Skip to main content
. Author manuscript; available in PMC: 2015 Feb 25.
Published in final edited form as: Am Econ J Microecon. 2014 May;6(2):1–36. doi: 10.1257/mic.6.2.1

Table 1.

Predictive accuracy for choices involving new items, within subject.

Predicted probability of the more likely item LPM
Subject Success rate Mean Std dev p-value for bias Slope Std err. of slope
11 0.66*** 0.663 0.138 0.966 0.966 0.485

12 0.52 0.702 0.156 0.013** 0.550 0.459

13 0.62** 0.728 0.143 0.090* 1.579 0.434
14 0.66*** 0.768 0.133 0.126 0.133 0.517

15 0.58 0.711 0.128 0.074* 0.230 0.559
16 0.52 0.742 0.147 0.005*** -0.075 0.494
17 0.58 0.730 0.136 0.050* -0.325 0.527

18 0.76*** 0.738 0.141 0.726 0.393 0.437

19 0.54 0.733 0.142 0.014** -0.332 0.508
20 0.58 0.692 0.148 0.114 0.698 0.476

21 0.62** 0.748 0.140 0.070* 0.517 0.499
22 0.72*** 0.697 0.130 0.727 0.381 0.501
23 0.68*** 0.717 0.144 0.567 0.955 0.454
24 0.70*** 0.763 0.118 0.320 1.328 0.544

25 0.44 0.760 0.145 0.000*** -0.420 0.494
26 0.52 0.733 0.141 0.007*** -0.312 0.515

27 0.72*** 0.738 0.155 0.761 1.114 0.392

Group Mean 0.613*** 0.727 0.140 < 0.001*** 0.434 0.488
Std. Dev. 0.089 0.028 0.010 0.615 0.043

Notes: Based on an initial voxel selection threshold of 0.01. Asterisks are used to denote statistical significance only in the columns for “success rate” (difference from uninformed benchmark of 0.50, binomial test for individual rates, 1-sided t-test for group mean rate) and “p-value for bias” (difference between success rate and mean predicted probability, two-sided t-test), as follows:

*

denotes p<0.1;

**

denotes p<0.05;

***

denotes p<0.01. “Success rate” is the frequency with which the item with highest predicted choice probability in each pair was actually chosen; “p-value for bias” refers to the test statistic for the hypothesis that the success rate equals the mean predicted probability, and “LPM” refers to a simple linear probability model relating a success indicator to the predicted probability. “Group Mean” is the mean of within-subject means, and “Std. Dev.” is the standard deviation of within-subject means.