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Innovating Data Collection Interest Group
 Groups Overview
    
      




Interest Groups
    
    Innovating Data Collection Interest Group
      
        




Confidentiality and Data Access Committee (CDAC)
      
        




Computational Statistics and the Production of Official Statistics (CSPOS) Interest Group
      
        




Geospatial Interest Group (GIG)
      
        




Sexual Orientation, Gender Identity, and Sex Characteristics (SOGISC) Interest Group
    
      




Subcommittees
    
    Federal Statistical System Research Subcommittee
      
        




Integrated Data Quality Subcommittee
      
        




Subcommittee on Updating Statistical Methods for Safeguarding Protected Data
      
        




Nonresponse Bias Working Group
      
        




Sexual Orientation, Gender Identity, and Sex Characteristics (SOGISC) Subcommittee The Innovating Data Collection Interest Group brings together federal agencies to discuss research and production activities related to using information to inform data collection decisions. Examples of topics relevant to this interest group include adaptive or responsive survey design, survey paradata, interviewer monitoring, program evaluation, and participant recruiting options. Federal agencies have begun to experiment with various innovative data collection strategies and survey designs, and the research in this area has grown. However, information about these activities is dispersed and often difficult for survey practitioners to find. This interest group is intended to provide a vehicle to share information about the use of innovative data collection techniques, strategic data collection management efforts in Federal surveys, and other relevant topics. Please contact the group chair(s) if you are a federal employee and interested in participating. **Charter** **Contacts:** Elise Christopher (Co-chair), National Center for Education Statistics, elise.christopher@ed.gov
  Stephanie Coffey (Co-chair), U.S. Census Bureau, stephanie.coffey@census.gov
  John Finamore (FCSM Liaison), National Center for Science and Engineering Statistics, jfinamor@nsf.gov DISCLAIMER: Materials posted on this page are released to inform interested parties of research and to encourage discussion. Opinions expressed are those of the authors and do not necessarily reflect the official position of the FCSM or the participating agencies.


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