Literature DB >> 12921202

Impact of correcting for nonresponse by weighting on estimates of alcohol consumption.

Pia Mäkelä1.   

Abstract

OBJECTIVE: This study describes the characteristics of nonrespondents and assesses the impact of unit nonresponse on estimates of central alcohol consumption variables by examining the impact of corrective weighting.
METHOD: The data came from a Finnish general population random sample of 1,932 respondents (987 women) (response rate: 78.1%). The survey was carried out in the year 2000 using face-to-face interviews. The impact of unit nonresponse was assessed by comparing results using (1) no weighting; (2) poststratified weights adjusted for age, gender and region; (3) weights obtained from a statistical model predicting response propensity; and (4) weights from the model, adjusted to match the population distribution for age, gender and region. Extensive auxiliary information used to predict response propensity came from administrative registers.
RESULTS: Compared with respondents, both male and female nonrespondents had fewer children, lived in urban areas and lived in southern Finland. Male nonrespondents were also older; female nonrespondents more often had only a basic education and were less often in the second-highest income quartile. The change in alcohol variables resulting from the adjustment for nonresponse was small, however, and the difference between the different weighting schemes was even smaller.
CONCLUSIONS: If nonrespondents' drinking differs considerably from that of respondents, this difference cannot be captured even by using extensive auxiliary information and an elaborate model predicting propensity of nonresponse.

Entities:  

Mesh:

Year:  2003        PMID: 12921202     DOI: 10.15288/jsa.2003.64.589

Source DB:  PubMed          Journal:  J Stud Alcohol        ISSN: 0096-882X


  3 in total

1.  Methods to account for attrition in longitudinal data: do they work? A simulation study.

Authors:  Vicki L Kristman; Michael Manno; Pierre Côté
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

2.  Nonresponse bias in survey estimates of alcohol consumption and its association with harm.

Authors:  Deborah A Dawson; Risë B Goldstein; Roger P Pickering; Bridget F Grant
Journal:  J Stud Alcohol Drugs       Date:  2014-07       Impact factor: 2.582

3.  Alcohol-related Outcomes and All-cause Mortality in the Health 2000 Survey by Participation Status and Compared with the Finnish Population.

Authors:  Megan A McMinn; Linsay Gray; Tommi Härkänen; Hanna Tolonen; Joonas Pitkänen; Oarabile R Molaodi; Alastair H Leyland; Pekka Martikainen
Journal:  Epidemiology       Date:  2020-07       Impact factor: 4.860

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.