E. Super &: E. G. Knasel, 1981), the authors outline what they believe adults need to successfully manage the transition. Individuals in transition were interviewed and their responses were analyzed using qualitative methods. Participants who anticipated career change planfully and realistically, even when their jobs appeared to be secure, cited better experiences of the transition and perceived themselves to be coping better than did participants who ignored signs of change or reacted unrealistically soon after the job loss.     

Sponsored Social Change in a Public Housing Project

Federal and local pressures have given rise to a hybrid organization that brings together disparate groups from the public and non-profit sectors to address complex social problems. This article examines one such organizational emergence of state-affiliated sponsorship. Based on data from a multi-method case study, we find that not only do members of the sponsoring organization use legitimate authority structures, existing laws, and social norms to reproduce their power, they do so with a state mandate that privileges their expertise and processes.Parts of this paper were prepared while the third author, Beth A. Rubin, was on leave to serve as Director, Sociology Program, National Science Foundation. The views expressed in this paper do not necessarily reflect those of the National Science Foundation. P. Denise Cobb is an Assistant Professor in the Department of Sociology and Criminal Justice Studies at Southern Illinois University Edwardsville. This research reflects one part of Cobb's dissertation research that addresses how organizational actors from unequal social positions define a collective agenda and whose interests prevail when there is a lack of consensus. Her current research further examines the emergence of the university-community partnership form. She has published related work in Administration & Society and previously in Qualitative Sociology. Jon Shefner is Associate Professor of Sociology and Director of the Global Studies Interdisciplinary Program at the University of Tennessee-Knoxville. He is co-editor, with Patricia Fernandez-Kelly, of Out of the Shadows: Political Action and the Informal Economy in Latin America (2006: Pennsylvania State Press). He is currently working on a book examining the impact of globalization and democratization on the mobilization and well being of Mexico's urban poor. Beth A. Rubin is Professor of Management and Adjunct Professor of Sociology at University of North Carolina-Charlotte. Rubin publishes on economic and workplace transformation, labor unions, homelessness and social policy and social theory in leading academic journals. Her current research is on organizational commitment in the context of the new economy, inequality and industrial restructuring, organizational and workplace restructuring and time in organizations, the latter of which is represented in the forthcoming book, Research in the Sociology of Work: Workplace Temporalities, that Rubin is editing.     

Examples of option values in drug development

The option to stop a project is fundamental in drug development. The majority of drugs do not reach the market. Furthermore, many marketed drugs do not repay their development costs. It is therefore crucial to optimize the value of the option to stop. We formulate two examples of statistical models. One is based on success/failure in a series of trials; the other assumes that the commercial value evolves as a stochastic process as more information becomes available. These models are used to study a number of issues: the number and timing of decision points; value of information; speed of development; and order of trials. The results quantify the value of options. They show that early information that can change key decisions is most valuable. That is, we should nip bad projects in the bud. Modelling is also useful to analyse more complex decisions, for example, weighting the value of decision points against the cost of information or the speed of development. Copyright © 2003 John Wiley & Sons, Ltd.     

A novel bootstrap procedure for assessing the relationship between class size and achievement

Summary. There is on-going concern about the relationship between class size and achievement for children in their first years of schooling. The Institute of Education's class size project was set up to address this issue and began recruiting in the autumn of 1996. However, because of the non-normality of achievement measures, especially in mathematics, the results have hitherto been presented by using transformed achievement measures. This makes the interpretation difficult for non-statisticians. Ideally, the data would be modelled on the original scale and a bootstrap procedure used to ensure that inferences are robust to non-normality. However, the data are multilevel. In the paper we therefore propose a nonparametric residual bootstrap procedure that is suitable for multilevel models, show that it is consistent and present a simulation study which demonstrates its potential to yield substantial reductions in the difference between nominal and actual confidence interval coverage, compared with a parametric bootstrap, when the underlying distribution of the data is non-normal. We then apply our approach to estimate the relationship between class size and achievement for children in their reception year, after adjusting for other possible determinants.