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How significant are the deviations from unidimensionality in practice? A cross\u2010sectional random sample of Finns aged 15\u201374 (n\u00a0=\u00a04,484) was drawn from the Population Information Registry and surveyed in 2011\u20132012. Analyses were conducted using descriptive statistics, Confirmatory factor analysis (<jats:styled-content style=\"fixed-case\">CFA<\/jats:styled-content>) and multidimensional item response theory (<jats:styled-content style=\"fixed-case\">MIRT<\/jats:styled-content>) models. Altogether, 14.9% of the population endorsed at least one of the 20 <jats:styled-content style=\"fixed-case\">SOGS<\/jats:styled-content> items, but nine items had low endorsement rates (\u2264\u00a00.2%). <jats:styled-content style=\"fixed-case\">CFA<\/jats:styled-content> and <jats:styled-content style=\"fixed-case\">MIRT<\/jats:styled-content> techniques suggested that individuals differed from each other in two positively correlated (<jats:italic>r\u00a0<\/jats:italic>=<jats:italic>\u00a0<\/jats:italic>0.70) underlying dimensions: \u201cimpact on self primarily\u201d and \u201cimpact on others also\u201d. This two\u2010factor correlated\u2010factors model can be reinterpreted as a bifactor model with one general gambling\u2010problem factor and two specific factors with similar interpretation as in the correlated\u2010factors model but with non\u2010overlapping items. 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