Skip to main content
. 2021 Mar 3;48:100939. doi: 10.1016/j.dcn.2021.100939

Table 2.

Model Fit for Univariate Growth Models of Insula-dACC Activation during Risk Processing and Fronto-parietal Activation during Cognitive Control.

Model Label χ2 df p RMSEA CFI Comparison Δχ2 Δdf p(d)
Insula-dACC Activation during Risk Processing
  • 1

    No-growth model

 224.71 9 .000 0.38 .00
  • 2

    Linear growth model

 30.41 6 .000 0.16 .63 1 vs 2 194.30 3 .000
  • 3

    Latent basis growth model

 2.73 4 .604 0.00 1.00 2 vs 3 27.68 2 .000
Fronto-parietal Activation during Cognitive Control
1. No growth model 97.93 8 .000 0.27 .00
2. Linear growth model 20.36 5 .001 0.14 .61 1 vs 2 77.57 3 .000
3. Latent basis growth model 4.15 3 .245 0.05 .97 2 vs 3 16.21 2 .000

Notes. dACC = dorsolateral anterior cingulate cortex; RMSEA = root mean square error of approximation; CFI = comparative-fit index; Δχ2 = difference in likelihood ratio tests; Δdf = difference in df; p(d) = probability of the difference tests. The best-fitting models are in boldface.