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IPS280 VEUN, Thy et al.
            4.  Conclusion
                The results suggest that further stratification within the province (in this
            case, five strata were stratified within the province) greatly reduce the sample
            size requirements for those provinces as well as the whole country. Among the
            three  methods  of  the  stratum  boundary  determination,  LHK  provided  the
            boundaries  with  the  smallest  sample  size  requirement,  whereas  the
            boundaries of GGH requires the largest sample size. Only the sample sizes at
            the required levels of three and five-percent CVs are considered feasible in
            practice since it is too costly to consider the sample sizes produced by one-
            percent CVs. In the estimation of rates for the common and the less common
            characteristics  such  as  employment  rate  and  adult  literacy  rate  with  the
            proportion as low as 40%, both the LHK and CDH methods at the required
            level of five-percent CV are acceptable in terms of both cost and precision.
            One can choose the CDH method if precision is more important than cost. The
            sets of sample under the CDH method generally exhibit higher precision in the
            estimation than those under the LHK method, but with larger sample size than
            those of the LHK method. If the survey variables are highly correlated with the
            number of households in each village, the sampling designs that have been
            proposed in this study can be considered. For multipurpose household survey,
            such as the CSES, multivariate stratification shall be incorporated through the
            application of multi-stratification variables in the further stratification within
            the provinces if such variables are available for all elements in the studied
            population. Use different variables for the stratification variable and the size
            measure  if  such  variables  are  available  for  all  elements  in  the  studied
            population to ensure the appropriate gain from these survey techniques.

                Table 3. Distributions of CVs of Estimated Employment Rate and Adult
                                     Literacy Rate by Provinces
                                 Distribution of Estimated Coefficient of Variation (CV)
              Province           LHK 5% Samples                 CDH 5% Samples
               Name      Employment Rate     Literacy Rate  Employment Rate    Literacy Rate
                          < 5%    5-10%   < 5%   5-10%    < 5%    5-10%    < 5%   5-10%
              Banteay      100       -     100     -      100       -     100     -
             Meanchey
             Battambang    100       -     100     -      100       -     100     -
              Kampong      100       -     100     -      100       -     100     -
               Cham
              Kampong      100       -     100     -      100       -     100     -
              Chhnang
              Kampong      100       -     96.9    3.1    100       -     100     -
               Speu
              Kampong      100       -     100     -      100       -     100     -
               Thom
              Kampot      87.5     12.5    87.5    12.5    92.2    7.8    98.4    1.6
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