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To adjust for the effect of the survey design (strata and clustering), re-analyses were conducted with STATA 9.0 using the svylogit command.
Based on the present results, gender does not play a systematic role in the magnitude of the effect of the survey method for the KINDL.
As the interaction between survey period and social status was highly significant, the effect of the survey period on current MHT use was estimated in separate multivariate logistic regression models stratified by social status.
One consequence of the small sample size was an inability to use bootstrap analysis, which meant we could not take the design effect of the survey into account when calculating the estimators.
In order to estimate the independent effect of the survey period on current MHT use, a full model was fitted, pooling data from both surveys and adding the survey period (2003 2004 survey vs. 1997 1999 survey) as the independent variable of main interest.
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While no explicit analysis of the effects of the survey design on subgroups of the population has been performed in this research, the differentiation between subgroups of respondents can be inferred from the model parameters, which can be interpreted as follows.
The effects of the survey design factors on response were examined using multivariate logistic regression.
The separate analyses can demonstrate effects of the survey method at a lower level of probability, but this limits the ability to interpret these effects.
Although the response rate was high (68%) for this kind of design, the results may be biased by the effects of the survey design.
This provides valid inference accounting for effects of the survey design, which was based on cluster sampling by household, and biases in the provision of blood samples.
Age, gender, education level, race and hospital system were not found to be significant predictors Random Forests helped identify the separate effects of the survey questions within the facet of the five constructs.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com