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Table 1.

Descriptive Statistics for BDI and ERSQ over Time.

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Figure 1.

Path Diagram of the Bivariate Growth Curve Model.

ERSQ = Emotion-Regulation Skills Questionnaire, DASS = Depression Anxiety Stress Scale, SERSA = Successful Emotion Regulation Skills Application, DSS = Depressive Symptoms Severity, e = residual error, σ2 = variance, r = cross-construct error covariance (set equal across time); residual errors were allowed to covary across constructs within time to avoid bias due to variance related to specific assessment occasions and to increase model parsimony [80].

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Figure 2.

Path Diagram of the Bivariate Latent Change Score Model.

ERSQ = Emotion-Regulation Skills Questionnaire, DASS = Depression Anxiety Stress Scale, SERSA = Successful Emotion Regulation Skills Application, DSS = Depressive Symptoms Severity, r = cross-construct error covariance, i = intercept, s = slope, γ = coupling parameter, β = proportion parameter, Δ = latent change score; for purpose of clarity, cross-construct error covariances are only shown for T4, but are also included for the other measurement points; error variances were set equal within constructs; loadings of growth factors and autoregressive proportions were set equal to one; proportion and coupling parameters were set equal across time within constructs; for model identification, means of errors and intercept of observed variables were set equal to zero [81], [89].

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Table 2.

Fit indices of the models tested.

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Table 3.

Correlations of ERSQtotal Score and the DASS Scales for Each Assessment Point.

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Table 4.

Latent Growth Curve Model: Parameter Estimates for Intercepts, Slopes and Correlations of Slopes and Intercepts.

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Table 5.

Bivariate Latent Change Score Model: Estimates of Regression Coefficients.

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Table 6.

Bivariate LCS Models: Stepwise Test of Coupling Effects (Δ χ2/Δ df for comparisons with no-coupling model).

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