Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria

Card sorting has been widely used in information architecture to analyze and improve web content and navigation. This is an intuitive and cost-effective technique also useful in user research and evaluation. However, while the implementation of sorting tasks comprises a constructive and easy-toaccom...

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Author: Macías Iglesias, José Antonio
Format: article
Publication Date:2021
Country:España
Institution:Universidad Autónoma de Madrid
Repository:Biblos-e Archivo. Repositorio Institucional de la UAM
Language:English
OAI Identifier:oai:repositorio.uam.es:10486/705293
Online Access:http://hdl.handle.net/10486/705293
https://dx.doi.org/110.5555/3532753.3532755
Access Level:Open access
Keyword:Information architecture
Card sorting
Quantitative analysis
Agglomerative clustering
Distance method
Linkage criterion
Dendrogram
Informática
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spelling Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteriaMacías Iglesias, José AntonioInformation architectureCard sortingQuantitative analysisAgglomerative clusteringDistance methodLinkage criterionDendrogramInformáticaCard sorting has been widely used in information architecture to analyze and improve web content and navigation. This is an intuitive and cost-effective technique also useful in user research and evaluation. However, while the implementation of sorting tasks comprises a constructive and easy-toaccomplish process, the quantitative analysis of resulting card-sorting data can be a challenge for non-skilled evaluators. Several tools exist to support sorting tasks and data analysis, but still some users utilize custom spreadsheets or statistical packages in order to enhance analysis and obtain more expressive and comparable results. One of the most utilized diagrams for analyzing card-sorting results is the dendrogram, also known as a tree diagram, which is commonly based on an agglomerative clustering representation depicting groupings of related cards. However, several issues have to be considered by evaluators in order to produce meaningful dendrograms for decisionmaking. In fact, the distance method and the linkage criterion greatly influence the final dendrogram obtained. In this paper, an analysis on distance methods and linkage criteria for obtaining suitable dendrograms is proposed. The main aim is to guide evaluators and usability engineers to produce appropriate dendrograms based on available cardsorting data. In this sense, the provided clues can be widely applied to any card-sorting domain and sample size, improving card-sorting analysis by comparing different solutions through goodness indicators. Analyses applied to a publicly available dataset indicate that the results are highly dependent of the data type, so the right selection of both distance method and linkage criterion is essential for obtaining a suitable dendrogram and correctly interpreting the resultsThis work was partially supported by the Spanish Government (grant number RTI2018-095255-B-I00) and the Madrid Research Council (grant number P2018/TCS-4314)User Experience Professionals Association (UXPA)Departamento de Ingeniería InformáticaEscuela Politécnica Superior20212021-02-01research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/705293https://dx.doi.org/110.5555/3532753.3532755reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7052932026-06-23T12:46:27Z
dc.title.none.fl_str_mv Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
title Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
spellingShingle Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
Macías Iglesias, José Antonio
Information architecture
Card sorting
Quantitative analysis
Agglomerative clustering
Distance method
Linkage criterion
Dendrogram
Informática
title_short Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
title_full Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
title_fullStr Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
title_full_unstemmed Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
title_sort Enhancing card sorting dendrograms through the holistic analysis of distance methods and linkage criteria
dc.creator.none.fl_str_mv Macías Iglesias, José Antonio
author Macías Iglesias, José Antonio
author_facet Macías Iglesias, José Antonio
author_role author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Informática
Escuela Politécnica Superior
dc.subject.none.fl_str_mv Information architecture
Card sorting
Quantitative analysis
Agglomerative clustering
Distance method
Linkage criterion
Dendrogram
Informática
topic Information architecture
Card sorting
Quantitative analysis
Agglomerative clustering
Distance method
Linkage criterion
Dendrogram
Informática
description Card sorting has been widely used in information architecture to analyze and improve web content and navigation. This is an intuitive and cost-effective technique also useful in user research and evaluation. However, while the implementation of sorting tasks comprises a constructive and easy-toaccomplish process, the quantitative analysis of resulting card-sorting data can be a challenge for non-skilled evaluators. Several tools exist to support sorting tasks and data analysis, but still some users utilize custom spreadsheets or statistical packages in order to enhance analysis and obtain more expressive and comparable results. One of the most utilized diagrams for analyzing card-sorting results is the dendrogram, also known as a tree diagram, which is commonly based on an agglomerative clustering representation depicting groupings of related cards. However, several issues have to be considered by evaluators in order to produce meaningful dendrograms for decisionmaking. In fact, the distance method and the linkage criterion greatly influence the final dendrogram obtained. In this paper, an analysis on distance methods and linkage criteria for obtaining suitable dendrograms is proposed. The main aim is to guide evaluators and usability engineers to produce appropriate dendrograms based on available cardsorting data. In this sense, the provided clues can be widely applied to any card-sorting domain and sample size, improving card-sorting analysis by comparing different solutions through goodness indicators. Analyses applied to a publicly available dataset indicate that the results are highly dependent of the data type, so the right selection of both distance method and linkage criterion is essential for obtaining a suitable dendrogram and correctly interpreting the results
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-02-01
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/705293
https://dx.doi.org/110.5555/3532753.3532755
url http://hdl.handle.net/10486/705293
https://dx.doi.org/110.5555/3532753.3532755
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv User Experience Professionals Association (UXPA)
publisher.none.fl_str_mv User Experience Professionals Association (UXPA)
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
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repository.mail.fl_str_mv
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