A multilevel mixed - effects linear regression model with
an unstructured covariance matrix was used to test whether different patterns of financial difficulty were associated with subsequent changes in ADHD symptoms.
An unstructured covariance matrix was used to allow for the most flexible estimation of covariance parameters between each level of spouse, visit, and time.
Relationships between observations at different occasions will be modelled with
an unstructured covariance matrix.
From
an unstructured covariance matrix for the intercept and race effects, their correlation coefficient was calculated as
Not exact matches
The error
covariance matrix at level 1 (among the different measures of child problems) was modeled as
unstructured.