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. 2018 May 7;9:561. doi: 10.3389/fpsyg.2018.00561

Table 2.

Cross-classified random effects linear regression models.

Facial Attractiveness Facial Distinctiveness


M1 M2 M1 M2
Age of Perceiver (Young)
    Middle-Aged 5.271 -1.019
    Older 9.614∗∗∗ -4.308
Age of Face (Young)
    Middle-Aged -10.775∗∗∗ -0.521
    Older -16.995∗∗∗ 1.597
Gender of Perceiver (Male)
    Female -0.926 -3.497
Gender of Face (Male)
    Female 5.434∗∗∗ 1.276
Emotion of Face (Neutral)
    Happy 5.987∗∗∗ 5.681∗∗∗
    Sad -6.627∗∗∗ 2.717∗∗∗
    Angry -9.357∗∗∗ 4.956∗∗∗
    Fearful -9.697∗∗∗ 9.381∗∗∗
    Disgusted -12.118∗∗∗ 6.802∗∗∗
Facial Attractiveness 0.387∗∗∗
Rating Count (Per Session) 0.097∗∗∗ -0.005
Rating Count (Per Session) Squared -0.000∗∗∗ 0.000
Constant 36.726 39.863 40.155 23.587∗∗∗
    SD Perceivers 15.040 14.449 14.709 11.240
    SD Faces 9.347 5.496 5.065 3.464
    SD Sessions 5.454 5.442 6.713 6.082
    SD Residual Error 16.741 15.500 16.508 15.103
    N Observations 134,942 134,942 134,942 134,942
    N Perceivers 154 154 154 154
    N Faces 171 171 171 171

M1 = Error-components model; M2 = Model including predictor variables. p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001.