Minimizing Error Variance Introduced By Missing Data Routines in Survey Analysis

Bradley R. Hertel
Additional contact information
Bradley R. Hertel: Virginia Polytechnic Institute

Sociological Methods & Research, 1976, vol. 4, issue 4, 459-474

Abstract: Seven ways of dealing with the problem of missing data are examined in this paper in light of their expected consequences on the strength of association among treated variables. These seven approaches include the (1) delete cases, (2) delete items, (3) sample mean, (4) group mean, (5) pairwise r, (6) regression analysis, and (7) random assignment solutions.

Date: 1976
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/004912417600400404 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:4:y:1976:i:4:p:459-474

DOI: 10.1177/004912417600400404

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().