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Sökning: onr:"swepub:oai:DiVA.org:su-32167" > Dimensionality of d...

Dimensionality of drinking consequences : Cross-cultural comparability and stability over time

Wicki, Matthias (författare)
Research Department, Swiss Institute for the Prevention of Alcohol and Drug Problems (SIPA), Lausanne, Switzerland,Nordic Tax Study group
Gustafsson, Nina-Katri, 1976- (författare)
Stockholms universitet,Centrum för socialvetenskaplig alkohol- och drogforskning (SoRAD),Nordic Tax Study group
Mäkelä, Pia (författare)
National Institute for Health and Welfare (THL), Helsinki, Finland,Nordic Tax Study group
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Gmel, Gerhard (författare)
Research Department, Swiss Institute for the Prevention of Alcohol and Drug Problems (SIPA), Lausanne, Switzerland,Nordic Tax Study group
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 (creator_code:org_t)
2009-07-11
2009
Engelska.
Ingår i: Addiction Research and Theory. - Jersey : Informa Health Care. - 1606-6359 .- 1476-7392. ; 17:1, s. 2-16
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Despite the long tradition for asking about the negative social and health consequences of alcohol consumption in surveys, little is known about the dimensionality of these consequences. Analysing cross-sectional and longitudinal data from the Nordic Taxation Study collected for Sweden, Finland, and Denmark in two waves in 2003 and 2004 by means of an explorative principal component analysis for categorical data (CATPCA), it is tested whether consequences have a single underlying dimension across cultures. It further tests the reliability, replicability, concurrent and predictive validity of the consequence scales. A one-dimensional solution was commonly preferable. Whereas the two-dimensional solution was unable to distinguish clearly between different concepts of consequences, the one-dimensional solution resulted in interpretable, generally very stable scales within countries across different samples and time.

Nyckelord

dimensionality; drinking consequences; cross-cultural; stability; replicability
SOCIAL SCIENCES
SAMHÄLLSVETENSKAP

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