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IPS280 VEUN, Thy et al.
                      sizes  calculated  from  the  three  methods  above  were  multiplied  by  the
                      design effect of 2 in this study. The deff of 2 was used because the study
                      on deff in each province on some indicators from the CSES2014, such as,
                      the  number  of  household  in  each  village,  total  household  income  and
                      consumption,  showed  that  the  number  of  households  in  each  village
                      exhibited deff ranging from 0.3 to 1.8 while total expenditure and total
                      income variables have their deff ranging from 0.5 to 1.7 and from 0.5 to
                      1.8 respectively.

                  3.  Main finding/results
                      The required sample sizes of households in each province with a further
                  stratification within each province and the without-further stratification are
                  shown in the Table 1. Results show that within 5 percent level of precision, very
                  huge reduction in the required sample sizes of households for each province
                  was achieved in the case when a further stratification within each province was
                  done compared to the one without a further stratification. Without a further
                  stratification, the total sample size of 42,515 households is required for whole
                  country,  whereas  only  8,340,  10,290,  and  14,670  households  are  required,
                  respectively,  for  LHK,  CDH,  and  GGH  under  the  case  when  a  further
                  stratification within each province was done. Among these three methods, LHK
                  method provided the smallest sample size of households followed by the CDH
                  method.  The  GGH  method  of  stratum  boundary  determination  gave  the
                  largest sample size. To gain more insight into how these three methods have
                  worked for this studied population, all the three levels of required precision
                  used are showed in the Table 2. It was found that LHK was still the method
                  that provided the smallest sample size among the three, followed by the CDH
                  method, in all levels of required precision. The GGH method performed the
                  least because it provided the largest sample size requirement in all required
                  levels of precision.

                      Table 1. The required sample sizes of households in each province under
                          5% CV without and with further stratification within province
                                       Total      Without further    With further stratification
                    Province Name    number of   stratification within   within province
                                    households       province
                                                                     LHK      CDH      GGH
                   Banteay             153,396        2,032          420       450      750
                   Meanchey
                   Battambang          226,460        1,233          330       330      630
                   Kampong Cham        222,380        1,094          300       300      570
                   Kampong             107,875        1,099          300       390      540
                   Chhnang
                   Kampong Speu        157,207         851           270       330      480


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