Abstract:
In Canada, about 98% of all households have telephones, and unlisted telephone numbers are relatively rare. Given this, BUM has recruited participants for its radio ratings surveys using a sample frame of listed telephone numbers. In analyses of our typical sample profile, we have found that we tend to under-represent young, mobile, urban groups, the unemployed, students and those with lower income and education levels. We tested random digit dialing (RDD) in an attempt to improve representation of these groups. The differences between the RDD sample and a listed sample, however, seem to be quite small in the Canadian context. This paper compares an RDD sample with a listed sample, looking at demographic breakdowns, return rates, and tuning.
This could also be of interest:
Research Papers
How to determine the size of a sample
Catalogue: ESOMAR Teach-In Seminar 1995: All You Ever Wanted To Know About Sampling, Statistics And Questionnaires
Author: Paul Harris
 
February 14, 1995
Research Papers
Random digit dialling crosses the Atlantic
Catalogue: ESOMAR Congress 1992: The Race Against Expectations
Authors: Ruth Deacon, Martin van Staveren
 
September 1, 1992
Research Papers
Control techniques in a sample survey
Catalogue: ESOMAR Congress 1979: The Challenge Of Eighties
Authors: Angela Amoroso, Costantino Jannacone
 
June 15, 1979
![The documents and videos are available for ESOMAR members only!](/static/img/ana_document_bg.png)