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Knowledge Representations Derived From Semantic Fluency Data
The semantic fluency task is commonly used as a measure of one’s ability to retrieve semantic concepts. While performance is typically scored by counting the total number of responses, the ordering of responses can be used to estimate how individuals or groups organize semantic concepts within a cat...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963473/ https://www.ncbi.nlm.nih.gov/pubmed/35360609 http://dx.doi.org/10.3389/fpsyg.2022.815860 |
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author | Zemla, Jeffrey C. |
author_facet | Zemla, Jeffrey C. |
author_sort | Zemla, Jeffrey C. |
collection | PubMed |
description | The semantic fluency task is commonly used as a measure of one’s ability to retrieve semantic concepts. While performance is typically scored by counting the total number of responses, the ordering of responses can be used to estimate how individuals or groups organize semantic concepts within a category. I provide an overview of this methodology, using Alzheimer’s disease as a case study for how the approach can help advance theoretical questions about the nature of semantic representation. However, many open questions surrounding the validity and reliability of this approach remain unresolved. |
format | Online Article Text |
id | pubmed-8963473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89634732022-03-30 Knowledge Representations Derived From Semantic Fluency Data Zemla, Jeffrey C. Front Psychol Psychology The semantic fluency task is commonly used as a measure of one’s ability to retrieve semantic concepts. While performance is typically scored by counting the total number of responses, the ordering of responses can be used to estimate how individuals or groups organize semantic concepts within a category. I provide an overview of this methodology, using Alzheimer’s disease as a case study for how the approach can help advance theoretical questions about the nature of semantic representation. However, many open questions surrounding the validity and reliability of this approach remain unresolved. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8963473/ /pubmed/35360609 http://dx.doi.org/10.3389/fpsyg.2022.815860 Text en Copyright © 2022 Zemla. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Zemla, Jeffrey C. Knowledge Representations Derived From Semantic Fluency Data |
title | Knowledge Representations Derived From Semantic Fluency Data |
title_full | Knowledge Representations Derived From Semantic Fluency Data |
title_fullStr | Knowledge Representations Derived From Semantic Fluency Data |
title_full_unstemmed | Knowledge Representations Derived From Semantic Fluency Data |
title_short | Knowledge Representations Derived From Semantic Fluency Data |
title_sort | knowledge representations derived from semantic fluency data |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963473/ https://www.ncbi.nlm.nih.gov/pubmed/35360609 http://dx.doi.org/10.3389/fpsyg.2022.815860 |
work_keys_str_mv | AT zemlajeffreyc knowledgerepresentationsderivedfromsemanticfluencydata |