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Possible Futures for Network Psychometrics

This commentary reflects on the articles included in the Psychometrika Special Issue on Network Psychometrics in Action. The contributions to the special issue are related to several possible future paths for research in this area. These include the development of models to analyze and represent int...

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Autor principal: Borsboom, Denny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021084/
https://www.ncbi.nlm.nih.gov/pubmed/35334037
http://dx.doi.org/10.1007/s11336-022-09851-z
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author Borsboom, Denny
author_facet Borsboom, Denny
author_sort Borsboom, Denny
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description This commentary reflects on the articles included in the Psychometrika Special Issue on Network Psychometrics in Action. The contributions to the special issue are related to several possible future paths for research in this area. These include the development of models to analyze and represent interventions, improvement in exploratory and inferential techniques in network psychometrics, the articulation of psychometric theories in addition to psychometric models, and extensions of network modeling to novel data sources. Finally, network psychometrics is part of a larger movement in psychology that revolves around the analysis of human beings as complex systems, and it is timely that psychometricians start extending their rich modeling tradition to improve and extend the analysis of systems in psychology.
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spelling pubmed-90210842022-05-04 Possible Futures for Network Psychometrics Borsboom, Denny Psychometrika Application Reviews and Case Studies This commentary reflects on the articles included in the Psychometrika Special Issue on Network Psychometrics in Action. The contributions to the special issue are related to several possible future paths for research in this area. These include the development of models to analyze and represent interventions, improvement in exploratory and inferential techniques in network psychometrics, the articulation of psychometric theories in addition to psychometric models, and extensions of network modeling to novel data sources. Finally, network psychometrics is part of a larger movement in psychology that revolves around the analysis of human beings as complex systems, and it is timely that psychometricians start extending their rich modeling tradition to improve and extend the analysis of systems in psychology. Springer US 2022-03-25 2022 /pmc/articles/PMC9021084/ /pubmed/35334037 http://dx.doi.org/10.1007/s11336-022-09851-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Application Reviews and Case Studies
Borsboom, Denny
Possible Futures for Network Psychometrics
title Possible Futures for Network Psychometrics
title_full Possible Futures for Network Psychometrics
title_fullStr Possible Futures for Network Psychometrics
title_full_unstemmed Possible Futures for Network Psychometrics
title_short Possible Futures for Network Psychometrics
title_sort possible futures for network psychometrics
topic Application Reviews and Case Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021084/
https://www.ncbi.nlm.nih.gov/pubmed/35334037
http://dx.doi.org/10.1007/s11336-022-09851-z
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