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Original

ADOLESCENT MARIJUANA USE AND ADULT OCCUPATIONAL ATTAINMENT: A LONGITUDINAL STUDY FROM AGE 18 TO 28

, Ph.D., , Ph.D., , Ph.D., & , Ph.D.
Pages 997-1014 | Published online: 03 Jul 2009

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  • Thereare several reasons for using unweighted data rather than weighted. (1) Weare not attempting to make population estimates of prevalence (for which weighteddata would be preferable). (2) We are primarily interested in the resultsof multivariate analyses, and the use of weights in multivariate analysesis controversial.9-11(3) The major independent variable of interest is marijuana use, which wasone of the several variables used in stratification of the follow-up sample,and use of weights is such cases can result in a considerable loss of power.[12]
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  • Inthe original question there was a fifteenth job category which was labeled“homemaker/housewife”. We excluded this category from the classificationof Table 1 because its “prestige” withrespect to the other job categories is unclear
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  • The ψjBparameters account for differences in the probabilities of the column variable.Since we do not necessarily expect the population frequencies of the job categoriesto be equal, these parameters have to be present in the model. However, forthe present study they are not of interest. This is similar to regressionanalysis where an intercept is typically required by the model although thesubstantive interest focuses only on the slope coefficient
  • Notethat the ψ1A was constrainedto be equal to zero. Therefore, the other ψiAparameters express the difference in the log-odds, log (Fi,j+1/Fij),compared to the non-user group
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