Masterclass: Estimating and correcting for measurement error in longitudinal studies

Date:

03/06/2021

Organised by:

Royal Statistical Society

Presenter:

Dr. Alexandru Cernat

Level:

Advanced (specialised prior knowledge)

Contact:

Alexandru Cernat (alexandru.cernat@manchester.ac.uk)

video conference logo

Venue: Online

Description:

To mark the launch of the new book Measurement Error in Longitudinal Data the Royal Statistical Society will be hosting a half-day masterclass. The masterclass 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 and estimates of change, as well as highlighting how these methods can be implemented in practice

Programme:

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% discount to the Measurement Error in Longitudinal Data book

Cost:

£50

Website and registration:

Region:

International

Keywords:

Quality in Quantitative Research, Measurement Error, Regression Methods, Multilevel Modelling , Longitudinal Data Analysis, Latent Variable Models

Related publications and presentations:

Quality in Quantitative Research
Measurement Error
Regression Methods
Multilevel Modelling
Longitudinal Data Analysis
Latent Variable Models

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