Sample Design: Sample Frame: Target Population
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Sample design: Two stage sample design was adopted following assumption to get reliable estimate and achieve the objectives. The main objectives are to find actual vital and migration registration numbers among total events occurred in the society. In addition to know the trend of vital registration system in last three years. Sample Frame: Sample frame of CRVS survey was constructed from National Population census 2011. This frame has aggregated ward wise information about House Number, Household Number, and male, female and total population. However the provided frame was based on 2011 administrative boundaries which were reconstructed into new existing administrative boundaries having 217 municipalities. Here basically wards are our enumeration area (EA). Target population: There are often several target populations in household surveys. In CRVS survey, the following events occurred in last three years were our target population. (1) Children less than three years, (2) Households having death, (3) Married couple, (4) Divorce persons, (5) In & out migrated household and (6) Adoption of Children. Sample size depends also on the target population so that the calculation of the sample size must therefore take into consideration each of the target populations. The resulting sample size was considerably larger than that needed for a target group comprised of all persons or all households. Domains: Major significant factor that has a large impact on the sample size is the number of domains. Domains are generally defined as the analytical sub-groups for which equally reliable data are wanted. Domains of study were 15 ecological development areas and Kathmandu valley altogether 16 domains. Poilot survey: Before determining the sample size, some of required parameter should be known and updated. In order to achive above objective, a pilot survey was conducted in Tapalejung, Sunsari, Sindhuli, Kaski, Kailali and Bajhang district, which represents two districts in each ecological belt (Mountain, Hill and Tarai). 900 households were intervied in urban areas whereas 1000 households were intervied in rural areas for investigation of vital events occur and their registration period. Sample size calculation: The calculation formula for determining the sample size, taking into account of the previously- discussed parameters. Because we are focusing on household surveys the sample size is calculated in terms of the number of households that must be selected. The estimation formula for the sample size, nh , was Where, nh is the parameter to be calculated and is the sample size in terms of number of households to be selected; z is the statistic that defines the level of confidence desired; r is an estimate of a key indicator to be measured by the survey; f is the sample design effect, deff, assumed to be 2.0 (default value); k is a multiplier to account for the anticipated rate of non-response; p is the proportion of the total population accounted for by the target population and upon which the parameter, r, is based; Hz is the average household size (number of persons per household); e is the margin of error to be attained. After using adjustment of finite population correction factor, final sample size of domains was 80000 households. Sample selection and Sample allocation: In the first stage, probability proportional to size (PPS) sampling scheme was adopted to select the enumeration area (EA) and required number of households was enumerated from selected EAs in final stage. Enumeration areas (EAs) were defined as wards or, in cases where wards contained less than 50 households, combinations of wards. In cases of very large wards, smaller segments were prepared for making sizable EAs. For such wards, the block maps prepared during the 2011 population census were used. First of all, the urban and rural EAs were arranged according to their respective domain with household number. The selection of EAs were done by using probability proportional to size sampling scheme number of household as measure of size. In urban area 673 EAs and rural 927 EAs, altogether 1600 EAs were selected from 75 districts to further investigation. In each selected EA, 50 households were listed stating from north east corner of EA. If listed household having any vital and migration events in last three years then main questionnaire will be asked to that particular households. Selected enumeration areas are given in Annex 1. Estimation: The parameters of variables were estimated at ecological development region first, and national estimates were obtained by aggregating across all 15 ecological development region and Kathmandu Valley. Estimation for Ecological Development Region: Estimate of the average value