Is Absolute Identification Always Relative? Comment on Stewart, Brown, and Chater (2005)
N. Stewart, G. D. A. Brown, and N. Chater's (2005) relative judgment model includes three core assumptions that enable it to predict accurately the vast majority of "classical" phenomena in absolute identification choices, but not the time taken to make them, including sequential effe...
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| Veröffentlicht in: | Psychological review 2007-04, Vol.114 (2), p.528-532 |
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| creator | Brown, Scott Marley, A. A. J Lacouture, Yves |
| description | N. Stewart, G. D. A. Brown, and N. Chater's (2005)
relative judgment model includes three core assumptions that enable it to predict accurately the vast majority of "classical" phenomena in absolute identification choices, but not the time taken to make them, including sequential effects, such as assimilation and contrast. These core assumptions, coupled with the parameter values used in the above-mentioned article, lead to the prediction that identification accuracy is low when a large stimulus on 1 trial is followed by a small stimulus on the next trial and vice versa. Data do not support this prediction. The authors identify a set of parameters that allow the model to better fit the data, but problems remain when the data are analyzed with a version of the discrimination measure (
d
') from signal detection theory. The fundamental problem is that the model fits data on average but at the expense of making incorrect predictions in detail. |
| doi_str_mv | 10.1037/0033-295X.114.2.528 |
| format | Article |
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d
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relative judgment model includes three core assumptions that enable it to predict accurately the vast majority of "classical" phenomena in absolute identification choices, but not the time taken to make them, including sequential effects, such as assimilation and contrast. These core assumptions, coupled with the parameter values used in the above-mentioned article, lead to the prediction that identification accuracy is low when a large stimulus on 1 trial is followed by a small stimulus on the next trial and vice versa. Data do not support this prediction. The authors identify a set of parameters that allow the model to better fit the data, but problems remain when the data are analyzed with a version of the discrimination measure (
d
') from signal detection theory. 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J ; Lacouture, Yves</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a439t-805023d3c2eec0bf6f7affa9f34de17595e45db962bfb1092b914db4f84f5b813</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Cognition & reasoning</topic><topic>Criticism</topic><topic>Forecasts</topic><topic>Goodness of Fit</topic><topic>Human</topic><topic>Humans</topic><topic>Identification</topic><topic>Item Analysis</topic><topic>Judgement</topic><topic>Judgment</topic><topic>Perception</topic><topic>Prediction</topic><topic>Predictive Validity</topic><topic>Program Validation</topic><topic>Psychological Theory</topic><topic>Psychology</topic><topic>Reader Response</topic><topic>Relativism</topic><topic>Theory</topic><topic>Values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brown, Scott</creatorcontrib><creatorcontrib>Marley, A. A. 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A. J</au><au>Lacouture, Yves</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ766483</ericid><atitle>Is Absolute Identification Always Relative? Comment on Stewart, Brown, and Chater (2005)</atitle><jtitle>Psychological review</jtitle><addtitle>Psychol Rev</addtitle><date>2007-04-01</date><risdate>2007</risdate><volume>114</volume><issue>2</issue><spage>528</spage><epage>532</epage><pages>528-532</pages><issn>0033-295X</issn><eissn>1939-1471</eissn><coden>PSRVAX</coden><abstract>N. Stewart, G. D. A. Brown, and N. Chater's (2005)
relative judgment model includes three core assumptions that enable it to predict accurately the vast majority of "classical" phenomena in absolute identification choices, but not the time taken to make them, including sequential effects, such as assimilation and contrast. These core assumptions, coupled with the parameter values used in the above-mentioned article, lead to the prediction that identification accuracy is low when a large stimulus on 1 trial is followed by a small stimulus on the next trial and vice versa. Data do not support this prediction. The authors identify a set of parameters that allow the model to better fit the data, but problems remain when the data are analyzed with a version of the discrimination measure (
d
') from signal detection theory. The fundamental problem is that the model fits data on average but at the expense of making incorrect predictions in detail.</abstract><cop>United States</cop><pub>American Psychological Association</pub><pmid>17500642</pmid><doi>10.1037/0033-295X.114.2.528</doi><tpages>5</tpages></addata></record> |
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| subjects | Cognition & reasoning Criticism Forecasts Goodness of Fit Human Humans Identification Item Analysis Judgement Judgment Perception Prediction Predictive Validity Program Validation Psychological Theory Psychology Reader Response Relativism Theory Values |
| title | Is Absolute Identification Always Relative? Comment on Stewart, Brown, and Chater (2005) |
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