Sample substitution can be an acceptable data-collection strategy: the case of the Belgian Health Interview Survey
Stefaan Demarest (),
Geert Molenberghs,
Johan Heyden,
Lydia Gisle,
Herman Oyen,
Sandrine Waleffe and
Guido Hal
Additional contact information
Stefaan Demarest: Scientific Institute of Public Health
Geert Molenberghs: KU Leuven Leuven
Johan Heyden: Scientific Institute of Public Health
Lydia Gisle: Scientific Institute of Public Health
Herman Oyen: Scientific Institute of Public Health
Sandrine Waleffe: Statistics Belgium
Guido Hal: University of Antwerp
International Journal of Public Health, 2017, vol. 62, issue 8, No 13, 949-957
Abstract:
Abstract Objectives Substitution of non-participating households is used in the Belgian Health Interview Survey (BHIS) as a method to obtain the predefined net sample size. Yet, possible effects of applying substitution on response rates and health estimates remain uncertain. In this article, the process of substitution with its impact on response rates and health estimates is assessed. Methods The response rates (RR)—both at household and individual level—according to the sampling criteria were calculated for each stage of the substitution process, together with the individual accrual rate (AR). Unweighted and weighted health estimates were calculated before and after applying substitution. Results Of the 10,468 members of 4878 initial households, 5904 members (RRind: 56.4%) of 2707 households (RRhh: 55.5%) participated. For the three successive (matched) substitutes, the RR dropped to 45%. The composition of the net sample resembles the one of the initial samples. Applying substitution did not produce any important distorting effects on the estimates. Conclusions Applying substitution leads to an increase in non-participation, but does not impact the estimations.
Keywords: Health survey; Non-response; Sampling; Matched substitution (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s00038-017-0976-3
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