Table 1.
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