Table 3.

Goodness‐of‐Fit Statistics for the Latent Markov Models of the Distracting Switching Inhibition and Flexibility Task

Model	LL	npar	AIC	BIC	BICw
1 state	−448.13	1	898.27	899.94	0.00
Regression (age)	−415.56	2	835.13	838.48	0.01
2‐state	−421.80	4	851.61	858.30	0.00
2‐state + age	−403.71	6	819.42	829.46	0.96
3‐state	−419.92	5	849.84	858.21	0.00
3‐state + age	−398.53	11	819.05	837.47	0.02

The abbreviation “npar” denotes the number of parameters; it is corrected for parameters estimated at their boundary values (0 or 1). The small‐sample version of the BIC is reported here. Finally, BICw denotes the BIC weights. AIC = Akaike's information criterion; BIC = Bayesian information criterion.