JSM 2005 Online Program

Abstract #304361

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	528
Type:	Contributed
Date/Time:	Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Survey Research Methods
Abstract - #304361
Title:	Measuring and Reducing Inconsistency among Questionnaire Items through Imputation: An Application to the NSOPF
Author(s):	Kimberly Ault*+
Companies:	RTI International
Address:	6110 Executive Blvd, Rockville, MD, 20852-3907, United States
Keywords:	Imputation ; Inconsistency ; Editing
Abstract:	For complex surveys, the task of imputing a large number of variables is a major undertaking as the resulting data must satisfy various consistency checks that are often intertwined. For instance, values of certain variables might have to add up to those of others, while in other cases, certain variables might restrict the values other variables can take on. When an imputed value is deemed inconsistent with other variables, it is sometimes logically imputed (edited) to resolve the observed inconsistency. Alternatively, such values are set to missing and then imputed to avoid the preceding laborious process. This paper discusses a method for measuring and reducing the number of inconsistent cases through imputation, where inconsistency is measured as a function of the number of cases set to missing during the editing process. Missing data are imputed using a weighted sequential hot-deck methodology, which results in values that are consistent with respect to all known skip patterns and logical constraints. The research is based on the 2004 National Study of Postsecondary Faculty (NSOPF:04) survey data.

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