Abstract
The recent integration of traditional time series analysis and confirmatory factor analysis techniques allows researchers to evaluate the psychometric properties of measurement instruments at between- and within-persons levels while accounting for autoregressive dependencies. The current study applies a dynamic structural equation modeling (SEM) latent factor analysis (i.e., DSEM-CFA) to a sample of 333 individuals who completed the DASS-21 at their regular therapy sessions. The results of the DSEM-CFA illuminate the reliability, invariance, and structural features of each DASS-21 subscale both between and within persons. The results suggest that the DASS-21 reliably measures depression, anxiety, and stress symptoms when evaluating differences between persons, but does not reliably assess within-persons fluctuations in symptoms over time. The results also suggest that currently accepted methods of modeling sensitivity to change within an instrument are likely lacking and the DSEM-CFA provides insight into reliability within and between persons, which is extremely important for instruments used across time.
Original language | English (US) |
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Pages (from-to) | 2115-2127 |
Number of pages | 13 |
Journal | Assessment |
Volume | 30 |
Issue number | 7 |
DOIs | |
State | Published - Oct 2023 |
Keywords
- dynamic SEM
- factor analysis
- multilevel
- psychometrics
- time series
ASJC Scopus subject areas
- Clinical Psychology
- Applied Psychology