Presentations and media from the second seminar, “Indicators of Wellbeing and their Measurement/Analysis“
A summary of our discussions from this seminar can be found here: Summary of Seminar 2
Unhealthy ICT Related (Work) Practices: What are they? How might we measure them?
Work scholars have identified a number of key practices facilitated through information and communication technology (ICT) use that promote work-life extension and intensification in ways that detract from worker well-being. What are “extension” and “intensification” and how are these processes initiated and supported by our ICT infrastructure? How might extension and intensification processes, and their associated practices, detract from worker health and well-being? How should future research engage the changing nature of work, work organizations, and shifting connections among employers and workers to better theorize and measure the role that ICT-based practices play in shaping unhealthy work conditions?
Wellbeing, technology use and attitudes towards technology
Big Data facilitates the collection of large amounts of measures on objective usage of technology such as number of e-mails sent or received or response time. Such objective variables might however be unreliable indicators of wellbeing due to the subjectivity involved in the appraisal process. For instance, a same amount of e-mails might be considered stressful by one individual but not by the other. This presentation will thus explore (a) the links between attitudes towards technology and wellbeing, (b) the measurement of subjective indicators of technology use, and (c) the impact of both actual and perceived technology use on wellbeing using Person-Environment fit approaches.
Temporal Dynamics of Wellbeing
For capturing dynamics in work stress and well being, conducting multiple measurements across time is necessary, but it is not sufficient. Any measurement reflects a snapshot at a discrete time point only. Important questions are (a) how discrete measurements can be used to analyze continuous (i.e., dynamic) relations among work stress and well being, and (b) how to optimally design the spacing (lags) of measurements and the length of studies. I will introduce some recent developments, which have demonstrated how discrete measurements can be related to their underlying continuous time (CT) processes and how this can be implemented in structural equation models (SEM). I will also show how the optimal spacing of measurements can be computed (using continuous or discrete time analyses), and discuss implications for the design of studies.
Analysising Organisational Indicators of Wellbeing
Jeremy will present some findings on the relationship between organisational data and wellbeing and will examine issues related to statistical analysis across multiple data sources and different levels of analysis.