• Presentation

Multi-Method Approaches to Monitoring Data Quality

Citation

Cohen, L. M., Miller, K. F., & Brown, J. (2008, May). Multi-Method Approaches to Monitoring Data Quality. Presented at IFD&TC 2008, New Orleans, LA.

Abstract

Ensuring the quality and integrity of data is one of the most important aspects of survey data collection efforts. In this paper we examine the use of multi-method approaches to monitoring data quality on two large-scale national surveys, the National Survey of Child and Adolescent Well-Being (NSCAW) and the National Survey on Drug Use and Health (NSDUH).These two large-scale field surveys use different combinations of data quality assurance methods to ensure a high level of data quality. The NSCAW uses a combination of telephone verification, Computer Audio Recorded Interviewing, and review of various data quality reports. The NSDUH uses telephone verification, mail verification, and data quality reports, in addition to field observations and field verifications.This paper will provide a qualitative examination of the types of information each data quality method offers. A matrix will be provided to exhibit the benefits and challenges within each individual method and combination of methods. Conclusions will be drawn from this matrix about the most beneficial approach based upon various study factors. Examples of study factors include, but are not limited to, sample size, sample density, mode of data collection, length of data collection period, and budget size. Through an effective combination of different methods, projects are able to maximize the efficiency and value of the data quality monitoring process. Information provided in this paper can help other project teams, in the development stage, to construct the most effective data quality monitoring protocol for their studies.