Post Two Way Stratification Analysis for Vaccinations in Sudan

Main Article Content

ALIA SAAD

Abstract

The present research deal with post two stratification analysis for vaccinations data of MICS5 in Sudan. In order to guarantee more precision for estimated indicators: percentage of Child ever given BCG, Polio, PENTA and Measles or MMR vaccination. State and mother education level are determined as two stratification variables since the correlation between them is small and the correlation with target indicators are some of size. So the two way stratification analysis for the four indicators gives more precise estimates the post stratification with high relative efficiency.

Downloads

Download data is not yet available.

Article Details

How to Cite
SAAD, A. (2019). Post Two Way Stratification Analysis for Vaccinations in Sudan. International Journal for Innovation Education and Research, 7(12), 08-14. https://doi.org/10.31686/ijier.Vol7.Iss12.1689
Section
Articles

References

Cochran,W. G. (1977). Sampling Techniques, 3rd ed.Wiley, New York.
Edward C. Bryaat. (1955) An Analysis Of Some Two – Way Stratifications. Iowa State College.
Falorsi, P.D. and Righi, P. (2008). A balanced sampling approach for multi-way stratification designs for small area estimation. Survey Methodology, Statistics Canada.

Kish, L. (1965), Survey Sampling, New York: John Wiley.
Lohr, S. L. (1999). Sampling: Design and Analysis. Pacific Grove, Ca: Brooks – cole..
Singh, D. and Chaudhary, F. S. (1986). Theory and analysis of sample survey designs. New Age International (P) Limited Publishers.
Skinner, C. J., Holt, D. and Smith, T. M. F. (1989). Analysis of Complex Surveys. John Wiley & Sons Ltd.
Thomsen, I. (1976). The Effect Of Stratification When Two Stratified Variables Are Used.
Westfall, J.A., Patterson, P.L. and Coulston. J.W. (2011). Post-Stratified Estimation: Within-Strata and Total Sample Size Recommendations. NRC Research Press.

DB Error: Unknown column 'Array' in 'where clause'