In weighted multivariate analysis, accounting for sampling design with the predictors age (as a continuous variable), regional health authority, gender, employment status and perceived economic status, only age remained significantly associated with interview time (Table 4).
The complexity of the algorithm for computing the hub and authority variables makes it virtually impossible to interpret these variables visually in a graph or sociogram.
The first three trust variables were also divided into another variable: (scientists, local authorities and national government), alpha = 0.81.
The chosen variables were decision authority, bullying, work ability index, and full-time/part-time sick leave at baseline.
Network coreness and network authority variables showed to be moderately associated with both the propensity to adopt EBM and geographical proximity of physicians, albeit with a different sign.
In the final model the classification was improved by eliminating the authority centrality variable, p =.451, betweenness centrality, p = .329, degree centrality, p =.454, eigenvector centrality, p =.854, hub centrality, p = .329, were also dropped due to their high residual probability.
The control variables for the regulatory authority are locations of hazmat response teams and which additional links to include for hazmat travel.
The quality of passively reported information obtained by the authorities is variable.
According to the participants, personal empowerment is dependent on three variables, these are "having authority" and "professional self-confidence" for the "application of professional knowledge and skills".
