Abstract

http://ssrn.com/abstract=2132027
 


 



Using Weights in the Analysis of the KFS Data: KFS Professional Development Workshops


Joseph B. Farhat


Central Connecticut State University - Department of Finance

August 1, 2012

Ewing Marion Kauffman Foundation Research Paper

Abstract:     
Although researchers using a complex sample survey data need not understand the in-depth details of the process generating the survey weights, questions about why, when, and how to use weighting and which statistical packages to use are the most common during data analysis. Unfortunately, relatively little practical information is available about why, when, and how to use weights, which makes weighting a challenging subject in the analysis of the KFS data. As noted by Kish (1992), one cannot find textbooks or references that provide a reasonable and comprehensive explanation of the use of weights in complex sample data. Although the theory of design-based inference from probability sample design has been under development for the last hundred years and is still an evolving field, the question to weight or not to weight in driving statistical models is an ongoing debate; however, the consensus among design-based analysts is that using weights in the statistical analysis of complex sample survey is never a wrong thing to do.

This paper is aimed at clarifying the complex design of the KFS, thereby providing a simple guide to weighting and introducing the statistical procedures by the major statistical packages that are designed for analyzing data derived from a complex sample survey.

Number of Pages in PDF File: 56

Keywords: survey weights, KFS, complex sample survey

JEL Classification: B41, C13, C42, C87

working papers series





Download This Paper

Date posted: August 19, 2012  

Suggested Citation

Farhat, Joseph B., Using Weights in the Analysis of the KFS Data: KFS Professional Development Workshops (August 1, 2012). Ewing Marion Kauffman Foundation Research Paper. Available at SSRN: http://ssrn.com/abstract=2132027 or http://dx.doi.org/10.2139/ssrn.2132027

Contact Information

Joseph Farhat (Contact Author)
Central Connecticut State University - Department of Finance ( email )
1615 Stanley Street
New Britian, CT 06050
United States
Feedback to SSRN


Paper statistics
Abstract Views: 302
Downloads: 38
Paper comments
No comments have been made on this paper

© 2014 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright   Contact Us
This page was processed by apollo4 in 0.422 seconds