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We also analyzed associations and correlations between all survey variables.
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This allows us to identify the relationship between the traditional survey variables and our revealed preference measure (migration) and show the impact of the additional explanatory variables.
Groves [ 1] finds that covariance between survey variables and response propensities are highly variable across items within a survey, survey conditions, and populations.
No relationship between any of the survey variables and high or low case-fatality rate was observed.
Relationships between all the variables were examined.
The PCA shows correlations between all the variables (Fig. 4a).
When auxiliary information is exploited, the performance tends to improve as the correlation between auxiliary and survey variable increases.
Finally, the evaluation survey variables will be described for the professionals using a univariate descriptive analysis, as well as a bivariate analysis where associations will be evaluated two by two between survey variables and the variables that define the profile of the professionals (secondary objective).
All the study variables were used for comparisons between groups.
(DOCX 27 KB) 13717_2012_14_MOESM2_ESM.docx Additional file 2 Bivariate relationships between all predictor variables.
We expected autocorrelation between all five variables.
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