3rd of June 2021
14:00 – 18:15 (BST)
Online
To mark the launch of the new book Measurement Error in Longitudinal Data the Royal Statistical Society will be hosting a half-day Master class. The Master class will bring together six of the book authors to present the state of the art in statistical models for estimating and correcting for measurement error in longitudinal data. The course will highlight different statistical models as well as how these can be implemented in practice.
Book your place now on the RSS website.
Program – 3rd of June 2021: 14:00 – 18:15 (BST) – online
| 14:00 – 14:15 | Introduction to event and book Alexandru Cernat (University of Manchester) & Joe Sakshaug (IAB/LMU-Munich) |
| 14:15 – 14:50 | Developing Reliable Measures: An Approach to Evaluating the Quality of Survey Measurement Using Longitudinal Designs Duane F. Alwin (Pennsylvania State University) |
| 14:50 – 15:25 | Comparison of Reliability in Seventeen European Countries Using the Quasi-Simplex Model Johana Chylíková (Institute of Sociology of the Czech Academy of Sciences) |
| 15:25 – 16:00 | Modelling error dependence in categorical longitudinal data Dimitris Pavlopoulos (Vrije Universiteit Amsterdam) |
| 16:00 – 16:15 | Break |
| 16:15 – 16:50 | Longitudinal Measurement (Non)Invariance in Latent Constructs Heinz Leitgöb (University of Eichstätt-Ingolstadt) |
| 16:50 – 17:25 | Self-evaluation, Differential Item Functioning and Longitudinal Anchoring Vignettes Omar Paccagnella (University of Padua) |
| 17:25 – 18:00 | Establishing measurement invariance across time within an accelerated longitudinal design Maria Pampaka (University of Manchester) |
| 18:00 – 18:15 | Q&A and concluding remarks |
As part of the event, Oxford University Press will be offering a 30% on the Measurement Error in Longitudinal Data book.
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