PsycEXTRA Dataset 1970
DOI: 10.1037/e310492005-001
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Comparison of Bayesian and Regression Approaches to the Study of Information Processing in Judgment

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Cited by 332 publications
(466 citation statements)
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“…Further, an interesting possibility is that expectation ratings, as well as the social information itself, may serve as an anchor from which to adjust when performing pain ratings (Slovic & Lichtenstein, 1971; Tversky & Kahneman, 1974). However, high versus low social information also significantly predicted SCR, ruling out that the link between expectancy and pain ratings is purely driven by response biases.…”
Section: Discussionmentioning
confidence: 99%
“…Further, an interesting possibility is that expectation ratings, as well as the social information itself, may serve as an anchor from which to adjust when performing pain ratings (Slovic & Lichtenstein, 1971; Tversky & Kahneman, 1974). However, high versus low social information also significantly predicted SCR, ruling out that the link between expectancy and pain ratings is purely driven by response biases.…”
Section: Discussionmentioning
confidence: 99%
“…Although there are some exceptions (see , studies employing judgment analysis have generally yielded consistent ®ndings, irrespective of the number and type of decision makers sampled and the nature and content of the judgment tasks studied Libby and Lewis, 1982;Slovic and Lichtenstein, 1971). The main ®ndings are that although over a set of judgments individuals are inconsistent, their judgment policies can be adequately represented by an integration model such as multiple linear regression, that contains only a handful of statistically signi®cant cues.…”
Section: Judgment Analysismentioning
confidence: 92%
“…Researchers continue to paint a complex picture of human judgment and they seem to have overlooked an indication that individuals may be using simple strategies from the regression models themselves. This is the ®nding that usually only a handful of cues (three on average according to Brehmer (1994)) are statistically signi®cant (see Libby and Lewis, 1982;Slovic and Lichtenstein, 1971). A number of explanations for the seemingly`ritualistic' use of regression models have been offered, including that they provide an adequate ®t to data and the tools to apply them are readily available (Stewart, 1988).…”
Section: Implications For Research In Judgment and Decision Makingmentioning
confidence: 98%
“…The focus of a statistical reassessment should not be to discard classical methods of inference, but to involve other techniques as the experimental situation warrants. In the latter regard, increasing emphasis has been given recently to the Bayesian approach as an alternative to standard statistical methods (cf, Binder, 1964; Edwards, Lindman, & Savage, 1963; Hays, 1973;Shulman & Elstein, 1975;Slovic & Lichtenstein, 1971). A prime reason for this trend is that Bayesian approaches tend to consider the data accumulated from previous similar experiments and so view the sample at hand as having some previous history.…”
Section: Statistical Considerationsmentioning
confidence: 95%