Skip to main content
. Author manuscript; available in PMC: 2020 Oct 15.
Published in final edited form as: J Alzheimers Dis. 2020;75(4):1169–1180. doi: 10.3233/JAD-191268

Table 3.

Fit statistics for models using no change-points, one change-point, or two change-points. Model fit was assessed using the likelihood ratio test, with bold text indicating the current model provides significantly better fit compared to the one prior

No change-points 1 change-point 2 change-points
CVLT-IMM −2 LL/DF 6918.5/8 6745.4/10 6720.9/12
p value <0.0001 <0.0001
CVLT-LD −2 LL/DF 4629.7/8 4436.5/10 4428.9/12
p value <0.0001 0.022
BVRT −2 LL/DF 5081.5/8 5013.0/10 5011.5/12
p value <0.0001 0.47
TMT-A −2 LL/DF 8405.4/8 8302.8/10 8299.1/12
p value <0.0001 0.16
TMT-B −2 LL/DF 8701.8/8 8626.8/10 8626.5/12
P value <0.0001 0.86
Categories −2 LL/DF 4245.0/8 4073.8/10 4064.1/12
P value <0.0001 0.0078
Letters −2 LL/DF 4582.4/8 4530.4/10 4523.9/12
p value <0.0001 0.039
BNT −2 LL/DF 5152.7/8 4963.6/10 4949.9/12
p value <0.0001 0.0011
Similarities −2 LL/DF 4221.8/8 4154.9/10 4147.3/12
p value <0.0001 0.022
Card Rotations −2 LL/DF 7548.6/8 7468.6/10 7457.6/12
p value <0.0001 0.0041
MMSE −2 LL/DF 3924.1/8 3726.4/10 3719.0/12
p value <0.0001 0.025

BNT, Boston Naming Test; BVRT, Benton Visual Retention Test; CVLT, California Verbal Learning Test; CVLT-IMM, CVLT immediate free recall; CVLT-LD, CVLT long delayed free recall; MMSE, Mini-Mental State Examination; TMT-A, Trail-Making Test-A; TMT-B, Trail-Making Test-B; −2LL/DF, −2*log likelihood/Degree of Freedom. Significant p-values indicate better model fit over the previous model, e.g., for CVLT-IMM, a one change-point model has a better fit than a no change-point model and a two change-point model has better fit than a one change-point model.