Statistical Policy Working Paper 31. Measuring and Reporting Sources of Error in Surveys

Details

• Corporate Creators:
  United States. Federal Committee on Statistical Methodology. Subcommittee on Measuring and Reporting the Quality of Survey Data
• Subject/TRT Terms:
  • Data analysis
  • Data collection
  • Statistical sampling
  • Surveys
  • Federal government agencies
  • Errors
  • Measurement
• Publication/ Report Number:
  Statistical Policy Working Paper 31
• DOI:
  https://doi.org/10.21949/1529874
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Federal Committee on Statistical Methodology
• Abstract:
  In 1996, the FCSM established a subcommittee to review the measurement and reporting of data quality in federal data collection programs. Many issues revolve around these two broad topics, not the least of which is what is meant by “quality.” Different data users have different goals and, consequently, different ideas of what constitutes “quality.” If defining quality is difficult, then the reporting of quality is also. Reporting “quality” is dependent on the needs of data users and the kind of product—analytic report, technical report or data set, for example, made available to the user. The FCSM subcommittee, whose membership represents the experiences of 12 statistical agencies, took the approach of studying “data quality” in terms of the measurement and reporting of various error sources that affect data quality: sampling error, nonresponse error, coverage error, measurement error, and processing error.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/72799/dot_72799_DS1.pdf
• File Type:
  [PDF - 1.20 MB]
• Collection(s):
  FCSM
• Main Document Checksum:
  urn:sha-512:508a0599528e3fc3a802285ed7aea1c5c46c0b87596d5c59ad58436df0e08a268d5c0276a89d16ae3e4b53660ccb410916724a4e9def8d86b037a217bc7a0e44