One year follow-up and mediation in cognitive behavioral therapy and acceptance and commitment therapy for adult depression

A-Tjak, Jacqueline G. L.; Morina, Nexhmedin; Topper, Maurice; Emmelkamp, Paul M. G.

doi:10.1186/s12888-020-03020-1

Table 4 Goodness-of-fit indices for the univariate latent growth curve models, the parallel process models and the latent difference score models

From: One year follow-up and mediation in cognitive behavioral therapy and acceptance and commitment therapy for adult depression

Model	X² (df)	RMSEA	CFI	BIC
QIDS-SR
Intercept-only	234.56 (19)***	0.37	0.16	2451.88
Linear change	17.03 (11)	0.08	0.98	2244.37
Curvilinear change	14.59 (7)*	0.12	0.97	2246.94
Multigroup LGCM ≠^a	30.01 (24)	0.08	0.98	2241.28
Multigroup LGCM =^b	30.54 (25)	0.07	0.98	2240.56
DAS-17
Intercept-only	102.37 (19)***	0.23	0.72	2826.02
Linear change^c	29.01 (16)*	0.10	0.96	2756.41
Curvilinear change	17.25 (12)	0.07	0.98	2749.66
Multigroup LGCM ≠^a	35.27 (27)	0.09	0.97	2741.72
Multigroup LGCM =^b	35.31 (29)	0.07	0.98	2739.26
Parallel process model^d	102.02 (55)***	0.10	0.93	4956.86
Latent difference score model	55.43 (35)*	0.08	0.97	4935.32
Latent difference score model multigroup ≠^e	236.53 (70)***	0.24	0.79	4946.48
Latent difference score model multigroup =^f	241.21 (75)***	0.23	0.79	4944.90
EQ_D
Intercept-only	109.26 (19)***	0.24	0.59	2556.74
Linear change	45.46 (11)***	0.20	0.84	2502.95
Curvilinear change^g	18.11 (9)*	0.11	0.96	2478.11
Multigroup LGCM ≠^a	60.20 (24)***	0.19	0.86	2480.85
Multigroup LGCM =^b	60.30 (26)***	0.18	0.86	2478.44
Parallel process model	80.23 (50)***	0.09	0.95	4667.48
Latent difference score model	78.39 (35)***	0.12	0.92	4684.43
Latent difference score model multigroup ≠	178.44 (70)***	0.19	0.83	4665.22
Latent difference score model multigroup =	186.54 (75)***	0.19	0.83	4667.06
AAQ-II
Intercept-only	91.46 (19)***	0.22	0.63	2799.96
Linear change	12.08 (11)	0.04	0.99	2730.59
Curvilinear change	7.52 (7)	0.03	0.99	2731.05
Multigroup LGCM ≠^a	42.77 (24)*	0.14	0.92	2724.58
Multigroup LGCM =^b	42.78 (25)*	0.13	0.92	2723.33
Parallel process model^h	67.66 (54)	0.06	0.98	4892.43
Latent difference score model	93.65 (35)***	0.14	0.90	4942.23
Latent difference score model multigroup ≠	172.53 (70)***	0.19	0.84	4917.40
Latent difference score model multigroup =	191.90 (75)***	0.20	0.81	4930.50

Note. QIDS-SR Quick Inventory for Depressive Symptomatology Self-Rated, DAS-17 Dysfunctional Attitude Scale-revised, EQ-D Decentering subscale of the Experiences Questionnaire, AAQ-II Acceptance and Action Questionnaire-II, RMSEA root mean square error of approximation, CFI Comparative Fit Index, BIC Bayesian Information Criterion, LGCM latent growth curve model. * = p < .05, *** = p < .001
^aIn this model a multigroup approach was applied to the best fitting univariate LGCM while freely estimating the slope factor means
^bIn this model a multigroup approach was applied to the best fitting univariate LGCM while an equality constraint was imposed on the slope factor means
^ccorrelated measurement residuals among adjacent time points were not included for these linear and curvilinear models as this provided a superior fit
^dthe curvilinear slope in DAS-17 scores was removed from this model, as a negative residual variance was obtained for this parameter
^eIn this model a multigroup approach was applied to the latent difference score model while freely estimating the regression pathway linking the latent difference score of the mediator to QIDS-SR scores at the end of the interval
^fIn this model a multigroup approach was applied to the latent difference score model while an equality constraint was imposed on the regression pathway linking the latent difference score of the mediator to QIDS-SR scores at the end of the interval
^gthe correlation between pre-treatment and session 1 scores was negative in this model and was constrained to 0
^h the curvilinear slope in AAQ-II scores was removed from this model, as a negative residual variance was obtained for this parameter

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