IDEAS home Printed from https://ideas.repec.org/a/spr/psycho/v87y2022i1d10.1007_s11336-022-09851-z.html
   My bibliography  Save this article

Possible Futures for Network Psychometrics

Author

Listed:
  • Denny Borsboom

    (University of Amsterdam)

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.

Suggested Citation

  • Denny Borsboom, 2022. "Possible Futures for Network Psychometrics," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 253-265, March.
  • Handle: RePEc:spr:psycho:v:87:y:2022:i:1:d:10.1007_s11336-022-09851-z
    DOI: 10.1007/s11336-022-09851-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11336-022-09851-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11336-022-09851-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Epskamp, Sacha & Cramer, Angélique O.J. & Waldorp, Lourens J. & Schmittmann, Verena D. & Borsboom, Denny, 2012. "qgraph: Network Visualizations of Relationships in Psychometric Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i04).
    2. Lisa D. Wijsen & Denny Borsboom, 2021. "Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 327-343, March.
    3. Kevin H. Lee & Qian Chen & Wayne S. DeSarbo & Lingzhou Xue, 2022. "Estimating Finite Mixtures of Ordinal Graphical Models," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 83-106, March.
    4. Maarten Marsman & Mijke Rhemtulla, 2022. "Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 1-11, March.
    5. Oisín Ryan & Ellen L. Hamaker, 2022. "Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 214-252, March.
    6. Denny Borsboom, 2006. "The attack of the psychometricians," Psychometrika, Springer;The Psychometric Society, vol. 71(3), pages 425-440, September.
    7. Sacha Epskamp & Joost Kruis & Maarten Marsman, 2017. "Estimating psychopathological networks: Be careful what you wish for," PLOS ONE, Public Library of Science, vol. 12(6), pages 1-13, June.
    8. Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker, 2022. "Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 156-187, March.
    9. Teague R. Henry & Donald J. Robinaugh & Eiko I. Fried, 2022. "On the Control of Psychological Networks," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 188-213, March.
    10. Michael J. Brusco & Douglas Steinley & Ashley L. Watts, 2022. "Disentangling relationships in symptom networks using matrix permutation methods," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 133-155, March.
    11. Nadja Bodner & Laura Bringmann & Francis Tuerlinckx & Peter Jonge & Eva Ceulemans, 2022. "ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 107-132, March.
    12. Sean W. Kelley & Claire M. Gillan, 2022. "Using language in social media posts to study the network dynamics of depression longitudinally," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    13. Lisa D. Wijsen & Denny Borsboom & Tiago Cabaço & Willem J. Heiser, 2019. "An Academic Genealogy of Psychometric Society Presidents," Psychometrika, Springer;The Psychometric Society, vol. 84(2), pages 562-588, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pedro Henrique Ribeiro Santiago & Gustavo Hermes Soares & Lisa Gaye Smithers & Rachel Roberts & Lisa Jamieson, 2022. "Psychological Network of Stress, Coping and Social Support in an Aboriginal Population," IJERPH, MDPI, vol. 19(22), pages 1-22, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maarten Marsman & Mijke Rhemtulla, 2022. "Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 1-11, March.
    2. Lisa D. Wijsen & Denny Borsboom, 2021. "Perspectives on Psychometrics Interviews with 20 Past Psychometric Society Presidents," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 327-343, March.
    3. Nadja Bodner & Laura Bringmann & Francis Tuerlinckx & Peter Jonge & Eva Ceulemans, 2022. "ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 107-132, March.
    4. M. Marsman & K. Huth & L. J. Waldorp & I. Ntzoufras, 2022. "Objective Bayesian Edge Screening and Structure Selection for Ising Networks," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 47-82, March.
