Fishbein's Intentions Model: A Test of External and Pragmatic Validity

Abstract

An unobtrusive measure of overt behavior and personal verbal responses is employed to examine the external validity of the Extended or Intentions Model. An application is tested involving the model's usefulness in formulating promotional strategies designed to increase the number of loan applications at a credit union.

An empirical investigation as to the need for multicomponent decision models

“…Moreover, the attitudinai component alone was inadequate to predict intent; the normative and affective components were also required. This finding replicated those in [3], [18], [20] in other decision domains. Taken together, the research significantly questions the adequacy of traditional decision-theoretic models incorporately an exclusively atti tudinai component.…”

“…Bagozzi [3] and Ryan and Bonfield [20] also found that a general affective component was significantly related to people's decisions. Other authors also have discussed the importance of an affective component in choice behavior.…”

“…In addition, there were three behavioral intent (BI) questions for each of the three career choices that, as required by the Fishbein-Ajzen model, had a specified time limit within which the behavior had to be made. As is typical among researchers using the Fishbein-Ajzen model [18] and [20], an anchored (in our case seven-point) rating scale was used to obtain the participants' values for the BL B r E r NB r and MC parameters. Table I presents exam ples of the questions (and scales) used to measure each parameter.…”

“…For ex ample, Pagel and Davidson [18] recently found that mea surement instruments designed to implement the Fishbein and Ajzen model predicted women's intentions to use different contraceptive methods with a mean predictive accuracy of 84.3%. Bagozzi [3] has demonstrated that both the attitudinal and normative components of the Fishbein-Ajzen model were significantly involved in pre dicting individuals' intentions to donate blood, and Ryan and Bonfield [20] have demonstrated that both compo nents were significantly involved in predicting whether or not people applied for loans.…”

Consequences of Web-based service quality: Uncovering a multi-faceted chain of effects

“…Therefore, the theory has been applied across a variety of domains, and there is ample evidence that it is very useful in predicting consumer behavior through utilizing attitudes and behavioral intentions as a mediator (Ryan & Bonfield, 1980). It also provides a relatively simple framework for identifying where and how to target consumers' behavioral change attempts (Sheppard, Hartwick, & Warshaw, 1988).…”