Alcohol expectancies: integrating cognitive science and psychometric approaches.
OBJECTIVE
To demonstrate an integrative methodology to explore psychological constructs, we used multiple methods in the examination of alcohol expectancies-a psychological construct that is generally measured using survey methodology. We then used the methodology in order to assess the relationship of alcohol expectancy dimensions to drinking-related outcomes.


METHODS
We developed alcohol expectancy models using a cognitive paradigm designed to maximize cognitive activation of expectancies, in order to delineate dimensions of alcohol expectancies. Next, using multidimensional scaling (MDS), we defined heuristic models representing domains for arousing, sedating, positive, and negative alcohol expectancies. We then assessed these models in a separate sample using confirmatory factor analysis (CFA) and covariance structure modeling.


METHODS
The research was conducted at a large public university in the southeastern US.


METHODS
A total of 927 male and female college students ranging in age from 17 to 35 years participated.


METHODS
Measures included the Alcohol Expectancy Inventory, the Quantity Frequency Index (QFI), and the Drinking Styles Questionnaire.


RESULTS
Single indicator models representing expectancies for arousing and positive effects of alcohol did not differ significantly in the prediction of drinking, and both accounted for significantly more variance in self-reported drinking than expectancies for sedating and negative effects of alcohol consumption. Expectations for the sedating effects of alcohol accounted for significantly more variance than those for negative effects. Expectations for sedating effects added unique variance in the prediction of drinking when all predictors were simultaneously modeled.


CONCLUSIONS
The multiple methods integrated here can be used in the development and testing of alcohol expectancy models. This integrative methodology warrants further development and validation.
Aarons
Gregory A
GA
Child and Adolescent Services Research Center, San Diego, CA 92123, USA. gaarons@ucsd.edu
Goldman
Mark S
MS
Greenbaum
Paul E
PE
Coovert
Michael D
MD
D000293:Adolescent; D000328:Adult; D000428:Alcohol Drinking / Q000009:adverse effects / Q000523:psychology*; D001143:Arousal; D019336:Cognitive Science / Q000379:methods / Q000592:standards; D015331:Cohort Studies; D005260:Female; D006801:Humans; D008297:Male; D008962:Models, Theoretical; D011594:Psychometrics / Q000379:methods / Q000592:standards