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A review on survey designs adopted by statistics Botswana

Author Affiliations

  • 1University of Botswana, Private Bag: UB 00705, Gaborone, Botswana
  • 2University of Botswana, Private Bag: UB 00705, Gaborone, Botswana
  • 3University of Botswana, Private Bag: UB 00705, Gaborone, Botswana

Int. Res. J. Social Sci., Volume 7, Issue (5), Pages 34-38, May,14 (2018)

Abstract

Statistics Botswana, Statistics South Africa and several other statistical organizations conduct nation wide surveys on regular basis using complex survey designs. The designs comprises of statification, clustering and unequal probability of selection of samples. In such sampling designs, the first-stage units are selected with unequal probability sampling design and the second-stage units are selected with systematic sampling procedures. It has been pointed out that the unbiased variance estimation for certain population characteristics such as the population mean and proportion for such sampling designs do not exist. Apart from the variance estimation, several standard statistical tests such as goodness of fit, independency and homogenity are not valid for such designs. Standard software packages SPSS, BMDP and SAS provides very often erroneous results. In this paper we have reviewed various methods of variance estimation, independency and testing hypothesis for complex survey designs adapted by the Statistics Botswana.

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