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      Possible Futures for Network Psychometrics

      research-article
      Author(s):
      Publication date (Electronic):
      Journal: Psychometrika
      Publisher: Springer US
      Keywords: Network analysis, Complex systems, Exploratory data analysis, Time series, Causal models

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          Abstract

          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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          qgraph: Network Visualizations of Relationships in Psychometric Data

          Sacha Epskamp, Angélique O J Cramer, Lourens Waldorp … (2012)
          Article 0 comments Cited 1096 times – based on 0 reviews     Review now
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            Network analysis: an integrative approach to the structure of psychopathology.

            Denny Borsboom, Angélique O.J. Cramer (2013)
            In network approaches to psychopathology, disorders result from the causal interplay between symptoms (e.g., worry → insomnia → fatigue), possibly involving feedback loops (e.g., a person may engage in substance abuse to forget the problems that arose due to substance abuse). The present review examines methodologies suited to identify such symptom networks and discusses network analysis techniques that may be used to extract clinically and scientifically useful information from such networks (e.g., which symptom is most central in a person's network). The authors also show how network analysis techniques may be used to construct simulation models that mimic symptom dynamics. Network approaches naturally explain the limited success of traditional research strategies, which are typically based on the idea that symptoms are manifestations of some common underlying factor, while offering promising methodological alternatives. In addition, these techniques may offer possibilities to guide and evaluate therapeutic interventions.
            Article 0 comments Cited 868 times – based on 0 reviews     Review now
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              Graph drawing by force-directed placement

              Thomas M. J. Fruchterman, Edward Reingold (1991)
              Article 0 comments Cited 729 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Psychometrika
                Journal ID (iso-abbrev): Psychometrika
                Title: Psychometrika
                Publisher: Springer US (New York )
                ISSN (Print): 0033-3123
                ISSN (Electronic): 1860-0980
                Publication date (Electronic): 25 March 2022
                Publication date PMC-release: 25 March 2022
                Publication date (Print): 2022
                Volume: 87
                Issue: 1
                Pages: 253-265
                Affiliations
                GRID grid.7177.6, ISNI 0000000084992262, Department of Psychology, , University of Amsterdam, ; Nieuwe Achtergracht 129-B, 1018 WT Amsterdam, The Netherlands
                Article
                Publisher ID: 9851
                DOI: 10.1007/s11336-022-09851-z
                PMC ID: 9021084
                PubMed ID: 35334037
                SO-VID: c911570b-24cd-42cc-af77-7d95d5c8eaf0
                Copyright © © The Author(s) 2022
                License:

                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/.

                History
                Date accepted : 2 February 2022
                Categories
                Subject: Application Reviews and Case Studies
                Custom metadata
                issue-copyright-statement © The Author(s) under exclusive licence to The Psychometric Society 2022

                ScienceOpen disciplines: Clinical Psychology & Psychiatry
                Keywords: network analysis,complex systems,exploratory data analysis,time series,causal models
                Data availability:
                ScienceOpen disciplines: Clinical Psychology & Psychiatry
                Keywords: network analysis, complex systems, exploratory data analysis, time series, causal models

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