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. 2018 Jan 30;12:5. doi: 10.3389/fnbeh.2018.00005

Table 7.

Ordered logit regression of 2D:4D on under/over-confidence.

Both genders Women Men
I II III IV I II III IV I II III IV
Average digit ratio 7.019** 7.237* 7.115* 6.913* 3.797 3.227 2.544 2.388 8.440* 10.039** 10.042** 11.221**
(3.58) (3.95) (4.00) (4.19) (6.68) (6.92) (6.97) (7.18) (4.80) (4.42) (4.40) (4.98)
Gender: Male = 1 0.193 0.317* 0.336* 0.327* . . . . . . . .
(0.22) (0.19) (0.18) (0.17) . . . . . . . .
Familiarity with task −1.280*** −1.265*** −1.264*** −1.093* −1.099* −1.081* −1.404*** −1.401*** −1.478***
(0.31) (0.31) (0.31) (0.59) (0.59) (0.58) (0.40) (0.41) (0.42)
Math degree −0.122 −0.133 −0.268 −0.26 −0.012 −0.07
(0.30) (0.30) (0.40) (0.42) (0.43) (0.45)
Risk attitude index 0.009 0.022 −0.061
(0.08) (0.09) (0.13)
Self−efficacy −0.038 −0.013 −0.098*
(0.03) (0.05) (0.06)
Observations 247 245 244 244 128 128 128 128 119 117 117 116

This table shows Ordered Logit Regressions of a variable that takes value 0 if Predicted < Actual Performance, 1 if Predicted = Actual Performance and 2 if Predicted >Actual Performance on the 2D:4D digit ratio. All regressions include sessions fixed effects and robust standard errors clustered by session are reported in brackets.

***

significant at 1%,

**

significant at 5%,

*

significant at 10%.