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Approaches to triangulation of alcohol data in Scotland: Commentary on Rehm et al .
Author(s) -
Robinson Mark,
Kibuchi Eliud,
Gray Linsay,
McCartney Gerry
Publication year - 2021
Publication title -
drug and alcohol review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.018
H-Index - 74
eISSN - 1465-3362
pISSN - 0959-5236
DOI - 10.1111/dar.13164
Subject(s) - representativeness heuristic , alcohol consumption , population , triangulation , sampling (signal processing) , consumption (sociology) , statistics , psychology , geography , econometrics , demography , computer science , alcohol , mathematics , sociology , cartography , social science , chemistry , biochemistry , filter (signal processing) , computer vision
Rehm et al . highlight the ongoing difficulties in accurately estimating alcohol consumption using surveys. Population surveys, in particular, suffer from non‐response and sampling bias, which affects their representativeness, but they are one of the few ways of estimating differences in consumption across population subgroups. In this article, we highlight different approaches that have been taken in Scotland to try to overcome these problems, from the pragmatic to the sophisticated.