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https://doi.org/10.12758/mda.2016.007
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Measuring the coverage bias in landline telephone surveys by comparison of Swiss registry data with commercially available telephone number databases
[journal article]
Abstract "Coverage of the population within the sampling frame is a very important quality characteristic
of a study. However, a metrical evaluation of the coverage bias to approach the question of representativeness is usually not possible. Switzerland stands out in that the federal statistical office (SFS... view more
"Coverage of the population within the sampling frame is a very important quality characteristic
of a study. However, a metrical evaluation of the coverage bias to approach the question of representativeness is usually not possible. Switzerland stands out in that the federal statistical office (SFSO) has legal access to population registers (person universe) and a full list of landline telephone numbers (phone number
universe). However, these data are not available for research institutes, which must rely on commercially available number collections or RDD sampling frames. This paper wants to quantify the coverage bias of such alternative sampling frames by metric calculation of their congruence with the SFSO universes. The analysis shows that 85.0% of private phone numbers and 88.9% of the resident population of Switzerland that can be reached via landline by the SFSO definition (non-ALTELs) are included in our exemplarily analyzed commercially available phone number collection. The highest coverage bias is present in the 20-39 age group. The RDD frame covers 97.8% of private phone numbers and 99.8% of non-ALTEL persons. Hence, both available alternative sampling frames are useful for representative studies. Finally, the potential of use of the Swiss coverage results as benchmarks for other countries is discussed." (author's abstract)... view less
Keywords
official statistics; population statistics; sample; telephone interview; data quality; computer-assisted telephone interview; representativity; Switzerland; survey; cell phone; response behavior; survey research; data capture
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Method
development of methods; basic research
Free Keywords
coverage bias; RDD
Document language
English
Publication Year
2016
Page/Pages
p. 167-194
Journal
Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 10 (2016) 2
ISSN
2190-4936
Status
Published Version; peer reviewed
Licence
Creative Commons - Attribution