Testing the Quality and Smoothing of Demographic Data

  • Farhat Yusuf
  • Jo. M. Martins
  • David A. Swanson


This chapter is concerned with the testing of the accuracy of data and adjustments that might be required. It examines potential sources and types of errors such as sampling and non-sampling errors that include topics related to response, coverage and other types of errors. Methods of testing the accuracy of census and other types of demographic data are examined. Further, it considers the use of sample surveys in testing the quality and coverage of census data. The chapter discusses various indices such as the Myers’ index of digital preferences and age-sex ratio scores. The adjustment and smoothing of data is illustrated using methods such as moving averages and using interpolation multipliers.


Response Error Ratio Score Parabolic Model Digital Preference Terminal Digit 
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Copyright information

© Springer Science+Business Media Dordrecht. 2014

Authors and Affiliations

  • Farhat Yusuf
    • 1
    • 2
  • Jo. M. Martins
    • 2
  • David A. Swanson
    • 3
  1. 1.Menzies Centre for Health Policy Sydney School of Public HealthThe University of SydneySydneyAustralia
  2. 2.Department of Marketing and Management Faculty of Business and EconomicsMacquarie UniversityNorth RydeAustralia
  3. 3.Department of Sociology College of Humanities, Arts and Social SciencesUniversity of California RiversideRiversideUSA

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