title: A Rasch model analysis of alcohol consumption and problems across adolescence and young adulthood.
abstract: BACKGROUND
  Recent investigations using item response modeling have begun to conceptualize alcohol consumption, problems, and dependence as representing points along a single continuum of alcohol involvement. Such a conceptualization may be of particular benefit to measurement of alcohol involvement in adolescents, but investigations to date have been limited to adult samples and may not generalize to adolescents due to age-related developmental differences.
  
  
  METHODS
  This study used Rasch model analyses to examine the properties of indices of alcohol consumption and problems among 6,353 adolescents, aged 12 to 18 years, in Wave 1 of the Add Health survey. A particular focus was on whether the functioning of items changed when these adolescents were re-interviewed in Wave 3 when they were 18 to 24 years of age.
  
  
  RESULTS
  Rasch model analyses supported the unidimensionality and additive properties of the items in the Wave 1 data. Comparisons of Wave 1 and Wave 3 data indicated differential item functioning in most of the items such that items related to alcohol consumption were more severe during adolescence, whereas items related to alcohol problems were more severe in young adulthood.
  
  
  CONCLUSIONS
  A valid index of alcohol involvement in adolescents can be constructed combining indices of alcohol consumption and alcohol problems. Such an index covers a range of severity and functions similarly across sex and race/ethnicity. A similar index can be constructed in young adulthood. However, the interpretation of scores must be attentive to developmental differences. In particular, for adolescents, indices of alcohol consumption are relatively closer in severity to indices of alcohol problems than they are among young adults. Thus, alcohol problems are more likely among adolescents than young adults given a similar level of drinking.
authors.affiliation: Center for Alcohol and Addiction Studies, Brown University, Providence, Rhode Island 02912, USA. Christopher_Kahler@brown.edu
authors.forename: Christopher W
authors.initials: CW
authors.lastname: Kahler
authors.forename: Bettina B
authors.initials: BB
authors.lastname: Hoeppner
authors.forename: Kristina M
authors.initials: KM
authors.lastname: Jackson
mesh_terms: D000293:Adolescent; D000294:Adolescent Behavior / Q000187:drug effects / Q000208:ethnology / Q000523:psychology*; D000428:Alcohol Drinking / Q000009:adverse effects* / Q000208:ethnology; D000437:Alcoholism / Q000453:epidemiology / Q000208:ethnology; D044383:Black People / Q000208:ethnology / Q000523:psychology; D002492:Central Nervous System Depressants / Q000494:pharmacology; D002648:Child; D015331:Cohort Studies; D003198:Computer Simulation; D003625:Data Collection; D000431:Ethanol / Q000494:pharmacology; D005260:Female; D006630:Hispanic or Latino / Q000208:ethnology / Q000523:psychology; D006801:Humans; D007398:Interpersonal Relations; D008137:Longitudinal Studies; D008297:Male; D008960:Models, Psychological; D011446:Prospective Studies; D012307:Risk Factors; D012919:Social Behavior; D044465:White People / Q000208:ethnology / Q000523:psychology; D055815:Young Adult
chemical_list: D002492:Central Nervous System Depressants; D000431:Ethanol