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. Author manuscript; available in PMC: 2022 Aug 1.
Published in final edited form as: J Adolesc. 2021 Jul 9;91:1–14. doi: 10.1016/j.adolescence.2021.07.001

Table 4.

Univariate and bivariate latent growth curve model fit indices.

Model descriptions Model fit Model comparisons

Univariate models χ2 (df) p CFI TLI RMSEA AIC BIC Δχ2 (Δdf) p
Nonlinear depressive symptom model 8.34 (6) .214 .99 .99 .06 2600.90 2597.23
Nonlinear goal-directed behavior model 7.81 (6) .252 .97 .97 .05 2217.71 2214.03
Nonlinear impulse control model 10.37 (6) .110 .94 .94 .08 2270.12 2266.45
 Linear impulse control model 14.47 (8) .070 .92 .94 .08 2270.23 2267.47 4.10 (2) .129
Nonlinear regulation strategies model 22.51 (6) .001 .84 .84 .16 2482.16 2478.48
 Linear regulation strategies model 27.93 (8) .001 .80 .85 .15 2483.57 2480.81 5.42 (2) .067
Bivariate models
Depressive symptoms & goal-directed behavior 58.97 (36) .009 .91 .87 .08 4793.82 4880.23
Depressive symptoms & impulse control 57.47 (38) .022 .93 .90 .07 4850.96 4837.17
Depressive symptoms & regulation strategies 73.34 (36) <.001 .89 .83 .10 5030.09 5015.39

Note. χ2 = Chi-square; df = degrees of freedom; CFI = comparative fit index; TLI = Tucker-Lewis index; RMSEA = root-mean-square error of approximation; AIC = Akaike information criteria; BIC = sample-size adjusted Bayesian information criteria; Δ = change in parameter.