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Predicting similarity change as a result of categorization

I Reppa, E.M Pothos, Irene Reppa Orcid Logo

Cognitive Processing, Volume: 14, Issue: 1, Pages: 101 - 101

Swansea University Author: Irene Reppa Orcid Logo

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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...

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Published in: Cognitive Processing
ISSN: 1612-4782 1612-4790
Published: 2013
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URI: https://cronfa.swan.ac.uk/Record/cronfa16537
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first_indexed 2013-12-11T03:03:10Z
last_indexed 2018-02-09T04:49:16Z
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spelling 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
author_id_str_mv 7824f127c16603af4e08530245a62400
author_id_fullname_str_mv 7824f127c16603af4e08530245a62400_***_Irene Reppa
author Irene Reppa
author2 I Reppa
E.M Pothos
Irene Reppa
format Journal article
container_title Cognitive Processing
container_volume 14
container_issue 1
container_start_page 101
publishDate 2013
institution Swansea University
issn 1612-4782
1612-4790
doi_str_mv 10.1007/s10339-012-0532-2
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology
document_store_str 0
active_str 0
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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score 11.013148

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