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. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: Dev Psychol. 2019 Mar 4;55(6):1338–1352. doi: 10.1037/dev0000716

Table 2.

Description of the Bivariate Latent Change Score models compared

Model 1
Age predicts latent intercept and slope
- Residual variance estimated for latent intercept of g2g0) and Ctx2Ctx0)
- Covariance between latent intercepts (σg0-Ctx0)
- Self-feedback parameters from level (t-1) to changes (t)
β g→Δg
β Ctx→ΔCtx
Model 2
- Self-feedback from previous changes (t-1) to subsequent changes (t)
ϕ Δg→Δg
ϕ ΔCtx→ΔCtx
Model 3
- Couplings from level (t-1) to changes (t)
γ g→ΔCtx
γ Ctx→Δg
Model 4
- Couplings from previous changes (t-1) to subsequent changes (t)
ξ Δg→ΔCtx
ξ ΔCtx→Δg
Model 5
- Residual variance estimated for latent slope of g2gs) and Ctx2Ctxs)
- Covariance between latent slopes (σgs-Ctxs)
Model 6
- Covariances between latent slopes and intercepts:
σg0-gs, σCtx0-Ctxs, σg0-Ctxs, σCtx0-gs

Note: All the parameters estimated in a model are also estimated in subsequent models