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. Author manuscript; available in PMC: 2017 Aug 16.
Published in final edited form as: J Abnorm Psychol. 2013 Aug;122(3):770–781. doi: 10.1037/a0032980

Table 3.

Hierarchical Generalized Linear Model Predicting Duchenne Smile Duration from Alcohol and Autocorrelation (Smiling During Previous Time Interval)

Fixed Effects
B ERR t-ratio p-value
Intercept −2.8447 0.0581 −26.01 <.0001
Autocorrelation 1 1.8286 6.2252 35.92 <.0001
Alcohol 0.5092 1.6640 6.11 <.0001
Alcohol*Autocorrelation −0.3688 0.6916 −4.43 <.0001
Linear Time 0.001 1.0010 0.72 0.4703
Quadratic Time −.000005 0.999995 −1.13 0.2581
Random Effects
Estimate Standard Error
Intercept Variance 0.5218 0.0392
Between-Subject2 Intercept Covar 0.2625 0.0369
Autocorrelation Variance 0.4499 0.0492
Between-Subject Autocorr Covar 0.2026 0.0416
Within-Subject Autocorr-Intercept Covar −0.4613 0.0405
Between-Subject Autocorr-Intercept Covar −0.2246 0.0365
Residual Variance 0.1185 0.0015
Between-Subject Residual Covar 0.1716 0.0010
1

Autoregressive coefficient at lag 1—subject’s Duchenne smiling duration at time t−1 entered as a predictor of smiling at time t.

2

Between-subject covariance refers to the covariance in scores between the three members of the same group.