Sampling

Sampling Procedure

Regions were identified as the main sampling domains and the sample was selected in two stages. The sample was stratified by urban and rural areas (which represent second level territorial and administrative units). 1999 Population Census enumeration areas were selected as Primary Sampling Units (PSUs). The number of primary sampling units (PSUs) for oblast and main cities depended on the total population at the beginning of 2005. 

At the first stage, mentioned number of PSUs was randomly selected for each stratum. In general, 625 PSUs were selected within the country. At the second stage, 24 households were systematically selected in each sampled primary sampling unit. Thus, total number of sampled households made 15,000. 

The sample was stratified by region and is not self-weighting. For reporting national level results, sample weights are used.

For more information on the sampling design please see the sampling design document under the technical documents folder.

Deviation from Sample Design

No major deviations from the original sample design were made.  All sample enumeration areas were accessed and successfully interviewed with good response rates.

Response Rates

Of the 15,000 households selected for the sample, 14,984 were found to be occupied. Of these 14,564 were successfully interviewed for a household response rate of 97.2 percent. In the interviewed households, 14,719 women (age 15-49) were identified. Of these, 14,570 were successfully interviewed, yielding a response rate of 99.0 percent. In addition, 4,424 children under age five were listed in the household questionnaire. Of these, questionnaires were completed for 4,416, which correspond to a response rate of 99.8 percent. Overall response rates calculated for the interviews of women 15-49 years of age and children under-5 were 96.2 and 97.0 percents respectively.
Household response rates in rural areas were higher than in urban - 99.4 and 95.6 percent respectively. Overall household response rate throughout the country was high and varied from 91.6 percent in Almaty City up to 99 percent in Zhambyl Oblast.

Weighting

Sample weights were calculated for each of the datafiles.  

Kazakhstan Multiple Indicator Cluster Survey sample is not self-weighted. Essentially, by allocating equal numbers of households to each of the regions, different sampling fractions were used in each region since the size of the regions varied. For this reason, sample weights were calculated and these were used in the subsequent analyses of the survey data. 

Sample weights for the household data were computed as the inverse of the probability of selection of the household, computed at the sampling domain level (urban/rural within each region).  The household weights were adjusted for non-response at the domain level, and were then normalized by a constant factor so that the total weighted number of households equals the total unweighted number of households.  The household weight variable is called HHWEIGHT and is used with the HH data and the HL data.

Sample weights for the women's data used the un-normalized household weights, adjusted for non-response for the women's questionnaire, and were then normalized by a constant factor so that the total weighted number of women's cases equals the total unweighted number of women's cases.

Sample weights for the children's data followed the same approach as the women's and used the un-normalized household weights, adjusted for non-response for the children's questionnaire, and were then normalized by a constant factor so that the total weighted number of children's cases equals the total unweighted number of children's cases.
Generated: APR-28-2008 using the IHSN Microdata Management Toolkit