This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 397
Type: Topic Contributed
Date/Time: Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #308724
Title: The Relationship Between Nonresponse and Data Quality in the Current Population Survey
Author(s): Scott Fricker*+
Companies: Bureau of Labor Statistics
Address: , Washington, DC, 20212,
Keywords: nonresponse ; data quality ; longitudinal survey
Abstract:

The purpose of this study was to investigate the relationship between nonresponse and survey data quality in a longitudinal panel survey. Data from early waves of the Current Population Survey (CPS) were used to develop multivariate regression models predicting respondents' probability of response in later CPS waves, and the relationship between response propensity and indicators of CPS data quality was examined. Results revealed that data quality decreased as the probability of nonresponse increased, with the strength of this relationship varying by data quality measure. Statistically controlling for potential common cause variables did not weaken the relationship. Implications of these findings for survey practitioners and for nonresponse and measurement error studies are discussed.


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