Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis
Published inFrontiers in Psychology, vol. 9, no. 294
Publication date2018
Abstract
Keywords
- Linear latent growth curve model
- Statistical power
- Effect size
- Effective error
- Structural equation modeling
- Reliability
- Longitudinal study design
Research group
Citation (ISO format)
BRANDMAIER, Andreas M. et al. Precision, Reliability, and Effect Size of Slope Variance in Latent Growth Curve Models: Implications for Statistical Power Analysis. In: Frontiers in Psychology, 2018, vol. 9, n° 294. doi: 10.3389/fpsyg.2018.00294
Main files (1)
Article (Published version)
Identifiers
- PID : unige:107247
- DOI : 10.3389/fpsyg.2018.00294
ISSN of the journal1664-1078