Measurement error in longitudinal data / edited by Alexandru Cernat, Joseph W. Sakshaug.
| Other author | Cernat, Alexandru. |
| Other author | Sakshaug, Joseph W. |
| Other author | Oxford University Press. |
| Format | Electronic |
| Edition | First edition. |
| Publication Info | Oxford ; New York, NY : Oxford University Press, 2021. |
| Description | xii, 448 pages : illustrations (some color) ; 24 cm |
| Supplemental Content | Full text available from Oxford Scholarship Online |
| Subjects |
| Contents | 1. Memory Effects as a Source of Bias in Repeated Survey Measurement / Tobias Rettig and Annelies G. Blom -- 2. A Methodological Framework for the Analysis of Panel Conditioning Effects / Ruben L. Bach -- 3. A longitudinal error framework to support the design and use of integrated datasets / Louisa Blackwell and Nicola Jane Rogers -- 4. Modeling Mode Effects for a Panel Survey in Transition / Paul P. Biemer, Kathleen Mullan Harris, Dan Liao, Brian J. Burke, and Carolyn Tucker Halpern -- 5. Estimating Mode Effects in Panel Surveys: A Multitrait Multimethod Approach / Martin Kroh, Anna Karmann, and Simon Kühne -- 6. Developing Reliable Measures: An Approach to Evaluating the Quality of Survey Measurement Using Longitudinal Designs / Duane F. Alwin -- 7. Assessing and relaxing assumptions in quasi-simplex models / Alexandru Cernat, Peter Lugtig, Nicole Watson, and S.C. Noah Uhrig -- 8. Modelling error dependence in categorical longitudinal data / Dimitris Pavlopoulos, Paulina Pankowska, Bart Bakker, and Daniel Oberski -- 9. Reliability in Latent Growth Curve Models / Nick Shryane -- 10. Longitudinal Measurement (Non)Invariance in Latent Constructs: Conceptual Insights, Model Specifications and Testing Strategies / Heinz Leitgöb, Daniel Seddig, Peter Schmidt, Edward Sosu, and Eldad Davidov -- 11. Measurement invariance with ordered categorical variables: applications in longitudinal survey research / Tiziano Gerosa -- 12. Self-evaluation, Differential Item Functioning and Longitudinal Anchoring Vignettes / Omar Paccagnella -- 13. The Implications of Functional Form Choice on Model Misspecification in Longitudinal Survey Mode Adjustments / Heather Kitada Smalley, Sarah C. Emerson, and Virginia Lesser -- 14. Disappearing errors in a conversion model / David P. Fan -- 15. On Total Least Squares Estimation for Longitudinal Errors-in-Variables Models / Rauf Ahmad, and Silvelyn Zwanzig -- 16. Comparison of Reliability in Seventeen European Countries Using the Quasi-Simplex Model / Johana Chylíková -- 17. Establishing measurement invariance across time within an accelerated longitudinal design / Maria Pampaka. |
| Abstract | Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organisations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. This book tackles the important issue of how to investigate change in the context of imperfect data. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020950917 |
| ISBN | 9780198859987 hardback |
| ISBN | 0198859988 hardback |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |