1964
DOI: 10.1037/h0041729
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Some methodological considerations in multiple-cue probability studies.

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Cited by 295 publications
(117 citation statements)
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“…These three factors set the upper limit of achievement (Hursch et al, 1964). By analyzing each of them separately, it becomes possible to see how the communicative process could be improved.…”
Section: Lens Model Equationmentioning
confidence: 99%
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“…These three factors set the upper limit of achievement (Hursch et al, 1964). By analyzing each of them separately, it becomes possible to see how the communicative process could be improved.…”
Section: Lens Model Equationmentioning
confidence: 99%
“…The LME was originally presented in an influential article by Hursch, Hammond, and Hursch (1964) in the context of studies of human judgment. In such studies, the goal was to relate the judge's cognitive system to a statistical description of the judgment task (for a review, see Brehmer, 1994).…”
Section: Lens Model Equationmentioning
confidence: 99%
See 1 more Smart Citation
“…The relations among the different indices of the lens model have been mathematically formulated in terms of the lens model equation (Hursch, Hammond, & Hursch, 1964), which allows one to explain achievement in terms of matching and consistency. The essential point in the present context is that the upper limit of achievement is set by the matching, performer consistency, and listener consistency.…”
Section: Expression Recognitionmentioning
confidence: 99%
“…Hammond [43] adopted this measure and first introduced the use of multiple linear regression to create a multiple correlation measurement of judgment as a function of fallible or probabilistic cues. Perhaps the most important extension of Brunswik's original theory of probabilistic functioning was the development of the lens model equation [47,99]. The lens model equation (LME) provides a mathematical representation of the lens model and partitions the overall correlation represented by the level of achievement (r Y O ) into correlations related to the "ecological validities" or "trustworthiness" [9,11] of the perceptual cues (that is, their statistical correlation the criterion -the "ev" values in Figure 2), the observer's cue utilizations (the "cu" values in Figure 2), the overall predictability of the environment, and the consistency with which an observer implements his or her perceptual judgment (cue-weighting) strategy.…”
Section: Brunswik's Probabilistic Functionalismmentioning
confidence: 99%