Journal article 1230 views
Predicting similarity change as a result of categorization
Cognitive Processing, Volume: 14, Issue: 1, Pages: 101 - 101
Swansea University Author:
Irene Reppa
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DOI (Published version): 10.1007/s10339-012-0532-2
Abstract
Learning a particular categorization leads to corresponding changes in the similarity structure of the categorized stimuli. The purpose of the current study was to examine whether different category structures may lead to greater or less similarity change. We created six categorystructures and exami...
Published in: | Cognitive Processing |
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ISSN: | 1612-4782 1612-4790 |
Published: |
2013
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URI: | https://cronfa.swan.ac.uk/Record/cronfa16537 |
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2017-12-20T10:15:53.9340203 v2 16537 2013-12-10 Predicting similarity change as a result of categorization 7824f127c16603af4e08530245a62400 0000-0002-2853-2311 Irene Reppa Irene Reppa true false 2013-12-10 HPS Learning a particular categorization leads to corresponding changes in the similarity structure of the categorized stimuli. The purpose of the current study was to examine whether different category structures may lead to greater or less similarity change. We created six categorystructures and examined changes in similarity as a result of categorization in between-participant conditions. The best supported hypothesis was that the ease of learning a categorization affects change in similarity. There was also support for the hypothesis that similarity change is morelikely to occur when the learned categorization was defined over a single diagnostic dimension. Finally, we discuss some methodological challenges in addressing this important research topic. Journal Article Cognitive Processing 14 1 101 101 1612-4782 1612-4790 31 12 2013 2013-12-31 10.1007/s10339-012-0532-2 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University 2017-12-20T10:15:53.9340203 2013-12-10T02:54:59.3873065 Faculty of Medicine, Health and Life Sciences School of Psychology I Reppa 1 E.M Pothos 2 Irene Reppa 0000-0002-2853-2311 3 |
title |
Predicting similarity change as a result of categorization |
spellingShingle |
Predicting similarity change as a result of categorization Irene Reppa |
title_short |
Predicting similarity change as a result of categorization |
title_full |
Predicting similarity change as a result of categorization |
title_fullStr |
Predicting similarity change as a result of categorization |
title_full_unstemmed |
Predicting similarity change as a result of categorization |
title_sort |
Predicting similarity change as a result of categorization |
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7824f127c16603af4e08530245a62400 |
author_id_fullname_str_mv |
7824f127c16603af4e08530245a62400_***_Irene Reppa |
author |
Irene Reppa |
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I Reppa E.M Pothos Irene Reppa |
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Journal article |
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Cognitive Processing |
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14 |
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101 |
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2013 |
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Swansea University |
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1612-4782 1612-4790 |
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10.1007/s10339-012-0532-2 |
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Faculty of Medicine, Health and Life Sciences |
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Faculty of Medicine, Health and Life Sciences |
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School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology |
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description |
Learning a particular categorization leads to corresponding changes in the similarity structure of the categorized stimuli. The purpose of the current study was to examine whether different category structures may lead to greater or less similarity change. We created six categorystructures and examined changes in similarity as a result of categorization in between-participant conditions. The best supported hypothesis was that the ease of learning a categorization affects change in similarity. There was also support for the hypothesis that similarity change is morelikely to occur when the learned categorization was defined over a single diagnostic dimension. Finally, we discuss some methodological challenges in addressing this important research topic. |
published_date |
2013-12-31T03:18:53Z |
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11.021648 |