We investigated the antecedents of volunteer behavior within a hierarchical model of motivation and personality. In Study 1, we developed measures of altruism and volunteer orientation and combined them with three additional traits to predict a set of volunteer behaviors. In Studies 2 and 3, we added six functional motives for volunteering identified by Clary et al. (1998) to the model. Across the 3 studies, the traits of altruism, the need for activity, and the need for learning were consistent predictors of volunteer orientation. In Studies 2 and 3, the measure of volunteer orientation was a significant predictor of the functional motives and of volunteer behaviors. Furthermore, the motive to help others was positively related to volunteering behaviors, and the motive of self‐enhancement was negatively related to them. Overall, the results support the proposal that functional motives act like motivated reasons for acting and reside at the surface level in a hierarchical model of personality.

Extant research suggests that consumers can become emotionally attached to consumption objects, including brands. However, a scale to measure the strength of consumers’ emotional attachments to brands has yet to be devised. We develop such a scale in Studies 1 and 2. Study 3 validates the scale's internal consistency and dimensional structure. Study 4 examines its convergent validity with respect to four behavioral indicators of attachments. Study 5 demonstrates discriminant validity, showing that the scale is differentiated from measures of satisfaction, involvement, and brand attitudes. That study also examines the scale's predictive validity, showing that it is positively associated with indicators of both commitment and investment. The limitations of the scale and the boundary conditions of its applicability are also discussed.

Fault trees are used to organize potential causes of a problem to facilitate better judgments about potential problem solutions. However, fault trees can lead to biased judgments because decision makers tend to overestimate the likelihood of problem causes that are explicitly mentioned in the fault tree and underestimate the likelihood of problem causes that are not. In this research, we examined the impact of context information and need for cognitive closure on these estimates. In 2 experiments, participants with a low need for cognitive closure used the informational content of experimenter provided and self‐generated context information as a basis for making likelihood estimates. In contrast, participants with a high need for closure did not use experimenter provided context information at all but used the ease of producing self‐generated context information (rather than informational content) as a basis for their likelihood estimates.