You are here: Home / Survey Data / Documentation / Data Cleaning

Data Cleaning

Basic data cleaning has included:

  • Corrections to ID variables
  • Corrections to the household roster
  • Deletion of duplicate records
  • Deletion of blank records
  • Recoding out-of-range values to missing status.

Note that only values that were clearly impossible were recoded to missing. The significance of extreme values still remaining in the files is left to the discretion of individual researchers.