Do non-response follow-ups improve or reduce data quality?: a review of the existing literature

The paper systematically reviews existing literature on the relationship between the level of effort to recruit a sampled person and the measurement quality of survey data. Hypotheses proposed for this relationship are reviewed. Empirical findings for the relationship between level of effort as meas...

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Bibliographic Details
Published in:Journal of the Royal Statistical Society. Series A, Statistics in society Statistics in society, 2013-01, Vol.176 (1), p.129-145
Main Author: Olson, Kristen
Format: Article
Language:English
Subjects:
Accuracy
Aggregates
Conversion
Correlation analysis
Data quality
Denial
Empirical analysis
Empirical evidence
Error
Error analysis
Errors
Health surveys
Hypotheses
Item non-response
Literature
Measurement
Measurement error
Measurement errors
Non-response propensity
Nonresponse rates
Opinion polls
Paradata
Qualitative analysis
Quality of work
Reactance
Response rates
Statistical analysis
Statistics
Summaries
Survey data
Telephones
The use of paradata in social survey research
Total survey error
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Summary:The paper systematically reviews existing literature on the relationship between the level of effort to recruit a sampled person and the measurement quality of survey data. Hypotheses proposed for this relationship are reviewed. Empirical findings for the relationship between level of effort as measured by paradata (the number of follow-up attempts, refusal conversion and time in the field) and question-specific item non-response rates, aggregate measures of item non-response rates, response accuracy and various measurement errors on attitudinal questions are examined through a qualitative review.
ISSN:0964-1998
1467-985X
DOI:10.1111/j.1467-985X.2012.01042.x