Sampling

Sampling Procedure

The principal objective of the sample design was to provide current and reliable estimates on a set of indicators covering the four major areas of the World Fit for Children declaration, including promoting healthy lives; providing quality education; protecting against abuse, exploitation and violence; and combating HIV/AIDS.  The population covered by the 2005 MICS is defined as the universe of all women aged 15-49 and all children aged under 5.  A sample of households was selected and all women aged 15-49 identified as usual residents of these households were interviewed.  In addition, the mother or the caretaker of all children aged under 5 who were usual residents of the household were also interviewed about the child.

The 2005 MICS collected data from a nationally representative sample of households, women and children.  The primary focus of the 2005 MICS was to prodvide estimates of key population and health, education, child protection and HIV related indicators for the country as a whole, and for urban and rural areas separately.  In additon, the sample was designed to provide estimates for each of the 3 regions (South, Central and North) for key indicators.  

Each region in Montenegro is subdivided into municipalities.  Each municipality is divided into settlements and each settlement into enumeration areas. In total Montenegro includes 21 municipalities, 1256 settlements and 3201 enumeration areas.  The sample frame for this survey was based on the list of enumeration areas developed from the 2003 population census.

The primary sampling unit (PSU), the cluster for the 2005 MICS, is defined on the basis of the enumeration areas from the census frame.  Census enumeration areas (app. 100 households) were defined as primary sampling units (PSUs), and were selected from each of the sampling domains by using systematic pps (probability proportional to size) sampling procedures, based on the estimated sizes of the enumeration areas from the 2003 Population Census

A stratified, two-stage random sampling approach was used for the selection of the survey sample. 

Regions were identified as the main sampling domains and the sample was selected in two stages. Within each region, 141 census enumeration areas were selected with probability proportional to size. Based on updated data from the last census (2003), those units were divided into clusters of 18 households on average. Important factor, which influenced on sample design, is very low fertility rate and small number of household members. For example, one generation of born children makes less than 2 percent of population, and average number of household members is 3.4. Due to these facts, we stratified the households in selected enumeration areas to two strata. One stratum contained households with children, and the other one contained households without children. Allocation of sample in the stratum of households with children was significantly bigger than allocation of sample in the stratum of households without children.

After a household listing was carried out within the selected enumeration areas, a systematic sample of 2,575 households was drawn. The sample was stratified by region and two more strata: households with children and household without children, and is not self-weighting. For reporting national level results, sample weights are used.

Following standard MICS data collection rules, if a household was actually more than one household when visited, then a) if the selected household contained two households, both were interviewed, or b) if the selected household contained 3 or more households, then only the household of the person named as the head was interviewd.

The Montenegro Multiple Indicator Cluster Survey sample is not self-weighted.  For reporting of national level results, sample weights were used, according to MICS standard procedures.

The sampling procedures are more fully described in the sampling design document and the sampling appendix of the final report.

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 2,575 households selected for the sample, 2,494 were found to be occupied. Of these, 2,358 were successfully interviewed for a household response rate of 95 percent. The household response rate was higher in the North (97 percent) than in the Central and in the South (93 percent). In the interviewed households, 2,385 women (age 15-49) were identified. Of these, 2,258 were successfully interviewed, yielding a response rate of 95 percent. The women response rate was higher in the Central and North region (95 percent) than in the in the South (93 percent). In addition, 1,072 children under age five were listed in the household questionnaire. Questionnaires were completed for 1.061 of these children, which corresponds to a response rate of 99 percent. This response rates are very similar across the regions. Overall response rates of 90 and 94 are calculated for the women's and under-5's interviews, respectively.

Weighting

Sample weights were calculated for each of the datasets.  

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.  

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.

The household weight variable is called HHWEIGHT and is used with the household data. Same weight is applied to the household listing data. Women and children weights are called WMWEIGHT and CHWEIGHT and are used in women and children data, respectively.
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