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Chapter VII. Nonsampling bias and variance in the SRC Telephone Survey data
1Survey Research Center, Institute for Social Research, University of Michigan, USA.
Summary
Experimental interviewing techniques appear to reduce response bias without increasing interviewer variance. This study suggests these methods improve data accuracy by minimizing systematic errors in survey responses.
Area of Science:
- Survey Methodology
- Interviewing Techniques
- Data Quality
Background:
- Investigates the impact of experimental interviewing behaviors on survey data.
- Addresses concerns that improved reporting might stem from increased interviewer variance.
Purpose of the Study:
- To assess whether experimental interviewing techniques increase interviewer variance.
- To determine if these techniques reduce response bias.
Main Methods:
- Analysis of statistics related to experimental interviewing behaviors.
- Examination of the relationship between interviewing techniques, bias, and variance.
Main Results:
- Findings suggest experimental behaviors are unlikely to simply shift errors from bias to variance.
- Evidence indicates experimental effects likely reduce interviewer variance and response bias.
Conclusions:
- Experimental interviewing procedures appear effective in reducing response bias.
- Further measurement is needed to quantify the net effect on mean square error, considering interviewer and respondent variability.