Heterogeneity in Trajectories of Life Satisfaction After Reunification: The Role of Individual Resources and Life Stage in Former East Germany

Social Indicators Research - For people living in the former East Germany, reunification with the former West Germany fundamentally transformed the sociopolitical system and most domains of...     

Vertrauensunterstützung für sozio-technische ubiquitäre Systeme

Trust has been shown as a crucial factor for the adoption of new technologies. Surprisingly, trust literature offers very little guidance for systematically integrating the vast amount of behavioral trust results into the development of computing systems. The aim of this article is to develop a method for deriving trust supporting components for ubiquitous computing systems. The method is used to derive four trust supporting components for a ubiquitous restaurant recommendation system. Afterwards, the system is evaluated using a laboratory experiment with 166 undergraduate students. The results show that the users’ trust as well as their intention to use the system could be significantly increased. To the best of our knowledge, this is the first article developing and evaluating a method for systematically integrating the behavioral trust results into the development of a computing system and its value.     

Estimators in capture–recapture studies with two sources

This paper investigates the applications of capture–recapture methods to human populations. Capture–recapture methods are commonly used in estimating the size of wildlife populations but can also be used in epidemiology and social sciences, for estimating prevalence of a particular disease or the size of the homeless population in a certain area. Here we focus on estimating the prevalence of infectious diseases. Several estimators of population size are considered: the Lincoln–Petersen estimator and its modified version, the Chapman estimator, Chao’s lower bound estimator, the Zelterman’s estimator, McKendrick’s moment estimator and the maximum likelihood estimator. In order to evaluate these estimators, they are applied to real, three-source, capture-recapture data. By conditioning on each of the sources of three source data, we have been able to compare the estimators with the true value that they are estimating. The Chapman and Chao estimators were compared in terms of their relative bias. A variance formula derived through conditioning is suggested for Chao’s estimator, and normal 95% confidence intervals are calculated for this and the Chapman estimator. We then compare the coverage of the respective confidence intervals. Furthermore, a simulation study is included to compare Chao’s and Chapman’s estimator. Results indicate that Chao’s estimator is less biased than Chapman’s estimator unless both sources are independent. Chao’s estimator has also the smaller mean squared error. Finally, the implications and limitations of the above methods are discussed, with suggestions for further development. We are grateful to the Medical Research Council for supporting this work.     

Editorial

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Editorial

     

Buchbesprechungen

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”Industrielle Beziehungen im Spannungsfeld zwischen ökonomischer Effizienz und sozialer Gerechtigkeit“ Herbsttagung der deutschen Sektion der International Industrial Relations Association (GIRA) am 27./28. September 2002 an der Freien Universität Berlin

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