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Further, most models are limited to quantitative data and dichotomous operationalization of variables.
While studies differed with regards to the operationalization of variables for knowledge, attitude, and behavior outcomes, data collection and instruments used to assess change over time were fairly similar across studies.
Assuming they would have selected the Mazmanian and Sabatier model [ 42], this would have led to the careful operationalization of variables and data to be collected – rather than drawing on a fairly randomly selected collection of informants and media expressions.
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While the operationalization of the variables may change based on the results of factor analyses, all possible items for each of the variables were considered for inclusion.
Below is the operationalization of these variables.
We defined the operationalization of the variables based on the definition of scientific uncertainty at the beginning of this paper.
Subsequently, we explicate our data, the operationalization of the variables used in the multivariate analyses, and the statistical procedure.
Other limitations relate to the operationalization of outcome variables.
Adequate operationalization and selection of variables representing the Andersen model was ensured by considering Andersen's own suggestions [ 8] as well as the results of literature reviews by de Boer [ 25] and Babitsch [ 21], which were both largely based on the framework of Andersen's behavioral model.
Before operationalization of any explanatory variables occurred, non-linear relationships between the three dependent variables and independent variables (e.g, age, health status, and chronic conditions) were first confirmed.
That could result from possible confounding variables in naturalistic settings or from aspects of the operationalization of the situational variables but it seems to be worthwhile to be investigated in future research by attempting to replicate the findings under controlled conditions and using other situational variables.
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