Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems

Autores
Acuña, María Inés; Brussino, Silvina Alejandra
Año de publicación
2025
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
This chapter examines psychometric network analysis (PNA), an innovative approach that conceptualizes psychological constructs as networks of interconnected variables. It emphasizes the importance of understanding the relationships among these variables, represented as nodes and edges in a network, to capture the complexity of psychological phenomena. The study highlights how researchers use PNA to analyze multivariate data collected at a single time point, particularly in psychometric assessments where they simultaneously assess multiple variables. PNA facilitates the exploration of conditional dependencies among variables, allowing researchers to visualize and interpret the intricate interactions within complex constructs such as political sophistication. Additionally, the chapter addresses the challenges associated with PNA, including the need for careful interpretation of causal relationships and the potential risk of overemphasizing psychometric analysis at the expense of the underlying theoretical frameworks. Ultimately, the chapter advocates for a balanced approach that integrates network analysis with traditional psychometric methods, fostering a deeper understanding of psychosocial constructs and their interactions while paving the way for future advancements in psychological networks.
Fil: Acuña, María Inés. Universidad Nacional del Comahue; Argentina
Fil: Brussino, Silvina Alejandra. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina
Materia
MEREOLOGICAL MODEL
PSYCHOMETRIC NETWORK ANALYSIS
PSYCHOSOCIAL PHENOMENA
GRAPHIC GAUSSIAN MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/272908
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial SystemsAcuña, María InésBrussino, Silvina AlejandraMEREOLOGICAL MODELPSYCHOMETRIC NETWORK ANALYSISPSYCHOSOCIAL PHENOMENAGRAPHIC GAUSSIAN MODELhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5This chapter examines psychometric network analysis (PNA), an innovative approach that conceptualizes psychological constructs as networks of interconnected variables. It emphasizes the importance of understanding the relationships among these variables, represented as nodes and edges in a network, to capture the complexity of psychological phenomena. The study highlights how researchers use PNA to analyze multivariate data collected at a single time point, particularly in psychometric assessments where they simultaneously assess multiple variables. PNA facilitates the exploration of conditional dependencies among variables, allowing researchers to visualize and interpret the intricate interactions within complex constructs such as political sophistication. Additionally, the chapter addresses the challenges associated with PNA, including the need for careful interpretation of causal relationships and the potential risk of overemphasizing psychometric analysis at the expense of the underlying theoretical frameworks. Ultimately, the chapter advocates for a balanced approach that integrates network analysis with traditional psychometric methods, fostering a deeper understanding of psychosocial constructs and their interactions while paving the way for future advancements in psychological networks.Fil: Acuña, María Inés. Universidad Nacional del Comahue; ArgentinaFil: Brussino, Silvina Alejandra. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; ArgentinaIntechOpenRichaud, Maria CristinaMesurado, Maria BelenLemos, Viviana Noemí2025info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookParthttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/272908Acuña, María Inés; Brussino, Silvina Alejandra; Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems; IntechOpen; 2025; 1-15978-1-83634-884-9CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.intechopen.com/online-first/1216448info:eu-repo/semantics/altIdentifier/doi/10.5772/intechopen.1009924info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:48:02Zoai:ri.conicet.gov.ar:11336/272908instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:48:02.506CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
title Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
spellingShingle Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
Acuña, María Inés
MEREOLOGICAL MODEL
PSYCHOMETRIC NETWORK ANALYSIS
PSYCHOSOCIAL PHENOMENA
GRAPHIC GAUSSIAN MODEL
title_short Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
title_full Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
title_fullStr Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
title_full_unstemmed Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
title_sort Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems
dc.creator.none.fl_str_mv Acuña, María Inés
Brussino, Silvina Alejandra
author Acuña, María Inés
author_facet Acuña, María Inés
Brussino, Silvina Alejandra
author_role author
author2 Brussino, Silvina Alejandra
author2_role author
dc.contributor.none.fl_str_mv Richaud, Maria Cristina
Mesurado, Maria Belen
Lemos, Viviana Noemí
dc.subject.none.fl_str_mv MEREOLOGICAL MODEL
PSYCHOMETRIC NETWORK ANALYSIS
PSYCHOSOCIAL PHENOMENA
GRAPHIC GAUSSIAN MODEL
topic MEREOLOGICAL MODEL
PSYCHOMETRIC NETWORK ANALYSIS
PSYCHOSOCIAL PHENOMENA
GRAPHIC GAUSSIAN MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.1
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv This chapter examines psychometric network analysis (PNA), an innovative approach that conceptualizes psychological constructs as networks of interconnected variables. It emphasizes the importance of understanding the relationships among these variables, represented as nodes and edges in a network, to capture the complexity of psychological phenomena. The study highlights how researchers use PNA to analyze multivariate data collected at a single time point, particularly in psychometric assessments where they simultaneously assess multiple variables. PNA facilitates the exploration of conditional dependencies among variables, allowing researchers to visualize and interpret the intricate interactions within complex constructs such as political sophistication. Additionally, the chapter addresses the challenges associated with PNA, including the need for careful interpretation of causal relationships and the potential risk of overemphasizing psychometric analysis at the expense of the underlying theoretical frameworks. Ultimately, the chapter advocates for a balanced approach that integrates network analysis with traditional psychometric methods, fostering a deeper understanding of psychosocial constructs and their interactions while paving the way for future advancements in psychological networks.
Fil: Acuña, María Inés. Universidad Nacional del Comahue; Argentina
Fil: Brussino, Silvina Alejandra. Universidad Nacional de Córdoba. Instituto de Investigaciones Psicológicas. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Psicológicas; Argentina
description This chapter examines psychometric network analysis (PNA), an innovative approach that conceptualizes psychological constructs as networks of interconnected variables. It emphasizes the importance of understanding the relationships among these variables, represented as nodes and edges in a network, to capture the complexity of psychological phenomena. The study highlights how researchers use PNA to analyze multivariate data collected at a single time point, particularly in psychometric assessments where they simultaneously assess multiple variables. PNA facilitates the exploration of conditional dependencies among variables, allowing researchers to visualize and interpret the intricate interactions within complex constructs such as political sophistication. Additionally, the chapter addresses the challenges associated with PNA, including the need for careful interpretation of causal relationships and the potential risk of overemphasizing psychometric analysis at the expense of the underlying theoretical frameworks. Ultimately, the chapter advocates for a balanced approach that integrates network analysis with traditional psychometric methods, fostering a deeper understanding of psychosocial constructs and their interactions while paving the way for future advancements in psychological networks.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
status_str publishedVersion
format bookPart
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/272908
Acuña, María Inés; Brussino, Silvina Alejandra; Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems; IntechOpen; 2025; 1-15
978-1-83634-884-9
CONICET Digital
CONICET
url http://hdl.handle.net/11336/272908
identifier_str_mv Acuña, María Inés; Brussino, Silvina Alejandra; Psychometric Network Analysis: An Alternative Approach to Understanding Psychosocial Systems; IntechOpen; 2025; 1-15
978-1-83634-884-9
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.intechopen.com/online-first/1216448
info:eu-repo/semantics/altIdentifier/doi/10.5772/intechopen.1009924
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IntechOpen
publisher.none.fl_str_mv IntechOpen
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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