It is our great pleasure to invite you to the Measurement Error in Longitudinal Data Workshop. This workshop aims to bring together the latest developments in estimating and correcting for measurement error in longitudinal data. We are aiming for an interdisciplinary meeting and encourage colleagues from across a range of disciplines to submit an abstract. We especially encourage submissions from: survey research, statistics, psychology, education, health, economics, marketing, and data science. Abstracts should emphasize a measurement error topic relevant to longitudinal data. Possible topics may include (but are not limited to):
- Design of longitudinal data collection to minimize measurement error
- Estimating measurement error using experimental designs
- Statistical models for estimating measurement error
- Ways of correct for measurement error post-survey data collection
- Impact of measurement error on substantive research and policy making
- The use of adaptive designs to minimize measurement error
- Measurement error in different settings (e.g., admin data, social media data, biological data)
- Measurement error in online panel surveys
An edited book is being planned as part of the workshop. If you are interested in contributing a chapter to the book, please indicate your interest in the abstract submission form.
On the 19th of June we will be offering two free master classes:
- Kenneth A. Bollen – “An overview of latent growth curves, autoregressive, and ALT models for longitudinal data.”
- Harvey Goldstein – “Simultaneous adjustment for missingness and measurement errors in multilevel and longitudinal data, with an educational example.”
The workshop will also include two keynote speakers:
Kenneth A. Bollen is the Henry Rudolf Immerwahr Distinguished Professor of Sociology at the University of North Carolina at Chapel Hill
Annelies Blom is a Professor and project leader of the Germani Internet Panel, University of Mannheim.
Please submit an abstract by the 30th of January 2019 using the link below:
Notifications of acceptance will be sent to authors in the beggining of February 2019.
Registration to the workshop is free. Financial support is provided by the National Centre for Research Methods, Methods@Manchester, Survey Methods Research Group and the Statistical Modelling Group at the University of Manchester.
Alexandru Cernat, University of Manchester, UK
Joseph Sakshaug, Institute for Employment Research and University of Mannheim, Germany