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The three-stage weight was calculated briefly as follows: 1/[probability of sampling provinces]×[probability of sampling districts]×[probability of sampling subjects]].
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The probability of sampling provinces was estimated by the number of sample provinces divided by the total number of provinces in that stratum (region).
We discuss and show that the 16 sample provinces are quantitatively similar to all provinces in Section 4.5.2.
Figure 4 illustrates the enforcement of the minimum wage across our 16 sample provinces between 2002 and 2009.
To check the representativeness of our 16-province UHS sample, we use the 2005 Census to compare descriptive statistics of the 16 sample provinces with the 15 provinces not in the sample.
To address this concern, we utilize the 2005 Census data to compare descriptive statistics of the 16 sample provinces with the 15 provinces not in our sample, along with the entire census sample.
We check the representativeness of our 16 sample provinces by comparing the descriptive statistics of the UHS with those of the 2005 Census and report the comparisons in Table 9.
An increase in community support for ALCs, and in particular for girls' education, was found across all sampled provinces.
The document review included study of archives and the examination of numerical data resulting from the PUA/PIA process, with focus on the three sample provinces and the two financial years of PUA/PIA operation to-date.
Within each sampled province, all nurses at the provincial hospital were recruited for inclusion in the study.
The probability of sampling districts was calculated by the number of sample districts divided by the total number of districts in the sample province.
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