9B – Interviewer and Respondent Characteristics that May Affect Data Quality

Interviewer and Respondent Characteristics that May Affect Data Quality
Presentation & Discussion: Field
9B - Field


Time/Date
1:30 pm-2:45 pm on Tuesday, 05/23/2017

Location
Grand Ballroom II

Facilitator
Ester Ullman, UM-Survey Research Center

Session Focus

Using data to determine how interviewer and respondent characteristics may affect data quality and production metrics in field and telephone surveys.

    Presentations
  • Using the Paradata: The Relationship Between Field Representative Characteristics and Data Quality Indicators and on Data Falsification - Jennifer Laks Hutnick, U.S. Census Bureau
  • The Impact of Interviewer Background Data on Performance when Conducting a Sensitive Topic Telephone Survey - Jessica Williams, RTI International
  • Sampled Person Versus Proxy: Does Respondent Type Make a Difference? - Samantha Rosner, NORC at the University of Chicago
  • Using Local Interviewers - Lekha Venkataraman, NORC at the University of Chicago

Bookings

Bookings are closed for this event.