Table 5.1.
Results of the linear mixed effect analyses
Unimanual bouts (probability of occurrence) | R2 = 0.59 | ||
---|---|---|---|
Fixed Effects | |||
Name | Estimate (± SE)a | t-stat (df = 66) | p-value |
Interceptb | −1.22 (± 0.97) | 1.26 | .212 |
Change (per month) | −0.24 (± 0.18) | 1.35 | .181 |
Random Effects | ||
---|---|---|
Name | Type | Estimate |
Intercept | SD | 2.44 |
Intercept x Change | R | −0.85 |
Change | SD | 0.44 |
Residual | 1.00 | |
Bimanual bouts (count) | R2 = 0.33 | ||
---|---|---|---|
Fixed Effects | |||
Name | Estimate (± SE)c | t-stat (df. = 66) | p-value |
Interceptb | 2.34 (± 0.25) | 9.31 | < .001 |
Change (per month) | −0.02 (± 0.03) | 0.56 | .576 |
Random Effects | ||
---|---|---|
Name | Type | Estimate |
Intercept | SD | 0.63 |
Intercept x Change | r | −0.87 |
Change | SD | 0.08 |
Residual | 1.00 | |
Time per bout (s) | R2 = 0.52 | ||
---|---|---|---|
Fixed Effects | |||
Name | Estimate (± SE)c | t-stat (df = 66) | p-value |
Interceptb | 1.48 (± 0.14) | 10.66 | <.001 |
Change (per month) | 0.04 (± 0.01) | 3.28 | .002 |
Random Effects | ||
---|---|---|
Name | Type | Estimate |
Intercept | SD | 0.28 |
Change | SD | < .001 |
Residual | 1.90 |
These estimates are not the probabilities. These are the outcome from the GLME. The probabilities are derived by plugging these values into the logistic function;
The intercept is considered at the 15th month of age;
These estimates are not the number of bouts or seconds. These are the outcome from the GLME. The real values are derived by plugging these values on the exponential function;