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Many firms divide a product's price into two mandatory parts, such as the base price of a mail-order shirt and the surcharge for shipping and handling, rather than charging a combined, all-inclusive price. The authors call this strategy partitioned pricing. Although firms presumably use partitioned pricing to increase demand and profits, there is little clear empirical support that these prices increase demand or any theoretical explanation for why this should occur. The authors test hypotheses of how consumers process partitioned prices and how partitioned pricing affects consumers’ processing and recall of total costs and their purchase intentions and certain types of demand. The results suggest that partitioned prices decrease consumers’ recalled total costs and increase their demand. The manner in which the surcharge is presented and consumers’ affect for the brand name also influence how they react to partitioned prices.

Studies of the relationship between purchase intentions and purchase behavior have ignored the possibility that the very act of measurement may inflate the association between intentions and behavior, a phenomenon called “self-generated validity.” In this research, the authors develop a latent model of the reactive effects of measurement that is applicable to intentions, attitude, or satisfaction data, and they show that this model can be estimated with a two-stage procedure. In the first stage, the authors use data from surveyed consumers to predict the presurvey latent purchase intentions of both surveyed and nonsurveyed consumers. In the second stage, they compare the strength of the association between the presurvey latent intentions and the postsurvey behavior across both groups. The authors find large and reliable self-generated validity effects across three diverse large-scale field studies. On average, the correlation between latent intentions and purchase behavior is 58% greater among surveyed consumers than it is among similar nonsurveyed consumers. One study also shows that the reactive effect of the measurement of purchase intentions is entirely mediated by self-generated validity and not by social norms, intention modification, or other measurement effects that are independent of presurvey latent intentions.

No abstract

Recent research has demonstrated that merely measuring an individual's purchase intentions changes his or her subsequent behavior in the market. Several different alternative explanations have been proposed to explain why this "mere-measurement effect" occurs. However, these explanations have not been tested to date. The purpose of this article is to test several competing explanations for why measuring general intentions to purchase (e.g., How likely are you to buy a car?) changes specific brand-level behavior (e.g., which specific brand of car is purchased). The results provide a clearer understanding of the cognitive mechanism through which the mere-measurement effect operates. The results show that when asked to provide general intentions to select a product in a given category, respondents are more likely to choose options toward which they hold positive and accessible attitudes, and are less likely to choose options for which they hold negative and accessible attitudes, compared to a control group of participants who are not asked a general intentions question. These results provide support for the conjecture that asking a general purchase intent question influences behavior by changing the accessibility of attitudes toward specific options in the category.