Sentence examples for representativeness over from inspiring English sources

The present analysis provides evidence for response representativeness over the survey periods, despite the parallel changes in compliance.

For example, there are likely to be problems associated with measurement, non-response and changes in representativeness over time and age.

Typical two stage samples to achieve representativeness would include over 100 local level sampling points.

To clarify the validity and representativeness of sales of over-the-counter diarrheal remedies available through the National Retail Data Monitor (NRDM) for prospective outbreak detection, we sought to determine if these data are related to known outbreaks of infectious gastrointestinal illness in the drinking water service area [ 10].

At the Comparison schools the response rate was less important (overall around 25% of IEC students sampled) as the sample was recruited to try to minimise difference in demographic characteristics between this sample and the FUn group, prioritising comparability over representativeness.

For chi-square tests, under- or over-representativeness was assessed using adjusted standardised residuals set at ±2.0.

Conversely, the over-representativeness of the older people might be reasonably due to their perception for the need to clinical check-up, especially when counseling by a cardiologist was provided freely.

The different representativeness of the sample over total world trade does not necessarily imply a bias in the results of the econometric model, since the only factor it involves is that there are fewer observations of countries specialized in basic products; nevertheless, we believe they that they are sufficient and that the representativeness of the sample is high.

However, there are concerns over the representativeness of these findings considering the small number of stores that received tags (n = 2) and the limited time period over which tag effectiveness was assessed (1 week pre-intervention and up to 6 weeks post intervention).

Assigning exposures to these respondents allows for a larger study population and may reduce concern over its representativeness by including more persons outside of urban areas.

In our analysis, weights were used to restore representativeness of the sample that was over-sampled and to adjust for non-response rates that varied from one geographical region to another [ 22].