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Assessing intra- and inter-individual reliabilities in intensive longitudinal studies: A two-level random dynamic
Yue Xiao1, Pujue Wang2, Hongyun Liu2
1Department of Educational Psychology, Faculty of Education, East China Normal University.
Psychological Methods
|August 10, 2023
Summary
This study introduces a new two-level random dynamic measurement (2RDM) model for intensive longitudinal data (ILD). The model addresses measurement error and estimates within- and between-person reliability, revealing significant individual differences.
Area of Science:
- Psychological measurement
- Longitudinal data analysis
- Psychometrics
Background:
- Intensive longitudinal studies (ILS) are valuable for understanding psychological dynamics.
- Measures in ILS are prone to error, necessitating robust reliability assessment.
- Existing reliability methods struggle with ILS data due to conflated variations and interindividual differences.
Purpose of the Study:
- To introduce a novel two-level random dynamic measurement (2RDM) model for ILS.
- To provide a method for deriving within- and between-person reliability within the 2RDM framework.
- To address the omission of measurement models in existing ILS approaches.
Main Methods:
- Development of the two-level random dynamic measurement (2RDM) model.
- Derivation of within- and between-person reliability formulas.
- Simulation study for model and reliability estimation validation.
- Empirical application using the Perceived Stress Scale.
Main Results:
- The 2RDM model effectively incorporates measurement models for ILS.
- Within- and between-person reliabilities can be reliably estimated.
- The Perceived Stress Scale analysis revealed substantial individual differences in within-person reliability.
Conclusions:
- The 2RDM model offers a comprehensive approach to reliability in ILS.
- The method accounts for both measurement error and individual variability.
- It provides valuable insights into the psychometric properties of measures in dynamic psychological research.
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