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. 2021 Jul 13;32(2):301–325. doi: 10.1007/s12110-021-09404-w

Table 1.

Results of the GLMM including the following fixed factors: condition (factor variable: yawning video stimulus = 1; control video stimulus = 0), attention level (numeric variable: number of seconds the woman looked toward the video stimuli), video sequence (factor variable: YC = 1, CY = 2), time period (factor variable: 09:00 am–12:30 pm = 1; 12:30–16:00 pm = 2; 16:00–19:30 pm = 3). The identity of the potential responders (Responder) was included as random factor

Estimate SE z p
(Intercept)a  − 16.953 20.673 a a
Condition (Y)b,c      2.275   0.489     4.655  < .001
Attention      0.305   0.459     0.664    .507
Time period (2)b,c   − 0.976   0.631  − 1.546    .122
Time period (3)b,c   − 0.770   0.669  − 1.151    .250
Sequence (2)b,c      0.195   0.410     0.474    .635

Full vs. null model: χ2 = 34.997, df = 5, p < .001

a Not shown as not having a meaningful interpretation

b Estimate ± SE refer to the difference of the response between the reported level of this categorical predictor and the reference category of the same predictor

c These predictors were dummy coded, with Condition (C), Time period (1), Sequence (1) being the reference categories