A model is proposed to account for recent findings on the time needed to decide that a test instance is a member of a target semantic category. It is assumed that the meaning of a lexical term can be represented by semantic features. Some of these features are essential or defining aspects of a word's meaning (defining features), while others are more accidental or characteristic aspects (characteristic features). This defining versus characteristic distinction is combined with a two-stage processing mechanism in such a way that the first stage determines the similarity between the test instance and target category with respect to both defining and characteristic features, while the second stage considers only agreement between defining features. This model is shown to be consistent with most semantic memory effects, and two new experiments provide further detailed support for it.
Survey questions often probe respondents for quantitative facts about events in their past: "During the last 2 weeks, on days when you drank liquor, about how many drinks did you have?" "During the past 12 months, how many visits did you make to a dentist?" "When did you last work at a full-time job?" are all examples from national surveys. Although questions like these make an implicit demand to remember and enumerate specific autobiographical episodes, respondents frequently have trouble complying because of limits on their ability to recall. In these situations, respondents resort to inferences that use partial information from memory to construct a numeric answer. Results from cognitive psychology can be useful in understanding and investigating these phenomena. In particular, cognitive research can help in identifying situations that inhibit or facilitate recall and can reveal inferences that affect the accuracy of respondents' answers.
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