of characteristic X per event such as birth, death, marriage, migration and adoption of child registered in EA i and ecological development region h is given by, Where, mhi= number of sample event occurred in EA i and ecological development region h. xhij= value of characteristic X for event registered j in EA i and ecological development region h. The estimate of average characteristic X in ecological development region h is given by, Where, = Total number of selected EAs in ecological development region h. Estimation for National level : The average value of characteristic X per event is given by: = Where, = Total number of events registered in ecological development region h. = Total number of occurred in ecological development region h. Annex: 1 Sample distribution of number of EAs and households by Urban/Rural Urban Rural Eco-Development No of No of Region No of EAs Households No of EAs Households Eastern Mountain 7 350 19 950 Eastern Hill 24 1200 78 3900 Eastern Terai 101 5050 134 6700 Central Mountain 6 300 30 1500 Central Hill 31 1550 87 4350 Central Terai 94 4700 148 7400 Western Mountain 0 0 5 250 Western Hill 68 3400 131 6550 Western Terai 55 2750 57 2850 Mid-Western Mountain 4 200 19 950 Mid-Western Hill 19 950 78 3900 Mid-Western Terai 38 1900 48 2400 Far-Western Mountain 4 200 21 1050 Far-Western Hill 10 500 38 1900 Far-Western Terai 36 1800 29 1450 Ktm Valley 176 8800 5 250 Nepal 673 33650 927 46350 Eco-Development Sample Region Households 1300 Eastern Mountain 5100 Eastern Hill 11750 Eastern Terai 1800 Central Mountain 5900 Central Hill 12100 Central Terai 250 Western Mountain 9950 Western Hill 5600 Western Terai 1150 Mid-Western Mountain 4850 Mid-Western Hill 4300 Mid-Western Terai 1250 Far-Western Mountain 2400 Far-Western Hill 3250 Far-Western Terai 9050 Ktm Valley 80000 Nepal Table 2. Distribution of Households, Population of Urban/Rural by Ecological Development Urban Rural Total Ecological Number of TOTAL Number of TOTAL Number of TOTAL S.No. Development Households (Population) Households (Population) Households (Population) 1 Eastern 22190 97150 62728 294939 84918 392089 Mountain 2 Eastern Hill 80008 350651 266563 1250696 346571 1601347 3 Eastern Terai 344364 1700812 455652 2253179 800016 3953991 4 Central 19757 82559 102397 435096 122154 517655 Mountain 5 Central Hill 105845 494879 295559 1434961 401404 1929840 6 Central Terai 320744 1749619 504966 3054598 825710 4804217 7 Western 4834 19990 4834 19990 Mountain 8 Western Hill 234082 1174414 446608 1903037 680690 3077451 9 Western Terai 188222 964031 195809 1188517 384031 2152548 10 Mid-Western 4005 20371 64897 368342 68902 388713 Mountain 11 Mid-Western 64324 292016 267829 1395481 332153 1687497 Hill 12 Mid-Western 131129 648367 163235 842900 294364 1491267 Terai 13 Far-Western 11820 60737 71492 402608 83312 463345 Mountain 14 Far-Western 32617 163540 129410 698675 162027 862215 Hill 15 Far-Western 125389 754332 99243 562334 224632 1316666 Terai 16 Kathmandu 598985 5940676 15971 75261 614956 6015937 Valley 17 Nepal 2283481 14494154 3147193 16180614 5430674 30674768 Table 3. Selected Enumeration areas (ward/sub wards) by district S.N ECO_DEVELOPMEN URB_RU War HOUSEHOL o T DISTRICT Name R V_M Name d D NO Taplejung 1 Eastern Mountain Taplejung 1 Municipality 4 969 Sankhuwasabh Khandbari 2 Eastern Mountain a 1 Municipality 13 666 Dudhakunda 11 Eastern Mountain Solukhumbu 1 Municipality 6 469 Sankhuwasabh Khandbari 9 Eastern Mountain a 1 Municipality 5 372 Sankhuwasabh Chainpur 9 Eastern Mountain a 1 Municipality 3 321 Sankhuwasabh Chainpur 9 Eastern Mountain a 1 Municipality 2 268 Sankhuwasabh 9 Eastern Mountain a 1 Madi Municipality 13 192 11 Eastern Mountain Solukhumbu 2 Sotang 6 248 1 Eastern Mountain Taplejung 2 Hangdewa 1 171 11 Eastern Mountain Solukhumbu 2 Sotang 9 149 Sankhuwasabh 9 Eastern Mountain a 2 Sitalpati 8 136 Sankhuwasabh 9 Eastern Mountain a 2 Syabun 4 124 Sankhuwasabh 9 Eastern Mountain a 2 Makalu 8 114 11 Eastern Mountain Solukhumbu 2 Necha Batase 1 109 11 Eastern Mountain Solukhumbu 2 Tingla 8 100 Sankhuwasabh 9 Eastern Mountain a 2 Matsya Pokhari 4 93 1 Eastern Mountain Taplejung 2 Sanghu 4 85 11 Eastern Mountain Solukhumbu 2 Pawai 6 79 11 Eastern Mountain Solukhumbu 2 Jubing 3 73 11 Eastern Mountain Solukhumbu 2 Takasindu 9 67 Sankhuwasabh 9 Eastern Mountain a 2 Mamling 3 61 11 Eastern Mountain Solukhumbu 2 Goli 8 55 Sankhuwasabh 9 Eastern Mountain a 2 Hatiya 5 50 11 Eastern Mountain Solukhumbu 2 Khumjung 3 44 1 Eastern Mountain Taplejung 2 Sadewa 6 36 11 Eastern Mountain Solukhumbu 2 Panchan 7 25 Phidim 2 Eastern Hill Panchthar 1 Municipality 1 2131 Dhankuta 7 Eastern Hill Dhankuta 1 Municipality 1 1771 Triyuga 14 Eastern Hill Udayapur 1 Municipality 1 1585 Dhankuta 7 Eastern Hill Dhankuta 1 Municipality 7 1505 Triyuga 14 Eastern Hill Udayapur 1 Municipality 8 1058