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. 2011 Mar 11;12:27. doi: 10.1186/1471-2202-12-27

Table 1.

R2 of data fitting with logistic function

Exp2. Horizontal Ponzo Exp3. Vertical Ponzo Exp1. Ebbinghaus
Mono. Dich. Bino. Mono. Dich. Bino. Mono. Dich. Bino.

H.C. 0.9993 0.9980 0.9942 0.9881 0.9637 0.9705 0.9469 0.9901 0.9855

L.C. 0.9853 0.9848 0.9972 0.9616 0.9300 0.9943 0.9906 0.9945 0.9812

A.H. 0.9889 0.9840 0.9826 0.9988 0.9997 0.9987 0.9852 0.9539 0.9593

X.L. 0.9815 0.9704 0.9467 0.9983 0.9923 0.9826 0.9949 0.9778 0.9334

C.S. 0.9962 0.9962 0.9965 0.9900 0.9865 0.9966 0.9987 0.9952 0.9877

D.S.S. 0.9968 0.9933 0.9948 0.9879 0.9678 0.9860

R2 value of logistic fitting in illusion magnitude measurement is listed for each participant in each condition (monocular, dichoptic, binocular) of each illusion (Ponzo illusion in horizontal design, Ponzo illusion in vertical design, Ebbinghaus illusion). The R2 value reflects the goodness of the fit and justifies the use of logistic fitting to quantify the illusion magnitude.