Table 3. Parameter estimates from generalized linear mixed model for predicting participants’ performance after having seen the video multiple times.
Covariates | Estimate | SE | z | p |
---|---|---|---|---|
Intercept | 0.80 | 0.27 | 2.95 | 0.003 |
Direction of information | 1.69 | 0.23 | 7.40 | <0.001 |
Frequency net | 0.60 | 0.16 | 3.64 | <0.001 |
Direction of information ⨯ frequency net | -0.74 | 0.17 | -4.35 | <0.001 |
Sequence of the task | 0.15 | 0.16 | 0.92 | 0.36 |
Age | -0.52 | 0.27 | -1.96 | 0.05 |
Gender | 0.29 | 0.26 | 1.12 | 0.26 |
Frequency of watching the video | 0.08 | 0.19 | 0.42 | 0.67 |
Remark: Other possible covariates (such as context of the task (via dummy coding) or highest level of education) were not significant predictors (like gender was also no significant predictor in the model), when implementing in the model.