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Activity Number: 503
Type: Contributed
Date/Time: Thursday, August 10, 2006 : 8:30 AM to 10:20 AM
Sponsor: Section on Government Statistics
Abstract - #306816
Title: Assessing the Improvement of Data Quality: Surveys Revised Using Cognitive Techniques
Author(s): Kara Norman*+ and Carrie Hughes-Cromwick
Companies: Energy Information Administration and Energy Information Administration
Address: 1000 Independence Ave., SW, Washington, DC, 20585,
Keywords: cognitive techniques ; survey redesign ; data quality
Abstract:

When a form is revised using cognitive techniques, does data quality actually improve? It would seem logical, and the common belief is that, of course the data are more accurate following an improvement to the data collection tool. But how can we measure this improvement not only qualitatively, but most importantly, quantitatively? The purpose of this study is to assess the improvement in data quality for a questionnaire which was redesigned based on the results of cognitive interviews. The rather simplistic approach of paired differences is used to determine whether there is a statistically significant change in the data reported before the revision and after the revision. If there is a statistically significant change in the data series, then there is, in fact, a quantitative correlation between questionnaire improvement and ensuing data quality.


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