Measurement Error in Longitudinal Data
Measurement Error in Longitudinal Data
Cernat, Alexandru; Sakshaug, Joseph W.
Oxford University Press
03/2021
464
Dura
Inglês
9780198859987
15 a 20 dias
884
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
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