Table 1.

Arrows weight values in the directed acyclic graphs.

Arrow		Value determining arrow thickness
From	To	BIC	Directional probability
Descr	Obs	− 47.98	0.60
Descr	NonReact	− 50.97	0.57
Acting	Descr	− 65.10	0.72
Acting	NonJudge	− 171.58	0.64
NonReact	Obs	− 61.23	0.64
NonJudge	Obs	− 55.47	0.77
NonJudge	NonReact	− 0.15	0.56

BIC = change in Bayesian Information Criterion when that arrow is removed from the network. BIC values determine arrow thickness in Fig. 5A (reflecting the importance of that edge to the network structure). For the BIC values, negative values correspond to decreases in the network score that would be caused by the arrow’s removal. In other words, negative scores mean that model fit improves with the presence of that arrow. Directional probability values determine arrow thickness in Fig. 5B (reflecting the frequency that arrow was present in that direction in the 10,000 bootstrapped networks).

Obs observing, Descr describing, Acting acting with awareness, NonReact nonreactivity to inner experience, NonJudge nonjudgment of inner experience.