1983
DOI: 10.1016/s0022-5371(83)90337-7
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Intuitive averaging of categorized numerical stimuli

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Cited by 37 publications
(49 citation statements)
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“…We have argued that this effect comes about because people are capable of inducing the metric properties of a target dimension from a set of numerical facts. This is consistent with the research on intuitive averaging; these studies have demonstrated that people are remarkably good at estimating the statistical properties of a set of numbers, even when the numbers are presented at a very rapid rate (Malmi & Samson, 1983;Spencer, 1961). It has been assumed that the same numerical induction process that people employ when they perform a numerical averaging task is used to Create and revise metric beliefs.…”
Section: A Setting and Measuring The Metricsupporting
confidence: 82%
“…We have argued that this effect comes about because people are capable of inducing the metric properties of a target dimension from a set of numerical facts. This is consistent with the research on intuitive averaging; these studies have demonstrated that people are remarkably good at estimating the statistical properties of a set of numbers, even when the numbers are presented at a very rapid rate (Malmi & Samson, 1983;Spencer, 1961). It has been assumed that the same numerical induction process that people employ when they perform a numerical averaging task is used to Create and revise metric beliefs.…”
Section: A Setting and Measuring The Metricsupporting
confidence: 82%
“…Although the distributions were positively skewed, Malmi and Samson (1983) did not find a bias in estimates of the average of numbers, although Spencer (1963) did. Discrepancies between these studies using skewed distributions suggest that one cannot easily generalize results from one stimulus material to another, and that methods of presentation and response matter.…”
Section: Influences Of Distributional Properties On Estimate Of Averagementioning
confidence: 73%
“…On the other Running head: ESTIMATING AVERAGES OF DURATIONS 8 hand, estimates of average are not always influenced by irrelevant stimuli. Malmi and Samson (1983) found that participants were able to separately estimate averages of two sets of stimuli randomly intermixed in a sequence. In a visual averaging task, Morgan et al (2000) found that when asked to do so, participants could make a judgment about the average of a specific sample of stimuli, ignoring other stimuli.…”
Section: Methodsmentioning
confidence: 99%
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“…Our previous research on how people estimate the average value of a category (Malmi & Samson, 1983) suggests that people have a representation of the distribution of stimuli in memory. It may be that people can represent bivariate distribution of stimuli and "fit" a linear function to relate the distributions of stimuli.…”
Section: Discussionmentioning
confidence: 99%