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Because the percentage of respondents who did not indicate news exposure was significant (84 %), it was important to use an adequate model to account for both sample selection and ordered responses.
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In addition, the integrity of the results was also ensured with additional checks for the effects of both sample selection bias and unobserved heterogeneity.
The main difference between these two strategies is the use of stratification in the design-based approach (both for sample selection and as a regression variable) compared to use of balanced sampling in lieu of stratification with the model-based approach.
Both study series differed in methods of sample selection and approaches to examiner training.
Methods of sample selection and recruitment were similar for both studies and have been published [ 14, 15].
Weighted for sample selection and attrition.
Section 4 addresses sample selection and corresponding statistics.
These findings are robust across different sample selection and model specification strategies.
An overview of the survey procedures, sample selection and administration is given here.
Prominent two-step models are the Heckman sample selection and the double hurdle models.
This restriction might impose sample selection and exclude more traditionally focused households.
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