Employing the path analytic model to examine relationships among variables, results indicate significant differences between study conditions and regression analyses show how patronage intentions were influenced.
Baseline characteristics to ascertain whether there were differences between study conditions and overall drop out by condition were summarised as percentages (or means) and compared between groups, with t tests for continuous variables and χ² tests for categorical variables.
A three-way interaction between study condition, steady-relationship change and sexual risk behaviour at pre-test did not reach statistical significance.
Participants trained on the task either with active medication or placebo on the day of training, crossed-over between study conditions.
Paired samples Student t-test was applied to assess any statistically significant difference between study conditions.
This suggests that the observed difference in UAI-change score between study conditions reflects a regression to the mean effect.
The low scores reported by most participants and the presence of outliers prevented meaningful statistical analysis of individual or composite scores between study conditions.
An important limitation of our study is the relatively small sample size, which limits our ability to detect small, but potentially clinically meaningful, differences between study conditions.
Accordingly, hierarchical linear models will be used for most analyses, enabling assessment of change over time as well as differences between study conditions.
The association between hospitalization for the three study conditions and infrastructural facility for physical activity is studied in a multivariate framework.
