Minimizing Error Variance Introduced By Missing Data Routines in Survey Analysis

1 May 1976

journal article
research article
Published by SAGE Publications in Sociological Methods & Research

Vol. 4 (4) , 459-474
https://doi.org/10.1177/004912417600400404

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.

Keywords

SURVEY
VARIANCE
MISSING DATA
ASSIGNMENT
ROUTINES
ITEMS
MINIMIZING
PAIRWISE
DELETE

This publication has 1 reference indexed in Scilit:

Some Factors in a Probability Sample Survey of a Metropolitan Community
American Sociological Review, 1959