Please use this identifier to cite or link to this item:
http://ir.futminna.edu.ng:8080/jspui/handle/123456789/4167| Title: | Complex Survey Data Analysis: A Comparison of SAS, SPSS and STATA |
| Authors: | Oyeyemi, G.M. Adewara, A.A. Adeyemi, R. A. |
| Keywords: | Clustering complex survey Sampling weights Standard error |
| Issue Date: | 2010 |
| Publisher: | Asian Journal of Mathematics and Statistics (ANSI) |
| Citation: | Oyeyemi, G.M., Adewara, A.A. and Adeyemi, R.A. (2010). Complex Survey Data Analysis: A Comparison of SAS, SPSS and STATA. Asian Journal of Mathematics & Statistics, 3: 33-39. |
| 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 database (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 over estimate 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: | Analyzing Complex Survey data Using three statistical packages (SAS, SPSS and STATA) |
| URI: | URL: https://ansinet.com/abstract.php?doi=ajms.2010.33.39 http://repository.futminna.edu.ng:8080/jspui/handle/123456789/4167 |
| ISSN: | 1994-5418 |
| Appears in Collections: | Statistics |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Adeyemi RA Oyeyemi G Complex Survey data ASIAN JR.pdf | Full paper Complex survey data | 453 kB | Adobe PDF | View/Open |
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