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. 2019 May 16;90(4):1424–1441. doi: 10.1111/cdev.13248

Table 2.

Model Fit Statistics for the Different Tested Models

Model name −2LL χ2 df p CFI NNFI RMSEA RMSEA L RMSEA U RMSEA p AIC BIC
1. Saturated model 4,178.45 4,266.45 4,381.51
2. No direct effect 4,182.07 3.62 1 .057 0.95 −0.31 .16 .00 .35 .089 4,268.07 4,380.52
3. Role of AC removed 4,190.64 12.19 2 .002 0.82 −1.55 .23 .12 .35 .007 4,274.64 4,384.48
4. Role of DC removed 4,178.96 0.51 2 .776 1.00 1.37 .00 .00 .13 .821 4,262.96 4,372.79
5. Role of temp removed 4,183.60 5.16 2 .076 0.94 0.21 .13 .00 .26 .127 4,267.60 4,377.44
6. Roles of both DC and temp removed 4,184.38 5.93 4 .205 0.97 0.76 .07 .00 .18 .318 4,264.38 4,368.98
7. Drop moderation 4,188.52 10.07 5 .073 0.91 0.49 .10 .00 .19 .152 4,266.52 4,368.51
8. Final model 4,199.00 20.55 18 .303 0.95 0.93 .04 .00 .10 .568 4,251.00 4,318.99

AC is blood pulse amplitude increase. DC is blood volume increase. Temp is cheek temperature increase. AC = alternating current; DC = direct current; CFI = comparative fit index; NNFI = Non‐Normed Fit Index; RMSEA = root mean square error of approximation; AIC = Akaike information criterion; BIC = Bayesian information criterion.