The previously
described multilevel models were used to test our hypothesis that daily received instrumental and emotional support would predict more daily positive mood and less daily negative mood, and that the number of support services received would predict lower levels of daily negative mood.
Not exact matches
We use probit
models in these regressions because we can run these as
multilevel models, which we
describe briefly below.
Finally, we
describe the results of our
multilevel probit
models, which considered each brief's raw readability score without regard to the opposing brief's readability.
Table 3
describes the estimated effects of the CfC initiative on the 19 outcome variables from
multilevel models with demographic variables and
multilevel models with demographic variables and the baseline as a control.
Next, we
describe the existing AR and TAR
models and we present the basic
multilevel TAR
model for state - dependent regulation.
We used the program MLwiN for conducting
multilevel analysis and used an adapted set up,
described by Hox (2002) to make our
models suitable for meta - analysis.