Despite the wide dissemination and acceptance of teleworking in the IT industry, companies like Yahoo!, HP, or Best Buy have stopped their telework programs, which indicates that there might also be some negative side effects in this type of work. In regard to this, our research focuses on one particular negative side of teleworking by focusing on teleworking-induced stress of IT professionals. We theorize that teleworking-induced stressors influence IT personnel's psychological and behavioral strain in the form of exhaustion due to teleworking and discontinuous intention towards teleworking. Results of an empirical online survey with 57 IT professionals validate these dependencies, which gives us the grounds to identify work overload, work-home conflict, information underload, and social isolation as influence factors of exhaustion due to teleworking. Further results reveal that discontinuous intentions towards teleworking is directly influenced by social isolation and exhaustion due to teleworking, whereas the influence of work overload is mediated by exhaustion due to teleworking. Work overload due to telework has the strongest effect on exhaustion due to teleworking, which in turn is the strongest influence factor on the discontinuous intention towards teleworking.
The lidA Cohort Study (German Cohort Study on Work, Age, Health and Work Participation) was set up to investigate and follow the effects of work and work context on the physical and psychological health of the ageing workforce in Germany and subsequently on work participation. Cohort participants are initially employed people subject to social security contributions and born in either 1959 (n = 2909) or 1965 (n = 3676). They were personally interviewed in their homes in 2011 and will be visited every 3 years. Data collection comprises socio-demographic data, work and private exposures, work ability, work and work participation attitudes, health, health-related behaviour, personality and attitudinal indicators. Employment biographies are assessed using register data. Subjective health reports and physical strength measures are complemented by health insurance claims data, where permission was given. A conceptual framework has been developed for the lidA Cohort Study within which three confirmatory sub-models assess the interdependencies of work and health considering age, gender and socioeconomic status. The first set of the data will be available to the scientific community by 2015. Access will be given by the Research Data Centre of the German Federal Employment Agency at the Institute for Employment Research (http://fdz.iab.de/en.aspx).
This report documents the PASS interviewer survey which was conducted in November 2010. Altogether 253 interviewers who worked as interviewers for PASS wave 4 or 5 partici-pated in a websurvey focusing on their personality, attitudes and motivations and on strate-gies they use on their job. The report summarizes the motivation for conducting the survey, gives details on the survey design, documents the survey instrument and gives descriptive statistics.
Although interviewer observations have potential as auxiliary sources of information on key survey variables, questions about their quality temper enthusiasm for their use in survey estimation and responsive survey design. This study considers the utility of two interviewer observations (household income and household receipt of unemployment benefits) collected in a panel survey: the German Labor Market and Social Security (PASS) study. We find that the ability of the interviewer observations to accurately identify these household features is not as high as that of prior-wave survey reports on these features, but the observations do tend to capture accurate information for households with changing socioeconomic status over time (where prior-wave reports may be inconsistent with current-wave reports). The observations add modest predictive power to models for key survey variables that also include survey reports on related variables in prior waves, but this predictive power may be limited by relatively high error rates and variance in observation quality among interviewers. Finally, estimates based on panel households only improve slightly when including the observations in nonresponse adjustments, which is likely due to the inability of the observations to predict response propensity (given a relatively low attrition rate for the panel households). Implications for practice and directions for future research in this area are discussed in conclusion.
This article contributes to an ongoing debate about how to measure sensitive topics in population surveys. We propose a novel technique that can be applied to the measurement of quantitative sensitive variables: the item sum technique (IST). This method is closely related to the item count technique, which was developed for the measurement of dichotomous sensitive items. First, we provide a description of our new technique and discuss how data collected by the IST can be analyzed. Second, we present the results of a CATI survey on undeclared work in Germany, in which the IST has been applied. Using an experimental design, we compare the IST to direct questioning. Our empirical results indicate that the IST is a promising data-collection technique for sensitive questions. We conclude by discussing the limitations of the new technique and outlining possible improvements for future studies.