Two experiments were performed to study judgment about jobs, using the method of information integration theory. Prospective job seekers rated hypothetical job descriptions according to (a) how much they would like to accept the job, and (b) how satisfied they would feel with the job of that kind. Job descriptions were constructed using two kinds of information: Context (e.g., pay, working conditions) and Content (e.g., achievement, work itself) in a two-factor design. Judgments of liking and expected satisfaction ratings both showed near-parallelism, though a small nonadditive component was also present. The averaging model was able to account for both the additive and nonadditive patterns, whereas the adding rule and the multiplying rule could not. A practical implication of the averaging rule is that adding a minor fringe benefit, positive in itself, may actually decrease job satisfaction and attraction.How job satisfaction depends on pay, working conditions, security, and chances of promotion has been a subject of controversy in industrial and organizational psychology. The traditional theory of job satisfaction treats all job factors alike and so expects them to produce qualitatively similar effects. In contrast, the two-factor theory (Herzberg et al. 1959) divides job factors into context (e.g., pay, working conditions) and content (e.g., achievement, work itself) categories and assumes that these Job attractiveness and satisfaction produce qualitatively different effects. According to Graen ( 1966), Herzberg et al. (1 959) postulate different nonlinear relationships between each of these factor categories and job satisfaction.Available evidence argues against the two-factor theory and for the traditional theory of job satisfaction. For example, three studies (Graen 1966(Graen ,1968Singh 1975) in which context and content factors were vaned systematically in a factorial design obtained evidence for linear relationship. Two other studies (Gray and Levin 1978;Lindsay et al. 1967), which did obtain a significant interaction effect and hence non-linear relationship, did not have the pattern in factorial plot required by the predictions from two-factor theory (Graen 1966). Although all the five studies obtained results against the prescriptions of two-factor theory, they did not allow diagnosis of the rule by which information about context and content factors were integrated. Such a diagnosis is important, for it allows a specification of the process underlying affective reaction to one's job.Do the additive (Graen 1966(Graen ,1968Singh 1975) and nonadditive (Gray and Levin 1978;Lindsay et al. 1967) patterns in the Context x Content effect reflect different integration rules? Or are they different forms of the averaging rule which has been successful in so many domains ofjudgment and decision (Anderson 1981)? The main purpose of the present research was to answer these questions, using the method of information integration theory (Anderson 1981(Anderson , 1982.Information integration theory is a unified theor...