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. Author manuscript; available in PMC: 2016 Dec 1.
Published in final edited form as: Behav Res Methods. 2015 Dec;47(4):1136–1147. doi: 10.3758/s13428-014-0536-1

Table 2.

Standardized regression coefficients predicting the likelihood of correct automated annotation

AU Participant Variables
Video Frame Variables
Female Nonwhite Yaw Pitch Roll Pixel
1 0.01 −0.84 −0.01 0.05 0.09 −0.35
2 −0.18 −0.53 −0.22* 0.02 −0.03 −0.27
6 −0.53* 0.19 −0.08 −0.03 0.05 0.05
7 −0.26 0.07 −0.11 −0.00 −0.01 −0.13
10 −0.23 0.39 −0.13 −0.01 0.01 0.02
11 −1.29 0.66 −0.23* −0.03 0.11 −0.23
12 −0.29 0.16 −0.23** 0.04 0.00 0.14
14 0.17 −0.08 −0.01 −0.02 0.06 −0.19*
15 −0.73** −0.57 0.06 −0.11* 0.06 −0.18
17 −0.14 0.59* −0.03 −0.02 0.04 0.24
23 −0.24 0.15 −0.16** 0.02 0.04 0.16
24 −0.50 0.27 −0.19* 0.09 −0.00 0.24

Note: Standardized regression coefficients are in log-odds form.

*

p < .05

**

p < .01