Estimating individual influences of behavioral intentions: an application of random-effects modeling to the theory of reasoned action.
Methods are proposed and described for estimating the degree to which relations among variables vary at the individual level. As an example of the methods, M. Fishbein and I. Ajzen's (1975; I. Ajzen & M. Fishbein, 1980) theory of reasoned action is examined, which posits first that an individual's behavioral intentions are a function of 2 components: the individual's attitudes toward the behavior and the subjective norms as perceived by the individual. A second component of their theory is that individuals may weight these 2 components differently in assessing their behavioral intentions. This article illustrates the use of empirical Bayes methods based on a random-effects regression model to estimate these individual influences, estimating an individual's weighting of both of these components (attitudes toward the behavior and subjective norms) in relation to their behavioral intentions. This method can be used when an individual's behavioral intentions, subjective norms, and attitudes toward the behavior are all repeatedly measured. In this case, the empirical Bayes estimates are derived as a function of the data from the individual, strengthened by the overall sample data.
Prevention Research Center, University of Illinois at Chicago, USA.
D
D
Hedeker
B R
BR
Flay
J
J
Petraitis
D000293:Adolescent; D001290:Attitude; D001499:Bayes Theorem; D002648:Child; D005260:Female; D006266:Health Education; D006801:Humans; D007206:Individuality; D008297:Male; D008960:Models, Psychological; D015233:Models, Statistical; D009042:Motivation; D010379:Peer Group; D012044:Regression Analysis; D012907:Smoking / Q000523:psychology; D000074606:Smoking Prevention; D012919:Social Behavior; D012932:Social Facilitation; D016896:Treatment Outcome