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Conditioning and expectancy models are proposed to explain the biological mechanisms of a placebo response.
Conclusions: The multiple methods integrated here can be used in the development and testing of alcohol expectancy models.
Design: We developed alcohol expectancy models using a cognitive paradigm designed to maximize cognitive activation of expectancies, in order to delineate dimensions of alcohol expectancies.
The black lines represent the age-based residual life expectancy models and the red lines represent the Markov models.
In both the TPB and outcome expectancy models, higher-level constructs, such as attitudes, are based on lower-level beliefs.
Five studies [ 24, 25, 27, 31, 33] tested expectancy models (e.g. [ 41]), which propose that behaviour is determined by expectations people have of the behaviours' consequences.
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We propose a revised response expectancy model, in which affective forecasts are a subgroup of response expectancies, referring to emotional outcomes.
The attitude construct in this paper followed the Fishbein and Ajzen expectancy model (1975) where we obtained a belief-based measure of attitude (Ajzen [1991], p191).
Two models were used: an age-based residual life expectancy model and a Markov simulation model.
The Cardiovascular Life Expectancy Model estimates the annual risk of developing specific CHD endpoints.
The original 1992 Cardiovascular Life Expectancy model was similarly validated against the data set from the Lipid Research Clinic cohort [ 32].
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