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. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: Monogr Soc Res Child Dev. 2019 Jun;84(2):7–147. doi: 10.1111/mono.12405

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
a

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;

b

The intercept is considered at the 15th month of age;

c

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;