Effects Of Missing Information Research Articles

Alternative Discounting Beyond Missing Information: Effects of Confidence in Evaluating

Missing information (MI), if detected, often leads to alternative discounting. However, inferences reduce uncertainty of MI and thus reduce discounting. This paper suggests that discounting results not only from uncertainty of MI, but from consumer's overall confidence in evaluating (CE). Confidently held inferences help resolve MI uncertainty, improve CE and attenuate discounting. This mediating role of CE suggests discounting/evaluation effects could also be observed in 'non-MI' contexts involving other types of uncertainty detection and resolution. An experiment demonstrates the role of CE, and a model proposes interactive effects of sources of uncertainty, and uncertainty detection and resolution on overall CE and discounting. The model extends the long observed discounting effect of MI to broader situations and highlights roles of ambiguity detection/resolution in evaluation effects.

Missing information, inferences, and evaluations

Research has shown consumers either form inferences to fill in missing information or adapt processing to accommodate missing values. This article illustrates that processing may influence which attributes are deemed necessary for the choice task and consequently inferred and that attribute-based processing,leads to inference use. The article also tests a framework that incorporates missing information, processing, inference use, and evaluation variables into a single parsimonious model that shows (1) the effects of missing information on processing and inference use and (2) the effects of inference use on evaluations. The model incorporates a link between processing and inference use that may help explain mixed results regarding the degree and direction of impact of missing information on evaluations. Finally, it explores other variables such as missing information overlap, product familiarity and importance, and attribute type that may also influence inference use.

Risk of alcoholism and parental history: gender differences and a possible reporting bias.

Using data from a population-based study, we examined the association of parental history of heavy drinking and depressed mood with the occurrence of alcohol abuse and dependence in the participants, stratified on gender. We hypothesized that a parental history of heavy drinking or depressed mood would have a stronger association with the occurrence of alcohol abuse or dependence among women than among men. In 1981, collaborators in the National Institute of Mental Health Epidemiologic Catchment Area Program recruited 3,481 adult participants after probability sample selection of census tracts and households in Baltimore, Maryland. To assess the occurrence of psychiatric conditions over time, the Diagnostic Interview Schedule was administered soon after sampling and again at follow-up, roughly 1 year later. At the follow-up interview, parental history of psychiatric conditions was assessed. Individuals who did not complete either the baseline or follow-up interview, or who used a proxy informant were excluded from these analyses. These exclusions left 2,588 household residents who comprised the complete study sample, of which 384 had alcohol abuse or dependence. The degree of association of alcoholism with parental history of heavy drinking or depressed mood is greater for women than for men. Men have an increased risk for alcohol abuse and dependence if they report that father has a history of heavy drinking (OR = 1.6, P < .01). For women, an alcohol disorder is associated with heavy drinking in fathers and in mothers (OR = 2.1, P < .01; OR = 2.6, P < .01, respectively). A similar pattern is found for a parental history of depressed mood. In addition, there is evidence of a possible reporting bias: Men and women with alcohol abuse or dependence are less likely to provide family information than participants without alcohol abuse or dependence. Among men, the presence of missing parental history information is significantly associated with alcohol abuse and dependence. The current report shows evidence for a gender difference in the relationship of parental history of heavy drinking and depression with the risk of alcoholism in offspring, and suggests that the effect of missing information should be considered when analyzing family data.

Information integration in price-quality tradeoffs: the effect of missing information.

Support for averaging processes in information integration has relied on experimental designs in which the amount of information to be integrated was varied. The usual interpretation is that subjects balance the values of the various stimuli presented on a given trial. An alternative interpretation is that subjects may use their perceptions of the relationship between stimulus dimensions to infer the value of missing information. In the present study, subjects were asked to rate their expected satisfaction with purchases of ground beef on the basis of quality and/or price information. The responses of some subjects appeared to be based on the inference that high prices imply high quality and low prices imply low quality when no quality information is given. Other subjects appeared to assign a constant value to missing information. An averaging model that incorporates inferred as well as presented stimulus values is proposed.