    5. Georgia Mangion & Melanie Simmonds-Buckley & Stephen Kellett & Peter Taylor & Amy Degnan & Charlotte Humphrey & Kate Freshwater & Marisa Poggioli & Cristina Fiorani, 2022. "Modelling Identity Disturbance: A Network Analysis of the Personality Structure Questionnaire (PSQ)," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    6. Jayawickreme, Nuwan & Mootoo, Candace & Fountain, Christine & Rasmussen, Andrew & Jayawickreme, Eranda & Bertuccio, Rebecca F., 2017. "Post-conflict struggles as networks of problems: A network analysis of trauma, daily stressors and psychological distress among Sri Lankan war survivors," Social Science & Medicine, Elsevier, vol. 190(C), pages 119-132.
    7. Zhou, Jianhua & Zhang, Lulu & Gong, Xue, 2023. "Longitudinal network relations between symptoms of problematic internet game use and internalizing and externalizing problems among Chinese early adolescents," Social Science & Medicine, Elsevier, vol. 333(C).
    8. Yi-Lung Chen & Hsing-Ying Ho & Ray C. Hsiao & Wei-Hsin Lu & Cheng-Fang Yen, 2020. "Correlations between Quality of Life, School Bullying, and Suicide in Adolescents with Attention-Deficit Hyperactivity Disorder," IJERPH, MDPI, vol. 17(9), pages 1-12, May.
    9. Kan, Kees-Jan & van der Maas, Han L.J. & Levine, Stephen Z., 2019. "Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?," Intelligence, Elsevier, vol. 73(C), pages 52-62.
    10. Gabriel Olaru & Jeremy Burrus & Carolyn MacCann & Franklin M Zaromb & Oliver Wilhelm & Richard D Roberts, 2019. "Situational Judgment Tests as a method for measuring personality: Development and validity evidence for a test of Dependability," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-19, February.
    11. Don Watson & Manfred Krug & Claus-Christian Carbon, 2022. "The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1755-1781, April.
    12. Shinsuke Ohnuki & Yoshikazu Ohya, 2018. "High-dimensional single-cell phenotyping reveals extensive haploinsufficiency," PLOS Biology, Public Library of Science, vol. 16(5), pages 1-23, May.
    13. Martin Biehler & Heinz Holling & Philipp Doebler, 2015. "Saddlepoint Approximations of the Distribution of the Person Parameter in the Two Parameter Logistic Model," Psychometrika, Springer;The Psychometric Society, vol. 80(3), pages 665-688, September.
    14. Payton J. Jones & Patrick Mair & Thorsten Simon & Achim Zeileis, 2020. "Network Trees: A Method for Recursively Partitioning Covariance Structures," Psychometrika, Springer;The Psychometric Society, vol. 85(4), pages 926-945, December.
    15. Eduardo Fonseca-Pedrero & Susana Al-Halabí & Alicia Pérez-Albéniz & Martin Debbané, 2022. "Risk and Protective Factors in Adolescent Suicidal Behaviour: A Network Analysis," IJERPH, MDPI, vol. 19(3), pages 1-13, February.
    16. Simon Foster & Meichun Mohler-Kuo, 2020. "The proportion of non-depressed subjects in a study sample strongly affects the results of psychometric analyses of depression symptoms," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-13, July.
    17. Takehiko Ito, 2021. "The influence of psychological network on the willingness to communicate in a second language," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-15, September.
    18. Stefan Claus & Massimo Stella, 2022. "Natural Language Processing and Cognitive Networks Identify UK Insurers’ Trends in Investor Day Transcripts," Future Internet, MDPI, vol. 14(10), pages 1-18, October.
    19. Rozgonjuk, Dmitri & Schmitz, Florian & Kannen, Christopher & Montag, Christian, 2021. "Cognitive ability and personality: Testing broad to nuanced associations with a smartphone app," Intelligence, Elsevier, vol. 88(C).
    20. Stéphanie Baggio & Marlène Sapin & Yasser Khazaal & Joseph Studer & Hans Wolff & Gerhard Gmel, 2018. "Comorbidity of Symptoms of Alcohol and Cannabis Use Disorders among a Population-Based Sample of Simultaneous Users. Insight from a Network Perspective," IJERPH, MDPI, vol. 15(12), pages 1-12, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:psycho:v:87:y:2022:i:1:d:10.1007_s11336-022-09851-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.