
Measurement Error in Longitudinal Data
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Content
- 1: Memory Effects as a Source of Bias in Repeated Survey Measurement
- 2: A Methodological Framework for the Analysis of Panel Conditioning Effects
- 3: A longitudinal error framework to support the design and use of integrated datasets
- 4: Modeling Mode Effects for a Panel Survey in Transition
- 5: Estimating Mode Effects in Panel Surveys: A Multitrait Multimethod Approach
- 6: Developing Reliable Measures: An Approach to Evaluating the Quality of Survey Measurement Using Longitudinal Designs
- 7: Assessing and relaxing assumptions in quasi-simplex models
- 8: Modelling error dependence in categorical longitudinal data
- 9: Reliability in Latent Growth Curve Models
- 10: Longitudinal Measurement (Non)Invariance in Latent Constructs: Conceptual Insights, Model Specifications and Testing Strategies
- 11: Measurement invariance with ordered categorical variables: applications in longitudinal survey research
- 12: Self-evaluation, Differential Item Functioning and Longitudinal Anchoring Vignettes
- 13: The Implications of Functional Form Choice on Model Misspecification in Longitudinal Survey Mode Adjustments
- 14: Disappearing errors in a conversion model
- 15: On Total Least Squares Estimation for Longitudinal Errors-in-Variables Models
- 16: Comparison of Reliability in Seventeen European Countries Using the Quasi-Simplex Model
- 17: Establishing measurement invariance across time within an accelerated longitudinal design
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