Empirical modeling of an alcohol expectancy memory network using multidimensional scaling.

@article{Rather1992EmpiricalMO,
  title={Empirical modeling of an alcohol expectancy memory network using multidimensional scaling.},
  author={Beth Rather and Mark S. Goldman and L Roehrich and Michael T. Brannick},
  journal={Journal of abnormal psychology},
  year={1992},
  volume={101 1},
  pages={174-83}
}
Risk-related antecedent variables can be linked to later alcohol consumption by memory processes, and alcohol expectancies may be one relevant memory content. To advance research in this area, it would be useful to apply current memory models such as semantic network theory to explain drinking decision processes. We used multidimensional scaling (MDS) to empirically model a preliminary alcohol expectancy semantic network, from which a theoretical account of drinking decision making was… CONTINUE READING

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