Measurement Error in Longitudinal Data
Alexandru Cernat and Joseph W. Sakshaug
Author Information
Alexandru Cernat, Senior Lecturer in Social Statistics, University of Manchester,Joseph W. Sakshaug, University Professor of Statistics, Ludwig Maximilian University of Munich
Alexandru Cernat is a senior lecturer in the Social Statistics Department at the University of Manchester. He has a PhD in survey methodology from the University of Essex and was a post-doc at the National Centre for Research Methods and the Cathie Marsh Institute. His research and teaching focus on: survey methodology, longitudinal data, measurement error, latent variable modelling, new forms of data and missing data.
Joseph W. Sakshaug is Deputy Head of Research and Head of the Data Collection and Data Integration Unit in the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nuremberg. He is also University Professor of Statistics in the Department of Statistics at the Ludwig Maximilian University of Munich, and Honorary Professor in the School of Social Sciences at the University of Mannheim. His research and teaching focuses on survey design and estimation, nonresponse and measurement error, and data integration.
Contributors:
Tobias Rettig
Annelies G. Blom
Ruben L. Bach
Louisa Blackwell
Nicola Jane Rogers
Paul P. Biemer
Kathleen Mullan Harris
Dan Liao
Brian J. Burke
Carolyn Tucker Halpern
Martin Kroh, Anna Karmann
Simon Kühne
Duane F. Alwin
Peter Lugtig
Nicole Watson
S.C. Noah Uhrig
Dimitris Pavlopoulos
Paulina Pankowska
Bart Bakker
Daniel Oberski
Nick Shryane
Heinz Leitgöb
Daniel Seddig
Peter Schmidt
Edward Sosu
Eldad Davidov
Tiziano Gerosa
Omar Paccagnella
Heather Kitada Smalley
Sarah C. Emerson
Virginia Lesser
David P. Fan
Rauf Ahmad
Silvelyn Zwanzig
Johana Chylíková
Maria Pampaka