APS
2022 APS Annual Convention · 2022
Advanced Psychometric Practices to Analyze Multilevel Intensive Longitudinal Data
- Saifa Pirani
University of North Carolina - Chapel Hill - Daniel Bauer
University of North Carolina at Chapel Hill
Abstract
We provide a pedagogical outline and example of best psychometric practices when analyzing intensive longitudinal data. The outline provides general guidelines on reliability (e.g., coefficient alpha), validity (e.g., multilevel confirmatory factor analysis), and the decomposition of within- and between-person effects using singly and doubly latent mixed effects models.
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