The effect of transcranial direct current stimulation and inhibitory control training on depression and anxiety among post-stroke individuals

Table 4 Results of bayesian repeated measures ANOVA for PSA

Spielberger’s State Anxiety Inventory (STAI-S)
Model Comparison					Post Hoc Comparison
Models	P(M\|data)	P(Incl\|data)	BF10	BFIncl	Levels		Prior Odds	Posterior Odds	BF_10,U	Error %
Null model	0.31		1.00		Pre-Post Factor
Pre-Post Factor	0.39	0.58	1.26	0.93	Level 1	Level 2	1.00	1.11	1.11	0.02
Condition	0.11	0.31	0.36	0.30	Condition
Pre-Post Factor + Condition	0.15	0.05	0.48	0.22	AT	T	0.59	0.34	0.58	0.01
Pre-Post Factor + Condition + Pre-Post Factor * Condition	0.05		0.17		A		0.59	0.26	0.44	0.01
Pre-Post Factor + Condition + Pre-Post Factor * Condition	0.05		0.17		T	A	0.59	0.17	0.29	0.01
Spielberger’s State Anxiety Inventory (STAI-T)
Null model	0.16		1.00		Pre-Post Factor
Pre-Post Factor	0.37	0.75	2.33	2.03	Level 1	Level 2	1.00	2.13	2.13	0.00
Condition	0.09	0.47	0.55	0.58	Condition
Pre-Post Factor + Condition	0.21	0.17	1.28	0.84	AT	T	0.59	0.26	0.45	0.01
Pre-Post Factor + Condition + Pre-Post Factor * Condition	0.17		1.09			A	0.59	0.64	1.09	0.01
Pre-Post Factor + Condition + Pre-Post Factor * Condition	0.17		1.09		T	A	0.59	0.30	0.51	0.01

The Spielberger’s State and Trait Anxiety Inventory (STAI-S and STAI-T) outcomes from Bayesian Repeated Measures ANOVA are summarized in the table. For STAI-S, the Pre-Post Factor model showed moderate support (BF10 = 1.26), while for STAI-T, more robust support was observed (BF10 = 2.33), indicating pre-post changes were notable for trait anxiety. No significant interaction effects or group-level differences were detected, suggesting that changes were primarily associated with time rather than treatment conditions. Abbreviations: Active tDCS treatment (A), sham tDCS treatment with ICCT (T), active tDCS treatment with ICCT (AT).

ISSN: 1471-2377