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Exact(14)
For the adjusted models, all variables that were found to be significantly different during baseline bivariate comparisons were used as control variables.
In the logistic regression models, all variables in Table 12 have been coherently considered as regressors, including the teachers group, whereas the binary outcome variable was changed depending on the specific aspect under analysis.
Using a backwards elimination approach to avoid underfitting the models, all variables were initially added to the models.
For multivariate models, all variables associated with the endpoint (P<0.2) were entered, with age and gender forced into the model.
In univariate models, all variables were statistically significantly associated with the outcome.
In multivariate models all variables were mutually adjusted for each other.
Similar(46)
In the first model, all variables were normal.
In the model, all variables with skewed distributions were converted through natural logarithm to approximate normality.
The resulting model (all variables costing model - AV-CM) had an R2 of 0.98 and an adjusted R2 of 0.97.
To test the full structural model, all variables were entered into the model simultaneously.
In the fully adjusted model, all variables were entered simultaneously.
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