15. The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study

  1. Frauke Kreuter
  1. Brady T. West

Published Online: 30 SEP 2013

DOI: 10.1002/9781118596869.ch15

Improving Surveys with Paradata

Improving Surveys with Paradata

How to Cite

West, B. T. (2013) The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study, in Improving Surveys with Paradata (ed F. Kreuter), John Wiley & Sons, Inc., Hoboken, New Jersey. doi: 10.1002/9781118596869.ch15

Author Information

  1. Survey Research Center, Institute for Social Research, University of Michigan–Ann Arbor

Publication History

  1. Published Online: 30 SEP 2013
  2. Published Print: 24 MAY 2013

ISBN Information

Print ISBN: 9780470905418

Online ISBN: 9781118596869



  • error parameters;
  • paradata;
  • postsurvey nonresponse adjustments;
  • simulation studies;
  • weighting class adjustments


This chapter considers the use of paradata for postsurvey nonresponse adjustments. It presents the results of simulation studies designed to examine the effects of varying levels of error in survey paradata on the effectiveness of postsurvey nonresponse adjustments. The chapter focuses on binary survey process variables as opposed to other forms of paradata like the number of calls made to a sampled case, where setting error parameters for simulation purposes becomes much more complex. The simulation studies presented here aim to examine the link between error-prone paradata and the effectiveness of weighting class adjustments for nonresponse in more detail. The chapter determines whether use of the paradata for nonresponse adjustments would be advisable. If the collected paradata are of high enough quality, future data collections could proceed without the need to purchase the additional information.