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Catherine Haggerty

NORC at the University of Chicago



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Micah R. Sjoblom

NORC at the University of Chicago



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Steven Pedlow

NORC at the University of Chicago



182 – Estimation Issues

A Data Quality Program for the Survey of Consumer Finances

Sponsor: Survey Research Methods Section
Keywords: Data Quality, Quality Measures, Quality Improvement

Catherine Haggerty

NORC at the University of Chicago

Micah R. Sjoblom

NORC at the University of Chicago

Steven Pedlow

NORC at the University of Chicago

NORC engaged in data quality improvement activities throughout the recent ten month data collection period of the Survey of Consumer Finances. These activities included weekly data review and ongoing instruction to interviewers. The data review activities included data monitoring, data evaluation and reviewing three potential sources of explanation for data problems: call record entries, reviewing commentary recorded during the interview, and debriefing notes recorded after the interview. The ongoing instruction was delivered in a variety of forms: weekly memos, targeted interactive self directed lessons delivered in electronic format, ad-hoc group meetings held via-teleconference; and during weekly one-on-one meetings with a supervisor. We will describe the processes we used to identify data quality issues, our data quality improvement protocols, and the data quality measures over time.

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