Complex Survey Data Analysis: A Comparison of SAS, SPSS and STATA
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
Asian Network for Scientific Information, Pakistan.
Abstract
We compared three statistical packages (SAS, SPSS and STATA) in analyzing complex survey data in the context of multiple regression analysis using concrete examples from two national healthcare databases (MEPS and NDHS). The three packages are found to be efficient and flexible in analyzing complex survey data, but SAS in some cases seems to overestimate the variances of the sample statistics. Adjustment for stratification (incorporating stratification) is very important in complex survey analysis, especially if the stratification variable is endogenous
Description
Keywords
Clustering, Complex survey, Sampling weight, Standard error, Stratification
Citation
Asian Journal of Mathematics and Statistics